JP2013200656A - Vehicle data processing system, vehicle data processing method, vehicle data processing device, program and recording medium - Google Patents

Abstract

PROBLEM TO BE SOLVED: To process data on a vehicle travelling on a road.SOLUTION: A vehicle data processing system comprises: a plurality of imaging devices 130 which are arranged above a road R in a width direction and take obliquely downward images over time; a measuring device 170 which is arranged so as to scan the road R in the width direction in imaging ranges Aa to Ac of the imaging devices 130 and measures dimensions of a vehicle passing a scan range L; and a vehicle data processing device 110 which processes data on the vehicle travelling on the road R. The vehicle data processing device 110 has a data association section which associates a piece of measurement data including the same information as that on the vehicle imaged by the imaging devices 130, among a plurality of pieces of measurement data including information on the vehicle measured by the measuring device 170, with a piece of image data including the information on the vehicle imaged by the imaging devices 130.

Description

  The present invention relates to a vehicle data processing system, a vehicle data processing method, a vehicle data processing device, a program, and a recording medium. In particular, the present invention relates to a vehicle data processing system for processing data relating to a vehicle traveling on a road, a vehicle data processing method, a vehicle data processing device, a program for causing a computer to function as the vehicle data processing device, and a recording medium storing the program About.

  Road pricing is a means of managing traffic demand, such as reducing road congestion by charging the user for specific road usage, and in particular, implementing road pricing using electrical equipment. The method is called ERP (Electronic Load Pricing).

  FIG. 14 shows an example of an ERP 900 usage environment. When using the ERP 900, the user of the ERP 900 needs to mount an on-vehicle device in the vehicle. Here, the vehicle-mounted device is a wireless device for wirelessly communicating information necessary for charging a toll between the roadside antennas 930 and 960. The vehicle is equipped with a vehicle-mounted device that charges a toll according to the vehicle type.

  In the ERP 900, a roadside antenna 930, a camera 940, a sensor 950, and a roadside antenna 960 are sequentially provided in the same lane. When the vehicle enters the communication range of the roadside antenna 930 in the lane, the vehicle-mounted device deducts the toll from the balance of electronic money charged in an IC (Integrated Circuit) card inserted in the vehicle-mounted device.

  When the vehicle enters the detection range of the sensor 950, the sensor 950 detects the size of the vehicle, for example, and transmits data indicating the size to the control device 920. When the control device 920 receives the data transmitted from the sensor 950, the control device 920 specifies, for example, the vehicle type of the vehicle based on the size of the vehicle indicated by the data.

  When the vehicle enters the communication range of the roadside antenna 960, the roadside antenna 960 receives data indicating the toll deducted from the balance of the electronic money from the in-vehicle device, and sends the data to the control device 920. Forward.

  When control device 920 receives the data transferred from roadside antenna 960, control device 920 determines whether or not the toll amount of the toll indicated by the data is valid as the toll for the vehicle type specified as described above. To do. For example, when the vehicle-mounted device mounted on the vehicle does not correspond to the vehicle type of the vehicle, the toll fee corresponding to the specified vehicle type is not withdrawn. Judge that it is not valid. The control device 920 determines that the withdrawal amount is not valid as a toll even when the balance of electronic money is insufficient or when the on-vehicle device is not installed.

  When the controller 920 determines that the withdrawal amount is not valid as a toll, when the rear end of the vehicle is detected by the sensor 950, the camera 940 captures the rear end of the vehicle and controls the image data. Transmit to device 920. Here, the number plate provided at the rear end of the vehicle is shown in the image captured by the camera 940. Upon receiving the image data transmitted from the camera 940, the control device 920 transmits the image data to the server 910.

  When the server 910 receives the image data transmitted from the control device 920, the server 910 recognizes the image data by optical characters and reads the vehicle number displayed on the license plate. In this way, the road operator can identify the vehicle number of the violating vehicle.

  Various techniques related to such a background are known (see, for example, Patent Document 1). Patent Document 1 describes a mobile charging method that realizes a reduction in construction costs. In this mobile charging method, an on-vehicle device that stores a charging zone indicating an area to be charged and an on-vehicle device identification information assigned to individually identify the on-vehicle device is mounted on the mobile device using a GPS function. Based on the obtained position information, it is recognized that the user has entered the billing zone. In this mobile charging method, the local computer system generates shooting data by shooting a moving body image in the charging zone. In this mobile charging method, the center computer system receives the mobile image from the local computer. This mobile charging method extracts and stores license plate information from the mobile image. In this mobile charging method, when the vehicle-mounted device enters the charging zone, transaction information including the vehicle-mounted device identification information is transmitted to the authentication computer by wireless communication at a predetermined timing. And this mobile body billing method is for the authentication computer to charge the mobile body equipped with the on-vehicle device based on the comparison between the on-vehicle device identification information received from the on-vehicle device and the previously registered identification information. Authenticate.

JP 2007-207220 A

  By the way, in ERP, there exists a request to acquire the information of the dimension of the vehicle with the information of the vehicle number of the number plate of a vehicle.

  In order to solve the above problems, according to a first aspect of the present invention, there is provided a vehicle data processing system for processing data relating to a vehicle traveling on a road, provided side by side in the width direction above the road, A plurality of imaging devices that capture the image of the vehicle over time, a measuring device that is provided so as to scan the width direction of the road in the imaging range of the imaging device, and that measures the dimensions of the vehicle passing through the scanning range, and travels on the road A vehicle data processing device that processes data relating to the vehicle, and the vehicle data processing device is the same information as the vehicle information imaged by the imaging device among a plurality of measurement data including vehicle information measured by the measurement device. The data linking unit for linking one measurement data including, to one imaging data including information on the vehicle imaged by the imaging device.

  The vehicle data processing device has the same vehicle type classification as the vehicle type classification of the target vehicle of one imaging data including the vehicle information imaged by the imaging device from the measurement data including the vehicle information measured by the measuring device. The vehicle type division search unit that searches for measurement data including vehicle information is further included. When the vehicle type division search unit searches for one measurement data, the data association unit retrieves the one measurement data as one You may link with imaging data.

  The vehicle data processing device is the same as the time zone in which the target vehicle of one imaging data including the vehicle information imaged by the imaging device is imaged from the measurement data including the vehicle information measured by the measuring device. It further includes a same time zone search unit that searches for measurement data including vehicle information measured in the time zone, and the same vehicle type category search unit picks up one image from the measurement data searched by the same time zone search unit. You may search the measurement data containing the information of the vehicle of the vehicle classification same as the vehicle classification of the object vehicle of data.

  The vehicle data processing device performs measurement at the same position as the imaging position of the target vehicle of one imaging data including information on the vehicle imaged by the imaging device from the measurement data including the vehicle information measured by the measuring device. The same position search unit that searches for measurement data including information on the vehicle that has been acquired is further included, and the same time period search unit determines whether the target vehicle of one imaging data is among the measurement data searched by the same position search unit. You may search the measurement data containing the information of the vehicle measured in the same time slot | zone as the imaged time slot | zone.

  In the vehicle data processing device, when the vehicle type classification search unit retrieves a plurality of measurement data, the vehicle speed of the vehicle targeted by each of the plurality of measurement data and the vehicle speed of the vehicle targeted by one imaging data are determined. The vehicle speed evaluation unit that evaluates the degree of coincidence is further provided, and the data linking unit targets a vehicle having a high degree of coincidence evaluated by the vehicle speed evaluation unit among a plurality of measurement data searched by the vehicle type division search unit. One piece of measurement data that is set may be linked to one piece of imaging data.

  When the vehicle type classification search unit searches for a plurality of measurement data, the vehicle data processing device includes a time zone in which the vehicles targeted by each of the plurality of measurement data are measured, and a target vehicle of one imaging data Further includes a time zone evaluation unit that evaluates the degree of coincidence with the time zone in which the image is captured, and the data association unit is evaluated by the time zone evaluation unit among a plurality of measurement data searched by the vehicle type division search unit One measurement data targeting a vehicle measured in a time zone with a high degree of coincidence may be associated with one imaging data.

  In the vehicle data processing device, when the vehicle type classification search unit searches for a plurality of measurement data, the position of the vehicle targeted by each of the plurality of measurement data and the target vehicle of one imaging data are It further has a position evaluation unit that evaluates the degree of coincidence with the imaged position, and the data linking unit has a degree of coincidence evaluated by the position evaluation unit among a plurality of measurement data searched by the vehicle type division search unit. One measurement data targeting a vehicle measured at a high position may be associated with one imaging data.

  When the vehicle data processing device has not searched for measurement data including the same information as the information of the target vehicle of one imaging data as a result of searching the measurement data by the same vehicle type division search unit or the same time zone search unit And a time determination unit that determines whether or not the measurement start time of the vehicle being measured by the measurement device is a time before the time at which the target vehicle of the one imaging data is last imaged, When the time determination unit determines that the measurement start time is a time before the time when the target vehicle of one imaging data is last imaged, the data association unit is configured to display the measurement data for the one imaging data. Pegging may be suspended.

  When the time determination unit determines that the measurement start time is not a time before the time when the target vehicle of one imaging data was last imaged, the data association unit measures the one imaging data. The measurement data may be linked to the one imaging data without linking the data.

  According to a second aspect of the present invention, there is provided a vehicle data processing method for processing data relating to a vehicle traveling on a road, wherein a plurality of images are provided side by side in the width direction above the road and image a diagonally lower portion over time. Among a plurality of measurement data including vehicle information measured by a measurement device that is provided so as to scan the width direction of the road in the imaging range of the imaging device and that measures the size of the vehicle passing through the scanning range, the imaging device A data associating step of associating one piece of measurement data including the same information as the vehicle imaged by the first imaging data including information of the vehicle imaged by the imaging device.

  According to a third aspect of the present invention, there is provided a vehicle data processing device that processes data relating to a vehicle traveling on a road, and is provided side by side in the width direction above the road, and is configured to take a plurality of images of an obliquely lower portion over time Among a plurality of measurement data including vehicle information measured by a measurement device that is provided so as to scan the width direction of the road in the imaging range of the imaging device and that measures the size of the vehicle passing through the scanning range, the imaging device A data linking unit that links one piece of measurement data including the same information as the vehicle imaged by the first imaging data including the vehicle information imaged by the imaging device.

  According to a fourth aspect of the present invention, there is provided a program for causing a computer to function as a vehicle data processing device for processing data relating to a vehicle traveling on a road, the computer being provided side by side in the width direction above the road, Vehicle information measured by a measuring device that is provided so as to scan the width direction of a road in an imaging range of a plurality of imaging devices that capture an image of a diagonally lower portion over time, and measures the dimensions of the vehicle passing through the scanning range. Among the plurality of measurement data included, one measurement data including the same information as the vehicle imaged by the imaging device is caused to function as a data linking unit for linking to one imaging data including the vehicle information imaged by the imaging device. .

  According to a fifth aspect of the present invention, there is provided a recording medium recording a program for causing a computer to function as a vehicle data processing device for processing data relating to a vehicle traveling on a road, the computer being arranged in a width direction above the road. Measured by a measuring device that is provided side by side and is provided so as to scan the width direction of the road in the imaging range of a plurality of imaging devices that capture images obliquely below with time. Data that associates one measurement data that includes the same information as the vehicle imaged by the imaging device, with a single imaging data that includes the vehicle information imaged by the imaging device, among a plurality of measurement data that includes the vehicle information. A program to function as a linking unit was recorded.

  The above summary of the invention does not enumerate all necessary features of the present invention. Also, a sub-combination of these feature groups can also be an invention.

  As is apparent from the above description, according to the present invention, it is possible not only to identify an unauthorized vehicle more reliably, but also to use a specific road based on the size of the actually traveling vehicle. The charge amount can be determined.

It is a figure which shows an example of the utilization environment of the vehicle data processing system 100 which concerns on one Embodiment. It is a figure which shows an example of the block configuration of the vehicle data processing apparatus. It is a figure which shows an example of the information stored in the imaging data storage part 122 in a table format. It is a figure which shows an example of the information stored in the imaging data storage part 122 in a table format. It is a figure which shows an example of the information stored in the measurement data storage part 123 in a table format. It is a figure which shows an example of the information stored in the measurement data storage part 123 in a table format. It is a figure which shows an example of the operation | movement sequence of the vehicle data processing apparatus 110, the camera 130, and the imaging data generation apparatus 150. It is a figure which shows an example of the operation | movement sequence of the vehicle data processing apparatus 110, the laser scanner 170, and the measurement data generation apparatus 190. FIG. It is a figure which shows an example of the operation | movement sequence of the vehicle data processing apparatus 110 and the measurement data generation apparatus 190. FIG. It is a figure which shows an example of the operation | movement flow of the vehicle data processing apparatus. It is a figure which shows an example of the operation | movement flow of the vehicle data processing apparatus. It is a figure which shows an example of the operation | movement flow of the vehicle data processing apparatus. It is a figure which shows an example of the hardware constitutions of the computer 800 which comprises the vehicle data processing apparatus 110 which concerns on this embodiment. It is a figure which shows an example of the utilization environment of ERP900.

  Hereinafter, the present invention will be described through embodiments of the invention. However, the following embodiments do not limit the claimed invention, and all combinations of features described in the embodiments are described below. However, this is not always essential for the solution of the invention.

  FIG. 1 shows an example of a usage environment of a vehicle data processing system 100 according to an embodiment. The vehicle data processing system 100 is a system that processes data relating to a vehicle traveling on a road R composed of a plurality of lanes Ra to c. The road R composed of a plurality of lanes Ra to c may be an example of the “road” in the present invention.

  The vehicle data processing system 100 includes a vehicle data processing device 110, a plurality of cameras 130a to 130c (hereinafter collectively referred to as cameras 130), and a plurality of imaging data generation devices 150a to 150c (hereinafter collectively referred to as imaging data generation devices 150). .), A laser scanner 170, and a measurement data generation device 190. The camera 130 may be an example of the “imaging device” in the present invention. The laser scanner 170 may be an example of the “measuring device” in the present invention.

  The vehicle data processing device 110 is communicatively connected to the imaging data generation device 150 and the measurement data generation device 190. Then, the vehicle data processing device 110 processes data relating to a vehicle traveling on the road R. More specifically, the vehicle data processing device 110 receives the imaging data transmitted from the imaging data generation device 150. Here, the imaging data is data including vehicle information captured by the camera 130. Further, the vehicle data processing device 110 receives the measurement data transmitted from the measurement data generation device 190. Here, the measurement data is data including vehicle information measured by the laser scanner 170. And the vehicle data processing apparatus 110 links | couples one measurement data including the same information as the vehicle imaged with the camera 130 among one of several measurement data with one imaging data.

  The cameras 130 are arranged side by side in the width direction of the gate Ga spanned above the road R. Here, the camera 130a is provided to have an imaging range Aa in which a vehicle traveling in the lane Ra can be imaged. Moreover, 130b is provided so that it may have the imaging range Ab which can image the vehicle which drive | works the lane Rb. Moreover, 130c is provided so that it may have the imaging range Ac which can image the vehicle which drive | works the lane Rc. Each camera 130 is electrically connected to one imaging data generation device 150. The camera 130 converts the image into an electrical signal using a semiconductor element that reacts to light such as a charge coupled devices (CCD) or a complementary metal oxide semiconductor (CMOS), and outputs the image as image data to the imaging data generation device 150. To do.

  Each of the imaging data generation devices 150 is electrically connected to one camera 130. When the imaging data generation device 150 receives the input of the image data output from the camera 130, when the vehicle is reflected in the image, the imaging data generation device 150 generates imaging data including information on the vehicle. Then, the imaging data generation device 150 transmits the generated imaging data to the vehicle data processing device 110.

  For example, the imaging data generation device 150 includes imaging data including information on an image ID (identifier), a vehicle number, a license plate type, a vehicle speed, a camera ID, a first imaging time, and a last imaging time as vehicle information. Generate.

  The image ID information is information for uniquely identifying each image data among a plurality of image data. More specifically, for example, the camera 130 captures images over time at a speed of about 20 (sheets / second). Therefore, the camera 130 images the vehicle a plurality of times while the vehicle passes through the imaging range. The imaging data generation device 150 stores image data in which the number plate of the vehicle is most easily visually recognized among image data showing the same vehicle. For example, the image data in which the license plate is most easily visually recognized is image data in which the license plate is shown most greatly. This image data is used later as evidence of fraud when the vehicle in the image is an unauthorized vehicle. The image ID information is information for uniquely identifying the image data.

  The vehicle number information is information indicating the vehicle number displayed on the license plate of the vehicle. More specifically, when the number plate of the vehicle is reflected in the image, the imaging data generation device 150 recognizes the image with optical characters and reads the vehicle number displayed on the number plate. The vehicle number information is information indicating the vehicle number read in this way.

  The license plate type information is information indicating the type of the license plate of the vehicle. More specifically, the imaging data generation device 150 identifies the type of the license plate when the license plate of the vehicle is shown in the image. For example, the imaging data generation device 150 determines whether the object is a vehicle based on the feature points of the object shown in the image. If the imaging data generation device 150 determines that the object shown in the image is a vehicle, the imaging data generation device 150 detects a rectangular area at a predetermined position in the area occupied by the vehicle in the image as a license plate. The imaging data generation device 150 identifies the type of the license plate based on the size of the area in the image detected as the license plate. The license plate type information is information indicating the type of the license plate identified in this way.

  The vehicle speed information is information indicating the speed of the vehicle. More specifically, as described above, the imaging data generation device 150 detects a license plate in the image. Then, the imaging data generation device 150 determines the vehicle's license plate based on the time from the imaging time of the first image of the vehicle's license plate to the imaging time of the last image of the vehicle's license plate. Calculate the speed. The vehicle speed information is information indicating the vehicle speed calculated in this manner.

  The camera ID information is information for uniquely identifying each camera 130 among the plurality of cameras 130.

  The information of the first imaging time is the imaging time of the image where the license plate of one vehicle is first imaged. Moreover, the information of the last imaging time is the imaging time of the image where the license plate of the one vehicle was imaged last. More specifically, as described above, the imaging data generation device 150 detects a license plate in the image. The information of the first detection time is the imaging time of the image in which the license plate of one vehicle detected in this way is first imaged. Moreover, the information of the last imaging time is the imaging time of the image in which the license plate of the one vehicle detected in this way was last imaged.

  The laser scanner 170 is provided on a gate Gb spanned above the road R so as to scan the width direction of the road R in the imaging range Aa to c of the cameras 130a to 130c. The laser scanner 170 is electrically connected to the measurement data generation device 190. Then, the laser scanner 170 scans the scanning range L using a light beam, and measures the dimensions of the vehicle passing through the scanning range L. Then, the laser scanner 170 outputs data indicating the vehicle dimensions, which is the measurement result, to the measurement data generation device 190.

  The measurement data generation device 190 is electrically connected to the laser scanner 170. When the measurement data generation device 190 receives input of data output from the laser scanner 170, the measurement data generation device 190 generates measurement data including vehicle information such as the dimensions of the vehicle indicated by the data. Then, the measurement data generation device 190 transmits the generated measurement data to the vehicle data processing device 110.

  For example, the measurement data generation device 190 generates imaging data including information on a measurement position, a vehicle length, a vehicle width, a vehicle height, a vehicle speed, a measurement start time, and a measurement end time as vehicle information.

  The information on the measurement position is information indicating the measurement position in the road width direction of the vehicle measured by the laser scanner 170. More specifically, the laser scanner 170 detects the center position of the vehicle with the distance from the end of the road R in the width direction of the road R.

  The vehicle length information is information indicating the dimension from the front end to the rear end of the vehicle measured by the laser scanner 170.

  The vehicle width information is information indicating the dimension from the left end to the right end of the vehicle measured by the laser scanner 170.

  The vehicle height information is information indicating the height of the vehicle measured by the laser scanner 170.

  The vehicle speed information is information indicating the vehicle speed measured by the laser scanner 170. More specifically, the measurement data generation device 190 calculates the speed of the vehicle based on the time taken from when the laser scanner 170 starts measuring the vehicle dimensions until it stops measuring the vehicle dimensions. To do. The vehicle speed (km / h) information is information indicating the vehicle speed calculated in this way.

  The measurement start time information is information indicating the time at which the laser scanner 170 starts measuring the dimensions of one vehicle. The measurement end time information is information indicating the time at which the laser scanner 170 has finished measuring the dimensions of the one vehicle.

  In addition, the measurement data generation device 190 transmits measurement time data indicating the measurement start time of the vehicle being measured by the laser scanner 170 to the vehicle data processing device 110. For example, the measurement data generation device 190 transmits the time data during measurement every predetermined time.

  In the present embodiment, for the purpose of preventing the explanation from becoming complicated, the vehicle data processing system 100 includes a single vehicle data processing device 110, a laser scanner 170, and a measurement data generation device 190. explain. However, the vehicle data processing system 100 may include a plurality of vehicle data processing devices 110, a laser scanner 170, and a measurement data generation device 190.

  FIG. 2 shows an example of a block configuration of the vehicle data processing device 110. The vehicle data processing device 110 includes an imaging data receiving unit 111, a measurement data receiving unit 112, a measuring time data receiving unit 113, a same position searching unit 114, a same time zone searching unit 115, a same vehicle type division searching unit 116, a vehicle speed evaluating unit 117, a time zone evaluation unit 118, a position evaluation unit 119, a time determination unit 120, a data association unit 121, an imaging data storage unit 122, and a measurement data storage unit 123. In the following description, the function and operation of each component will be described in detail.

  The imaging data reception unit 111 receives imaging data transmitted from the imaging data generation device 150.

  The measurement data receiving unit 112 receives measurement data transmitted from the measurement data generation device 190.

  The measurement time data receiving unit 113 receives the measurement time data transmitted from the measurement data generation device 190.

  The position search unit 114 searches the measurement data for measurement data including vehicle information measured at the same position as the imaging position of the target vehicle of one imaging data.

  The same time zone search unit 115 searches the measurement data for measurement data including vehicle information measured in the same time zone as the time zone in which the target vehicle of the one imaging data was imaged. More specifically, the same time zone search unit 115 is measured in the same time zone as the time zone when the target vehicle of one imaging data was imaged from the measurement data searched by the same location search unit 114. Search the measurement data including information on the vehicle.

  The vehicle type division search unit 116 searches the measurement data for measurement data including information on vehicles in the same vehicle type division as the vehicle type division of the target vehicle of one imaging data. More specifically, the same vehicle type segment search unit 116 obtains information on vehicles in the same vehicle type category as the vehicle type category of the target vehicle of one imaging data from the measurement data searched by the same time zone search unit 115. Search for the measurement data to be included.

  When the vehicle type classification search unit 116 searches for a plurality of measurement data, the vehicle speed evaluation unit 117 determines the vehicle speed of the vehicle targeted by each of the plurality of measurement data, the vehicle speed of the target vehicle of one imaging data, and Evaluate the degree of matching.

  The time zone evaluation unit 118, when the vehicle type division search unit 116 searches for a plurality of measurement data, the time zone when the vehicles targeted by the plurality of measurement data are measured, and the target of one imaging data The degree of coincidence with the time zone in which the vehicle was imaged is evaluated.

  The position evaluation unit 119, when the vehicle type division search unit 116 searches for a plurality of measurement data, the position at which the vehicle targeted by each of the plurality of measurement data is measured, and the vehicle that is the target of one imaging data The degree of coincidence with the imaged position is evaluated.

  As a result of the vehicle type category search unit 116 or the same time zone search unit 115 searching for the measurement data, the time determination unit 120 has not searched for the measurement data including the same information as the target vehicle information of one imaging data. In this case, it is determined whether or not the measurement start time of the vehicle being measured by the laser scanner 170 is a time before the time when the target vehicle of the one image data is imaged last.

  The data association unit 121 associates one piece of measurement data including the same information as the vehicle information imaged by the camera 130 among the plurality of measurement data, with one piece of imaging data including the vehicle information. More specifically, when the same vehicle type division search unit 116 searches for one measurement data, the data association unit 121 associates the one measurement data with one imaging data. In addition, the data association unit 121 includes, as a plurality of measurement data searched by the vehicle type category search unit 116, one measurement data targeting a vehicle with a high degree of coincidence evaluated by the vehicle speed evaluation unit 117. Link to one image data. In addition, the data association unit 121 targets a vehicle measured in a time zone having a high degree of coincidence evaluated by the time zone evaluation unit 118 among a plurality of measurement data searched by the same vehicle type category search unit 116. Are linked to one piece of imaging data. In addition, the data association unit 121 is one measurement that targets a vehicle measured at a position with a high degree of matching evaluated by the position evaluation unit 119 among the plurality of measurement data searched by the vehicle type category search unit 116. Data is linked to one piece of imaging data. In addition, when the time determination unit 120 determines that the measurement start time is a time before the time when the target vehicle of one imaging data was last imaged, the data association unit 121 determines that one imaging data Suspend the linking of measurement data to. In addition, when the time determination unit 120 determines that the measurement start time is not a time before the time when the target vehicle of one imaging data is last imaged, the data association unit 121 determines that one imaging data It is assumed that the measurement data is associated with one of the imaging data without linking the measurement data.

  3 and 4 show an example of information stored in the imaging data storage unit 122 in a table format. In the imaging data storage unit 122, imaging data ID, image ID, vehicle number, license plate type, vehicle speed (km / h), camera ID, first imaging time (year / month / day / hour: minute: second), Each information of the last imaging time (year / month / day / hour: minute: second) and measurement data ID is stored in association with each other.

  The imaging data ID information is information for uniquely identifying each imaging data among a plurality of imaging data. The information of the imaging data ID is associated with each piece of information when the information included in the imaging data received from the imaging data generation device 150 is stored in the imaging data storage unit 122.

  Image ID, vehicle number, license plate type, vehicle speed (km / h), camera ID, first imaging time (year / month / day / hour: minute: second), and last imaging time (year / month / day / Each information of (hour: minute: second) is information included in the imaging data received from the imaging data generation device 150. That is, as described above, the image ID information is information for uniquely identifying each image data among a plurality of image data. The vehicle number information is information indicating the vehicle number displayed on the license plate of the vehicle. Further, the license plate type information is information indicating the type of the license plate of the vehicle. The vehicle speed (km / h) information is information indicating the speed of the vehicle. The camera ID information is information for uniquely identifying each camera 130 among the plurality of cameras 130. The information of the first imaging time (year / month / day / hour: minute: second) is the imaging time of the image when the license plate of one vehicle is first imaged. Moreover, the information of the last imaging time is the imaging time of the image where the license plate of the one vehicle was imaged last.

  The measurement data ID information is information for identifying measurement data associated with the imaging data identified by the imaging data ID.

  5 and 6 show an example of information stored in the measurement data storage unit 123 in a table format. The measurement data storage unit 123 includes a measurement data ID, a measurement position, a vehicle length (mm), a vehicle width (mm), a vehicle height (mm), a vehicle speed (km / h), and a measurement start time (year / month / day / (Hour: minute: second), measurement end time (year / month / day / hour: minute: second), and imaging data ID are stored in association with each other.

  The measurement data ID information is information for uniquely identifying each measurement data among a plurality of measurement data. The information of the measurement data ID is associated with each piece of information when the pieces of information included in the measurement data received from the measurement data generation device 190 are stored in the measurement data storage unit 123.

  Measurement position, vehicle length (mm), vehicle width (mm), vehicle height (mm), vehicle speed (km / h), measurement start time (year / month / day / hour: minute: second), and measurement end time ( Each information of year / month / day / hour: minute: second is information included in the measurement data received from the measurement data generation device 190. That is, as described above, the measurement position information is information indicating the measurement position of the vehicle measured by the laser scanner 170. Further, the vehicle length (mm) information is information indicating the dimension from the front end to the rear end of the vehicle measured by the laser scanner 170. Further, the vehicle width (mm) information is information indicating the dimension from the left end to the right end of the vehicle measured by the laser scanner 170. The vehicle height (mm) information is information indicating the vehicle height measured by the laser scanner 170. The vehicle speed (km / h) information is information indicating the vehicle speed measured by the laser scanner 170. Further, the information of the measurement start time (year / month / day / hour: minute: second) is information indicating the time when the laser scanner 170 starts measuring the dimensions of one vehicle. Further, the measurement end time information (year / month / day / hour: minute: second) is information indicating the time when the laser scanner 170 has finished measuring the dimensions of the one vehicle.

  The imaging data ID information is information for identifying imaging data associated with the measurement data identified by the measurement data ID.

  FIG. 7 shows an example of an operation sequence of the vehicle data processing device 110, the camera 130, and the imaging data generation device 150. In the description of this operation sequence, processing related to imaging data will be described in detail. In the description of this operation sequence, both FIGS. 1 to 6 are referred to.

  The camera 130 captures an image in the imaging range (S101) and outputs it as image data (S102). More specifically, the camera 130 sequentially outputs image data captured at a speed of about 20 (sheets / second), for example.

  When receiving the input of the image data output from the camera 130, the imaging data generation device 150 recognizes the image data as an optical character and generates imaging data (103). More specifically, the imaging data generation device 150 discards the image data when the vehicle is not shown in the image. On the other hand, when the vehicle is shown in the image, the imaging data generation device 150 stores the image data. Here, as described above, the camera 130 captures an image at a speed of about 20 (sheets / second). Therefore, the camera 130 continuously outputs image data showing the same vehicle. Then, the imaging data generation device 150 recognizes optical characters of the series of image data and extracts the vehicle number of the license plate of the vehicle. As a result, when the same vehicle number is extracted, the imaging data generation device 150 treats the vehicle number as the vehicle number of the same vehicle. Then, the imaging data generation device 150 includes each of the image ID, the vehicle number, the license plate type, the vehicle speed, the camera ID, the first imaging time, and the last imaging time as the vehicle information shown in the optical character recognized image. Imaging data including information is generated. Then, the imaging data generation device 150 transmits the generated imaging data to the vehicle data processing device 110 (S104).

  When the imaging data receiving unit 111 of the vehicle data processing device 110 receives the imaging data transmitted from the imaging data generation device 150, the imaging data is associated with each piece of information included in the imaging data and information of the imaging data ID. The data is stored in the storage unit 122 (S105).

  In this manner, information as shown in FIGS. 3 and 4 is stored in the imaging data storage unit 122 of the vehicle data processing apparatus 110.

  FIG. 8 shows an example of an operation sequence of the vehicle data processing device 110, the laser scanner 170, and the measurement data generation device 190. In the description of this operation sequence, processing related to measurement data will be described in detail. In the description of this operation sequence, both FIGS. 1 to 7 are referred to.

  The laser scanner 170 scans the scanning range L using light and measures the dimensions of the vehicle passing through the scanning range L (S201). And the laser scanner 170 outputs the data which show the dimension of the vehicle which is the measurement result (S202).

  When the measurement data generation device 190 receives input of data output from the laser scanner 170, the measurement position, measurement start, in addition to the vehicle length, vehicle width, and vehicle height information that are the dimensions of the vehicle indicated by the data Measurement data including each information of time and measurement end time is generated (S203). Then, the measurement data generation device 190 transmits the generated measurement data to the vehicle data processing device 110 (S204).

  When the measurement data receiving unit 112 of the vehicle data processing device 110 receives the measurement data transmitted from the measurement data generation device 190, the measurement data is associated with each piece of information included in the measurement data and information of the measurement data ID. The data is stored in the storage unit 123 (S205).

  In this way, information as shown in FIGS. 5 and 6 is stored in the measurement data storage unit 123 of the vehicle data processing apparatus 110.

  FIG. 9 shows an example of an operation sequence of the vehicle data processing device 110 and the measurement data generation device 190. In the description of this operation sequence, processing related to time data during measurement will be described in detail. In the description of this operation sequence, both FIGS. 1 to 8 are referred to.

  The measurement data generation device 190 transmits measurement time data indicating the measurement start time of the vehicle being measured by the laser scanner 170 to the vehicle data processing device 110, for example, at predetermined intervals (S301).

  When the measured time data receiving unit 113 of the vehicle data processing device 110 receives the measured time data transmitted from the measured data generating device 190, the measured time data receiving unit 113 sends the measured time data to the time determining unit 120.

  In this way, the time determination unit 120 of the vehicle data processing apparatus 110 can perform processing using the measurement start time of the vehicle being measured by the laser scanner 170 indicated by the measurement time data.

  10 to 12 show an example of an operation flow of the vehicle data processing apparatus 110. FIG. This operation flow details processing for associating measurement data with imaging data. In the description of this operation flow, both FIGS. 1 to 9 are referred to.

  First, the same-position search unit 114 of the vehicle data processing device 110 obtains, from the imaging data whose information is stored in the imaging data storage unit 122, one imaging data that is not yet associated with the measurement data. Is selected as imaging data to be linked. More specifically, the same-position search unit 114 selects one image data that has not yet been stored in the measurement data ID information associated with the information stored in the image data storage unit 122. To do.

  And the same position search part 114 is the information of the vehicle measured in the same position as the imaging position of the object vehicle of said one imaging data from the measurement data in which information is stored in the measurement data storage part 123. The measurement data including is searched (S401). More specifically, the same position search unit 114 reads the information of the camera ID of the one image data stored in the image data storage unit 122. Then, the position search unit 114 captures the imaging range of the camera 130 in which the information value of the measurement position is identified by the information of the camera ID from the measurement data stored in the measurement data storage unit 123. The measurement data including information on the measurement position of the value corresponding to is searched. As a result, when one or a plurality of measurement data including information on the vehicle measured at the same position is searched (S402: Yes), the same position search unit 114 measures the measurement data ID of the one or more measurement data. Then, the image data ID of the one image data is sent to the same time period search unit 115.

  When the same time zone search unit 115 of the vehicle data processing device 110 receives the data sent from the same position search unit 114, the vehicle that is the target of one imaging data from the measurement data searched by the same position search unit 114. The measurement data including the vehicle information measured in the same time zone as when the image is taken is searched (S403). More specifically, the same time period search unit 115 first matches the imaging data ID sent from the same position search unit 114 from the information stored in the imaging data storage unit 122. Information on the imaging time (year / month / day / hour: minute: second) and information on the last imaging time (year / month / day / hour: minute: second) are read out. Then, the same time period search unit 115 starts the last imaging time (year / month / day / hour: minute) from the time indicated by the information of the first imaging time (year / month / day / hour: minute: second). : Time), the time zone up to the time indicated by the information of the second) is the time zone when the vehicle targeted by the one imaging data is imaged. Then, the same time zone search unit 115 includes a measurement start time (year / month / day / hour: minute: second) and a measurement end time (year / month / day / hour :) stored in the measurement data storage unit 123. With reference to each piece of information of minutes: seconds, the measurement start time (year / month / day / hour: from one or more measurement data identified by the measurement data ID sent from the same position search unit 114: The time period from the time indicated by the information of minutes: seconds to the time indicated by the information of the measurement end time (year / month / day / hours: minutes: seconds) is targeted for the one imaging data described above. Measurement data for a vehicle measured in a time zone that partially overlaps with a time zone in which a vehicle is imaged is searched. As a result, when the measurement data including the vehicle information measured in the same time zone is searched (S404: Yes), the same time zone search unit 115 includes the measurement data ID of the one or more measurement data, and the above The imaging data ID of the one imaging data is sent to the vehicle type category search unit 116.

  Upon receiving the data sent from the same time zone search unit 115, the same vehicle type category search unit 116 of the vehicle data processing apparatus 110 receives a target of one imaging data from the measurement data searched by the same time zone search unit 115. The measurement data including the vehicle information of the same vehicle type as the vehicle type of the vehicle is searched (S405). More specifically, the vehicle type category search unit 116 includes a vehicle associated with the imaging data ID sent from the same time zone search unit 115 from the information stored in the imaging data storage unit 122. Read number information. Here, when the vehicle number information is empty, the vehicle type category search unit 116 reads the information of the license plate type instead of the vehicle number information. The vehicle type classification search unit 116 targets one imaging data based on the vehicle number character string indicated by the vehicle number information or the license plate type indicated by the license plate type information. Identify the vehicle category. For example, when the initial character of the character string of the vehicle number is “S”, the vehicle type category search unit 116 specifies that the vehicle type category of the vehicle targeted by one imaging data is a normal vehicle. Further, for example, when the type of the license plate is a normal vehicle, the vehicle type category search unit 116 specifies that the vehicle type category of the vehicle targeted by the one imaging data is a normal vehicle. Then, the vehicle type category search unit 116 refers to the information on the vehicle length (mm), the vehicle width (mm), and the vehicle height (mm) stored in the measurement data storage unit 123, and searches for the same time zone search unit. Based on the dimensions indicated by the vehicle length (mm), vehicle width (mm), and vehicle height (mm) information from one or a plurality of measurement data identified by the measurement data ID sent from 115. Then, the measurement data for a vehicle having the same vehicle type classification as the vehicle type classification of the vehicle targeted by the one imaging data is searched. As a result, when one measurement data including information on the vehicle of the same vehicle type division is searched (S406: Yes → S407: Yes), the vehicle type division search unit 116 includes the measurement data ID of the one measurement data, The imaging data ID of the one imaging data is sent to the data association unit 121.

  When the data linking unit 121 of the vehicle data processing apparatus 110 receives the data sent from the same vehicle type category search unit 116, the one measurement data searched by the same vehicle type category search unit 116 is linked to one imaging data ( S408). More specifically, the data association unit 121 associates the measurement data ID sent from the vehicle type category search unit 116 with the imaging data storage unit in association with the imaging data ID sent from the vehicle type category search unit 116. 122. Similarly, the data association unit 121 stores the imaging data ID sent from the vehicle type category search unit 116 in the measurement data storage unit 123 in association with the measurement data ID sent from the vehicle type category search unit 116. .

  In this way, the vehicle data processing device 110 matches the position captured by the camera 130 with the position measured by the laser scanner 170, and the time zone captured by the camera 130 and the measurement by the laser scanner 170. One imaging data including information related to a vehicle having a matching vehicle type classification is associated with one measurement data.

  On the other hand, in the above step S405, when a plurality of measurement data including information on the vehicle of the same vehicle type division is searched (S406: Yes → S407: No), the vehicle type division search unit 116 sets the plurality of measurement data. The measurement data ID and the imaging data ID of the one imaging data are sent to the vehicle speed evaluation unit 117, the time zone evaluation unit 118, and the position evaluation unit 119.

  When the vehicle speed evaluation unit 117 of the vehicle data processing apparatus 110 receives the data sent from the vehicle type category search unit 116, the vehicle speed of the vehicle targeted by each of the plurality of measurement data searched by the vehicle type category search unit 116 The degree of coincidence with the vehicle speed of the target vehicle of one imaging data is evaluated (S409). More specifically, the vehicle speed evaluation unit 117 performs one imaging associated with the imaging data ID sent from the vehicle type category search unit 116 from the information stored in the imaging data storage unit 122. The information of the vehicle speed (km / h) of data is read. Further, the vehicle speed evaluation unit 117 selects the vehicle speed (km) of each measurement data associated with each measurement data ID sent from the same vehicle type category search unit 116 from the information stored in the measurement data storage unit 123. / H). Then, the vehicle speed evaluation unit 117 evaluates the degree of coincidence between the vehicle speed (km / h) information value of the one imaged data and the vehicle speed (km / h) information value of each measurement data. For example, the vehicle speed evaluation unit 117 uses the vehicle speed (km / h) information value as a median value, and assumes a normal distribution with respect to the vehicle speed measurement value. Evaluate as Then, the vehicle speed evaluation unit 117 obtains the imaging data ID of the one imaging data, the measurement data IDs of the plurality of measurement data searched by the vehicle type category search unit 116, and the evaluation result of the degree of matching of the vehicle speed. The data is sent to the data association unit 121.

  When the time zone evaluation unit 118 of the vehicle data processing apparatus 110 receives the data sent from the same vehicle type category search unit 116, the vehicle targeted by each of the plurality of measurement data searched by the same vehicle type category search unit 116 is measured. The degree of coincidence between the obtained time zone and the time zone during which the target vehicle of the one imaging data is imaged is evaluated (S410). More specifically, the time zone evaluation unit 118 is one of the information stored in the imaging data storage unit 122 and associated with the imaging data ID sent from the vehicle type category search unit 116. Each information of the first imaging time (year / month / day / hour: minute: second) and last imaging time (year / month / day / hour: minute: second) of the imaging data is read out. In addition, the time zone evaluation unit 118 starts measurement of each measurement data associated with each measurement data ID sent from the same vehicle type category search unit 116 from the information stored in the measurement data storage unit 123. Each information of time (year / month / day / hour: minute: second) and measurement end time (year / month / day / hour: minute: second) is read. Then, the time zone evaluation unit 118 determines the last imaging time (year / month / day) from the time indicated by the information of the first imaging time (year / month / day / hour: minute: second) of the one imaging data. Measurement ends from the time indicated by the date / time: minute: second) time and the time indicated by the measurement start time (year / month / day / hour: minute: second) of each measurement data. The degree to which the time zone up to the time indicated by the time (year / month / day / hour: minute: second) information matches is evaluated. Then, the time zone evaluation unit 118, the imaging data ID of the one imaging data, the measurement data IDs of the plurality of measurement data searched by the vehicle type category search unit 116, and the evaluation result of the degree of time zone matching Is sent to the data association unit 121.

  When the position evaluation unit 119 of the vehicle data processing apparatus 110 receives the data sent from the vehicle type category search unit 116, the vehicle targeted for each of the plurality of measurement data searched by the vehicle type category search unit 116 is measured. The degree to which the detected position and the position where the target vehicle of one image data is imaged is evaluated (S411). More specifically, the position evaluation unit 119 is a single imaging unit associated with the imaging data ID sent from the same vehicle type category search unit 116 from the information stored in the imaging data storage unit 122. Read the camera ID information of the data. In addition, the position evaluation unit 119 selects the detection position of each measurement data associated with each measurement data ID sent from the same vehicle type category search unit 116 from the information stored in the measurement data storage unit 123. Read information. The position evaluation unit 119 evaluates the degree to which the imaging range of the camera 130 identified by the camera ID information of the one imaging data matches the position indicated by the detection position information of each measurement data. . Then, the position evaluation unit 119 obtains the imaging data ID of the one imaging data, the measurement data IDs of the plurality of measurement data searched by the vehicle type category search unit 116, and the evaluation result of the degree of matching of the positions. The data is sent to the data association unit 121.

  When the data association unit 121 receives the data sent from the vehicle speed evaluation unit 117, the time zone evaluation unit 118, and the position evaluation unit 119, the vehicle speed evaluation unit out of the plurality of measurement data searched by the vehicle type category search unit 116 117. One measurement data for a vehicle with a high degree of coincidence, a time zone, and a position evaluated by the time zone evaluation unit 118 and the position evaluation unit 119 is linked to one imaging data (S408). .

  In this way, the vehicle data processing device 110 matches the position captured by the camera 130 with the position measured by the laser scanner 170, and the time zone captured by the camera 130 and the measurement by the laser scanner 170. It is not possible to narrow down one measurement data including information related to a vehicle that matches the vehicle type classification of the vehicle imaged by the camera 130 from among a plurality of measurement data including information related to a vehicle that matches the selected time zone. Also, one measurement data to be associated with one imaging data is specified based on the degree of coincidence of the vehicle speed of the vehicle, the time zone when the vehicle is detected, and the position where the vehicle is detected.

  On the other hand, when the measurement data including the vehicle information measured at the same position is not searched in the above step S402 (S402: No), the same position search unit 114 takes the imaging data ID of the one imaging data. Is sent to the time determination unit 120. Further, in the above-described step S403, when measurement data including vehicle information measured in the same time zone is not searched (S404: No), the same time zone search unit 115 captures the one piece of imaging data. The data ID is sent to the time determination unit 120. Further, in the above-described step S405, when measurement data including vehicle information of the same vehicle type division is not searched (S406: No), the vehicle type division search unit 116 sets the imaging data ID of the one imaging data. To the time determination unit 120.

  When the time determination unit 120 of the vehicle data processing apparatus 110 receives the imaging data ID sent from the same time zone search unit 115 or the same vehicle type division search unit 116, the measurement start time of the vehicle being measured by the laser scanner 170 is determined. Then, it is determined whether or not it is a time before the time when the target vehicle of the one imaging data is last imaged (S412). More specifically, as described above, the time determination unit 120 receives the measured time data transmitted from the measured time data receiving unit at predetermined time intervals, for example. When the time determination unit 120 receives the imaging data ID sent from the same time zone search unit 115 or the same vehicle type division search unit 116, the time determination unit 120 captures the imaging from the information stored in the imaging data storage unit 122. Information of the last imaging time (year / month / day / hour: minute: second) associated with the data ID is read. The time determination unit 120 then determines that the time indicated by the last received measurement time data is a time before the time indicated by the last imaging time (year / month / day / hour: minute: second) information. It is determined whether or not. Then, the time determination unit 120 sends the determination result to the data association unit 121.

  The data association unit 121 sets the determination result that the measurement start time of the vehicle being measured by the laser scanner 170 is a time before the time when the target vehicle of the one imaging data is last imaged. If it is received from the determination unit 120 (S412: Yes), the link of the measurement data to the one imaging data is suspended. On the other hand, the data association unit determines that the measurement start time of the vehicle being measured by the laser scanner 170 is not earlier than the time when the target vehicle of the one imaging data is last imaged. When it is received from the time determination unit 120 (S412: No), it is assumed that the measurement data is associated with the one imaging data without association with the measurement data (S408).

  In this way, the vehicle data processing device 110, when the measurement data associated with one imaging data is not searched, the time before the time when the vehicle targeted by the one imaging data was last imaged When there is a vehicle that is still being measured at the time when the laser scanner 170 starts measurement, there is a possibility that measurement data including information related to the vehicle may be linked to one imaging data. Suspend the linking of measurement data to. In addition, when the measurement data associated with one imaging data is not searched, the vehicle data processing device 110 is at a time before the time when the vehicle targeted by the one imaging data is last imaged. When the laser scanner 170 starts measurement and there is no vehicle that is still being measured, there is a possibility that the one imaging data has failed to measure the target vehicle, so the measurement data is added to the one imaging data. It is assumed that the measurement data is associated with the one imaging data without association.

  As described above, the plurality of cameras 130 are provided side by side in the width direction above the road R, and image the obliquely lower portion over time. The laser scanner 170 is provided so as to scan the width direction of the road R in the imaging ranges Aa to c of the camera 130 and measures the dimensions of the vehicle passing through the scanning range L. And the vehicle data processing apparatus 110 links | couples one measurement data including the same information as the information of the vehicle imaged with the camera 130 among the some measurement data to one imaging data including the information of the vehicle.

  In this way, depending on the vehicle data processing system 100, not only can an unauthorized vehicle be identified more reliably, but the use of a specific road can be determined based on the size of the vehicle that is actually traveling. The charge amount can be determined.

  Further, as described above, the vehicle data processing device 110 searches the measurement data for measurement data including information on vehicles in the same vehicle type classification as the vehicle type classification of the target vehicle of one imaging data. When the vehicle data processing apparatus 110 searches for one measurement data, the vehicle data processing apparatus 110 associates the one measurement data with one imaging data.

  In this way, depending on the vehicle data processing system 100, it is possible to link one piece of imaging data and one piece of measurement data targeting vehicles of the same vehicle type classification.

  Further, as described above, the vehicle data processing apparatus 110 obtains measurement data including vehicle information measured in the same time zone as the time zone when the target vehicle of one imaging data was imaged from the measurement data. Search for. Then, the vehicle data processing device 110 retrieves measurement data including information on vehicles in the same vehicle type classification as the vehicle type classification of the target vehicle of one imaging data from the searched measurement data.

  In this way, depending on the vehicle data processing system 100, it is possible to link one piece of imaging data and one piece of measurement data that are detected in the same time zone and target vehicles of the same vehicle type.

  Further, as described above, the vehicle data processing device 110 searches the measurement data for measurement data including vehicle information measured at the same position as the imaging position of the target vehicle of the one imaging data. And the vehicle data processing apparatus 110 searches the measurement data containing the information of the vehicle measured in the same time slot | zone as the time slot | zone when the target vehicle of one imaging data was imaged from the searched measurement data.

  In this way, depending on the vehicle data processing system 100, it is possible to link one piece of imaging data and one piece of measurement data, which are detected at the same position and in the same time zone, and target vehicles of the same vehicle type classification. it can.

  In addition, as described above, when the vehicle data processing device 110 retrieves a plurality of measurement data including information on vehicles in the same vehicle type classification as the vehicle classification of the target vehicle of one imaging data, the plurality of measurement data Is evaluated for the degree of coincidence between the vehicle speed of the target vehicle and the vehicle speed of the target vehicle of one image data. And the vehicle data processing apparatus 110 links | couples the one measurement data which is targeting the vehicle of the vehicle speed of the evaluated high degree of coincidence among several measurement data with one imaging data.

  In this way, depending on the vehicle data processing system 100, the vehicle speeds match when it is not possible to narrow down one measurement data for a vehicle in the same vehicle type classification as that of the target vehicle of one imaging data. It is possible to link one image data including vehicle information with a high degree and one measurement data.

  In addition, as described above, when the vehicle data processing device 110 retrieves a plurality of measurement data including information on vehicles in the same vehicle type classification as the vehicle classification of the target vehicle of one imaging data, the plurality of measurement data Are evaluated for the degree of coincidence between the time zone in which the target vehicle is measured and the time zone in which the target vehicle of one imaging data is imaged. And the vehicle data processing apparatus 110 links | couples the one measurement data which made the object the vehicle measured in the time slot | zone with the high degree of coincidence evaluated among several measurement data with one imaging data.

  In this way, depending on the vehicle data processing system 100, the time detected when it is not possible to narrow down one measurement data for a vehicle of the same vehicle type classification as that of the target vehicle of the one imaging data. One imaging data including information on a vehicle having a high degree of coincidence of bands can be associated with one measurement data.

  In addition, as described above, when the vehicle data processing device 110 retrieves a plurality of measurement data including information on vehicles in the same vehicle type classification as the vehicle classification of the target vehicle of one imaging data, the plurality of measurement data The degree to which the position at which the target vehicle is measured and the position at which the target vehicle of one imaging data is imaged is evaluated. And the vehicle data processing apparatus 110 links | couples one measurement data which makes the object the vehicle measured in the highly evaluated position evaluated among the some measurement data with one imaging data.

  In this way, depending on the vehicle data processing system 100, the position detected when it is not possible to narrow down one measurement data for a vehicle of the same vehicle type classification as the vehicle type classification of the target vehicle of the one imaging data. It is possible to link one image data including vehicle information having a high degree of coincidence with one measurement data.

  Further, as described above, the vehicle data processing apparatus 110 starts measurement of the vehicle being measured by the laser scanner 170 when the measurement data including the same information as the vehicle information of the one imaging data is not retrieved. It is determined whether or not the time is a time before the time when the target vehicle of the one image data is imaged last. And the vehicle data processing apparatus 110 suspends measurement data associating with the one imaged data if the time is before the time when the target vehicle of the one imaged data was last imaged.

  In this way, depending on the vehicle data processing system 100, when the target vehicle of one imaging data is still being measured and there is no measurement data to be associated with the one imaging data, the one imaging data Measurement data can be linked later.

  Further, as described above, when the measurement data including the same information as the target vehicle information of one imaging data is not retrieved, the measurement start time of the vehicle being measured by the laser scanner 170 is one imaging data. It is determined whether or not it is a time before the time when the target vehicle was last imaged. When the vehicle data processing device 110 is not before the time when the target vehicle of the one image data was last imaged, the vehicle data processing device 110 does not associate the measurement data with the one image data. It is assumed that measurement data is associated with one piece of imaging data.

  In this way, depending on the vehicle data processing system 100, when measurement of a target vehicle of one imaging data is failed, the measurement data is not linked to the one imaging data without actually linking the measurement data. It can be treated as attached.

  FIG. 13 shows an example of a hardware configuration of a computer 800 constituting the vehicle data processing apparatus 110 according to this embodiment. A computer 800 according to the present embodiment includes a CPU peripheral unit having a CPU (Central Processing Unit) 802, a RAM (Random Access Memory) 803, a graphic controller 804, and a display 805, and an input / output unit connected to each other by a host controller 801. An input / output unit having a communication interface 807, a hard disk drive 808, and a CD-ROM (Compact Disk Read Only Memory) drive 809 connected to each other by a controller 806, and a ROM (Read Only Memory) connected to the input / output controller 806 810, a flexible disk drive 811 and a legacy input / output unit having an input / output chip 812. Obtain.

  The host controller 801 connects the RAM 803, the CPU 802 that accesses the RAM 803 at a high transfer rate, and the graphic controller 804. The CPU 802 operates based on programs stored in the ROM 810 and the RAM 803 and controls each unit. The graphic controller 804 acquires image data generated on a frame buffer provided in the RAM 803 by the CPU 802 and the like and displays the image data on the display 805. Instead of this, the graphic controller 804 may include a frame buffer for storing image data generated by the CPU 802 or the like.

  The input / output controller 806 connects the host controller 801 to the communication interface 807, the hard disk drive 808, and the CD-ROM drive 809, which are relatively high-speed input / output devices. The hard disk drive 808 stores programs and data used by the CPU 802 in the computer 800. The CD-ROM drive 809 reads a program or data from the CD-ROM 892 and provides it to the hard disk drive 808 via the RAM 803.

  In addition, the input / output controller 806 is connected to the ROM 810, the flexible disk drive 811, and the relatively low-speed input / output device of the input / output chip 812. The ROM 810 stores a boot program that is executed when the computer 800 is started and / or a program that depends on the hardware of the computer 800. The flexible disk drive 811 reads a program or data from the flexible disk 893 and provides it to the hard disk drive 808 via the RAM 803. The input / output chip 812 connects the flexible disk drive 811 to the input / output controller 806 and connects various input / output devices to the input / output controller 806 via, for example, a parallel port, serial port, keyboard port, mouse port, and the like. To do.

  A program provided to the hard disk drive 808 via the RAM 803 is stored in a recording medium such as a flexible disk 893, a CD-ROM 892, or an IC (Integrated Circuit) card and provided by the user. The program is read from the recording medium, installed in the hard disk drive 808 in the computer 800 via the RAM 803, and executed by the CPU 802.

  A program that is installed in the computer 800 and causes the computer 800 to function as the vehicle data processing device 110 includes one information that includes the same information as the vehicle information captured by the camera 130 among the plurality of measurement data in step S408. The measurement data is made to function as the data association unit 121 that associates the measurement data with one piece of imaging data including the vehicle information.

  Further, in step S405, the program searches the vehicle 800 for measurement data including information on vehicles having the same vehicle type as the vehicle type of the target vehicle of the one imaging data. When the vehicle type division search unit 116 searches the unit 116 and the one measurement data, the one measurement data may function as the data association unit 121 that associates the one measurement data with one imaging data in step S408.

  Further, the program causes the computer 800 to acquire measurement data including vehicle information measured in the same time zone as the time zone in which the target vehicle of one imaging data was imaged from the measurement data in step S403. In step S405, the same time zone search unit 115 to be searched and the measurement data searched by the same time zone search unit 115 include information on vehicles in the same vehicle type category as the vehicle type category of the target vehicle of one imaging data. You may make it function as the same vehicle classification division search part 116 which searches measurement data.

  Further, the program searches the computer 800 for measurement data including vehicle information measured at the same position as the imaging position of the target vehicle of one imaging data from the measurement data in step S401. From the search unit 114 and the measurement data searched by the same position search unit 114, the information of the vehicle measured in the same time zone as the time zone in which the target vehicle of one imaging data was imaged in step S403 is included. You may make it function as the same time slot | zone search part 115 which searches measurement data.

  Further, when the vehicle type classification search unit 116 searches the computer 800 for a plurality of measurement data, the program reads the vehicle speed of the vehicle targeted by each of the plurality of measurement data and one imaging in step S409. A vehicle speed evaluation unit 117 that evaluates the degree of coincidence with the vehicle speed of the vehicle that is the target of data, and a vehicle speed that has a high degree of coincidence evaluated by the vehicle speed evaluation unit 117 among the plurality of measurement data retrieved by the vehicle type category retrieval unit 116 In step S408, one piece of measurement data targeting the vehicle may be made to function as the data association unit 121 associated with one piece of imaging data.

  Furthermore, when the vehicle type classification search unit 116 searches the computer 800 for a plurality of measurement data, the program includes the time zone when the vehicles targeted by the plurality of measurement data are measured in step S410. , A time zone evaluation unit 118 that evaluates the degree of coincidence with the time zone when the target vehicle of one imaging data is imaged, and a time zone evaluation unit among a plurality of measurement data searched by the vehicle type category search unit 116 One measurement data for a vehicle measured in a time zone with a high degree of coincidence evaluated by 118 may function as the data association unit 121 associated with one imaging data in step S408.

  Further, when the vehicle type classification search unit 116 searches the computer 800 for a plurality of measurement data, the program stores the position at which the vehicle targeted by each of the plurality of measurement data is measured in step S411. The position evaluation unit 119 that evaluates the degree of coincidence with the position where the target vehicle of one imaged data is imaged, and the position evaluation unit 119 evaluated among the plurality of measurement data searched by the vehicle type category search unit 116. One measurement data targeting a vehicle measured at a position with a high degree of coincidence may function as the data association unit 121 associated with one imaging data in step S408.

  Further, as a result of the computer 800 and the vehicle type category search unit 116 or the same time zone search unit 115 searching for the measurement data, the program stores measurement data including the same information as the target vehicle information of one imaging data. If no search is made, in step S412, whether or not the measurement start time of the vehicle being measured by the laser scanner 170 is a time before the time when the target vehicle of the one imaging data was last imaged. When the time determination unit 120 determines that the measurement start time is a time before the time at which the target vehicle of one imaging data was last imaged, that one imaging You may make it function as the data correlation part 121 which suspends link | linkage of the measurement data with respect to data.

  Further, in the case where the time determination unit 120 determines that the measurement start time is not a time before the time at which the target vehicle of one piece of imaging data was last imaged, the program determines that the program 800 in step S408. Instead of linking the measurement data to the one image data, the one image data may function as the data linking unit 121 that associates the measurement data.

  The information processing described in these programs is read by the computer 800, whereby the imaging data receiving unit 111, the measurement data receiving unit 112, which are specific means in which the software and the various hardware resources described above cooperate with each other, Measurement time data receiving unit 113, same position search unit 114, same time zone search unit 115, same vehicle type category search unit 116, vehicle speed evaluation unit 117, time zone evaluation unit 118, position evaluation unit 119, time determination unit 120, data It functions as an associating unit 121, an imaging data storage unit 122, and a measurement data storage unit 123. And the specific vehicle data processing apparatus 110 according to the intended use is constructed | assembled by implement | achieving the calculation of the information according to the intended use of the computer 800 in this embodiment, or a process by these specific means.

  As an example, when communication is performed between the computer 800 and an external device or the like, the CPU 802 executes a communication program loaded on the RAM 803 and executes a communication interface based on the processing content described in the communication program. A communication process is instructed to 807. Under the control of the CPU 802, the communication interface 807 reads transmission data stored in a transmission buffer area or the like provided on a storage device such as the RAM 803, the hard disk drive 808, the flexible disk 893, or the CD-ROM 892, and sends it to the network. The reception data transmitted or received from the network is written into a reception buffer area or the like provided on the storage device. As described above, the communication interface 807 may transfer transmission / reception data to / from the storage device by the direct memory access method. Instead, the CPU 802 reads data from the transfer source storage device or the communication interface 807. The transmission / reception data may be transferred by writing the data to the transfer destination communication interface 807 or the storage device.

  In addition, the CPU 802 transfers all or a necessary part of the files or databases stored in the external storage device such as the hard disk drive 808, CD-ROM 892, and flexible disk 893 to the RAM 803 by direct memory access transfer or the like. The data is read and various processes are performed on the data on the RAM 803. Then, the CPU 802 writes the processed data back to the external storage device by direct memory access transfer or the like.

  In such processing, since the RAM 803 can be regarded as temporarily holding the contents of the external storage device, in the present embodiment, the RAM 803 and the external storage device are collectively referred to as a memory, a storage unit, or a storage device. . Various types of information such as various programs, data, tables, and databases in the present embodiment are stored on such a storage device and are subjected to information processing. In addition, the CPU 802 can hold a part of the RAM 803 in the cache memory and perform reading and writing on the cache memory. Even in such a form, the cache memory bears a part of the function of the RAM 803. Therefore, in the present embodiment, the cache memory is also included in the RAM 803, the memory, and / or the storage device unless otherwise indicated. To do.

  In addition, the CPU 802 performs various operations, such as various operations, information processing, condition determination, information retrieval, replacement, and the like described in the present embodiment for data read from the RAM 803 and specified by a command sequence of the program. Is written back to the RAM 803. For example, when performing the condition determination, the CPU 802 satisfies the conditions such that the various variables shown in the present embodiment are larger, smaller, above, below, or equal to other variables or constants. If the condition is satisfied or not satisfied, the program branches to a different instruction sequence or calls a subroutine.

  In addition, the CPU 802 can search for information stored in a file in a storage device, a database, or the like. For example, when a plurality of entries in which the attribute value of the second attribute is associated with the attribute value of the first attribute are stored in the storage device, the CPU 802 stores the plurality of entries stored in the storage device. The entry that matches the condition in which the attribute value of the first attribute is specified is retrieved, and the attribute value of the second attribute that is stored in the entry is read, thereby associating with the first attribute that satisfies the predetermined condition The attribute value of the specified second attribute can be obtained.

  The program or module described above may be stored in an external storage medium. As a storage medium, in addition to a flexible disk 893 and a CD-ROM 892, an optical recording medium such as a DVD (Digital Versatile Disk) or a CD (Compact Disk), a magneto-optical recording medium such as an MO (Magneto-Optical disk), or a tape A medium, a semiconductor memory such as an IC card, or the like can be used. Further, a storage medium such as a hard disk or RAM provided in a server system connected to a dedicated communication network or the Internet may be used as a recording medium, and the program may be provided to the computer 800 via the network.

  As mentioned above, although this invention was demonstrated using embodiment, the technical scope of this invention is not limited to the range as described in the said embodiment. It will be apparent to those skilled in the art that various changes or improvements can be added to the above-described embodiment. It is apparent from the scope of the claims that the embodiments added with such changes or improvements can also be included in the technical scope of the present invention.

  The execution order of each process such as operations, procedures, steps, and stages in the system, method, apparatus, program, and recording medium shown in the claims, the description, and the drawings is particularly “before”. It should be noted that “preceding” or the like is not specified, and that the output of the previous process can be realized in any order unless it is used in the subsequent process. Regarding the operation flow in the claims, the specification, and the drawings, even if it is described using “first”, “next”, etc. for the sake of convenience, it means that it is essential to carry out in this order. It is not a thing.

100 Vehicle Data Processing System 110 Vehicle Data Processing Device 111 Imaging Data Receiving Unit 112 Measurement Data Receiving Unit 113 Measurement Time Data Receiving Unit 114 Same Position Searching Unit 115 Same Time Zone Searching Unit 116 Same Vehicle Type Classification Searching Unit 117 Vehicle Speed Evaluation Unit 118 Time Band evaluation unit 119 Position evaluation unit 120 Time determination unit 121 Data association unit 122 Imaging data storage unit 123 Measurement data storage unit 130 Camera 150 Imaging data generation device 170 Laser scanner 190 Measurement data generation device 800 Computer 801 Host controller 802 CPU
803 RAM
804 Graphic controller 805 Display 806 Input / output controller 807 Communication interface 808 Hard disk drive 809 CD-ROM drive 810 ROM
811 Flexible disk drive 812 I / O chip 891 Network communication device 892 CD-ROM
893 Flexible disk Aa Imaging range Ab of the camera 130a Imaging range of the camera 130b Ac Imaging range of the camera 130c Ga Gate Gb Gate R Road Ra Lane Rb Lane Rc Lane

Claims (13)

A vehicle data processing system for processing data relating to a vehicle traveling on a road,
A plurality of imaging devices that are arranged side by side in the width direction above the road and image the obliquely lower portion over time;
A measuring device that is provided so as to scan the width direction of the road in the imaging range of the imaging device and measures the dimensions of the vehicle passing through the scanning range;
A vehicle data processing device for processing data relating to a vehicle traveling on the road,
The vehicle data processing device includes:
Among a plurality of measurement data including vehicle information measured by the measurement device, one measurement data including the same information as the vehicle information imaged by the imaging device is taken for the vehicle imaged by the imaging device. A vehicle data processing system having a data linking unit for linking to one imaged data including information. The vehicle data processing device includes:
Among the measurement data including the vehicle information measured by the measurement device, the vehicle information of the same vehicle type classification as the vehicle classification of the target vehicle of one imaging data including the vehicle information imaged by the imaging device is obtained. The vehicle type classification search unit for searching measurement data including
The vehicle data processing system according to claim 1, wherein the data association unit associates the one measurement data with the one imaging data when the same vehicle type division retrieval unit retrieves one measurement data. The vehicle data processing device includes:
Measured in the same time zone as the time zone when the target vehicle of one imaging data including the vehicle information imaged by the imaging device is captured from the measurement data including the vehicle information measured by the measuring device And a same time zone search unit for searching measurement data including information on the vehicle that has been
The same vehicle type division search unit searches the measurement data searched by the same time zone search unit for measurement data including information on vehicles in the same vehicle type division as the vehicle type division of the target vehicle of the one imaging data. The vehicle data processing system according to claim 2. The vehicle data processing device includes:
Of the measurement data including the vehicle information measured by the measurement device, the vehicle measured at the same position as the imaging position of the target vehicle of one imaging data including the vehicle information imaged by the imaging device. A co-location search unit for searching measurement data including information;
The same time zone search unit includes information on vehicles measured in the same time zone as the time zone in which the target vehicle of the one imaging data is imaged from the measurement data searched by the same position search unit. The vehicle data processing system according to claim 3, wherein measurement data is searched. The vehicle data processing device includes:
When the vehicle type classification search unit searches a plurality of measurement data, the degree of coincidence between the vehicle speed of the vehicle targeted by each of the plurality of measurement data and the vehicle speed of the target vehicle of the one imaging data A vehicle speed evaluation unit to evaluate,
The data linking unit is configured to obtain, from the plurality of measurement data searched by the vehicle type category search unit, one measurement data targeting a vehicle having a high degree of coincidence evaluated by the vehicle speed evaluation unit. The vehicle data processing system according to any one of claims 2 to 4, wherein the vehicle data processing system is associated with the imaging data. The vehicle data processing device includes:
When the vehicle type division search unit searches a plurality of measurement data, the time zone when the vehicles targeted by the plurality of measurement data are measured and the target vehicle of the one imaging data are captured. A time zone evaluation unit for evaluating the degree of coincidence with the time zone;
The data linking unit is a measurement that targets a vehicle measured in a time zone with a high degree of coincidence evaluated by the time zone evaluation unit among a plurality of measurement data searched by the vehicle type category search unit. The vehicle data processing system according to any one of claims 2 to 5, wherein data is associated with the one imaging data. The vehicle data processing device includes:
When the vehicle type division search unit searches a plurality of measurement data, the position where the vehicle targeted by each of the plurality of measurement data is measured, and the position where the target vehicle of the one imaging data is imaged And a position evaluation unit for evaluating the degree of coincidence with
The data linking unit includes one measurement data targeting a vehicle measured at a highly consistent position evaluated by the position evaluation unit among a plurality of measurement data searched by the vehicle type division search unit. The vehicle data processing system according to claim 2, wherein the vehicle data processing system is associated with the one imaging data. The vehicle data processing device includes:
As a result of the measurement data being searched by the same vehicle type category search unit or the same time zone search unit, if the measurement data including the same information as the vehicle information of the one imaging data is not searched, the measurement A time determination unit that determines whether or not the measurement start time of the vehicle being measured by the device is a time before the time when the target vehicle of the one imaging data was last imaged;
When the time determination unit determines that the measurement start time is a time before the time when the target vehicle of the one imaging data is last imaged, the data association unit The vehicle data processing system according to claim 3 or 4, wherein the association of the measurement data with respect to is suspended. When the time determination unit determines that the measurement start time is not a time before the time at which the target vehicle of the one imaging data was last imaged, the data association unit The vehicle data processing system according to claim 8, wherein the measurement data is associated with the one imaging data without associating the measurement data. A vehicle data processing method for processing data relating to a vehicle traveling on a road,
A vehicle that is provided side by side in the width direction above the road and that scans the width direction of the road in the imaging range of a plurality of imaging devices that image obliquely below the road over time, and passes through the scanning range. Among a plurality of measurement data including vehicle information measured by a measurement device that measures dimensions, one measurement data including the same information as the vehicle imaged by the imaging device is taken for the vehicle imaged by the imaging device. A vehicle data processing method comprising: a data linking step for linking to one imaging data including information. A vehicle data processing device for processing data relating to a vehicle traveling on a road,
A vehicle that is provided side by side in the width direction above the road and that scans the width direction of the road in the imaging range of a plurality of imaging devices that image obliquely below the road over time, and passes through the scanning range. Among a plurality of measurement data including vehicle information measured by a measurement device that measures dimensions, one measurement data including the same information as the vehicle imaged by the imaging device is taken for the vehicle imaged by the imaging device. A vehicle data processing device comprising a data linking unit for linking to one imaged data including information. A program that causes a computer to function as a vehicle data processing device that processes data relating to a vehicle traveling on a road,
The computer,
A vehicle that is provided side by side in the width direction above the road and that scans the width direction of the road in the imaging range of a plurality of imaging devices that image obliquely below the road over time, and passes through the scanning range. Among a plurality of measurement data including vehicle information measured by a measurement device that measures dimensions, one measurement data including the same information as the vehicle imaged by the imaging device is taken for the vehicle imaged by the imaging device. A program that functions as a data linking unit for linking to one imaged data including information. As a vehicle data processing device for processing data relating to a vehicle traveling on a road, a recording medium recording a program that causes a computer to function,
The computer,
A vehicle that is provided side by side in the width direction above the road and that scans the width direction of the road in the imaging range of a plurality of imaging devices that image obliquely below the road over time, and passes through the scanning range. Among a plurality of measurement data including vehicle information measured by a measurement device that measures dimensions, one measurement data including the same information as the vehicle imaged by the imaging device is taken for the vehicle imaged by the imaging device. A recording medium that records a program that functions as a data linking unit linked to one piece of imaging data including information.

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