CN108286973A - A kind of running data method of calibration and device and hybrid navigation system - Google Patents

Abstract

The present invention provides a driving data verification method and system, comprising: acquiring road geographic data and user location data; judging whether the user location data is valid according to the road geographic data and the user location data; if the user location data is Effectively, calculating the confidence degree of the user location data; marking the user location data on the electronic map with the user location data whose confidence degree satisfies the threshold requirement. By using the above method and system, the calculation efficiency can be effectively improved, and the real-time data processing ability is strong, the user position data with deviation can be accurately judged, and the wrong data can be effectively identified.

Description

A driving data verification method and device, and a hybrid navigation system

Technical field:

The invention relates to the technical field of electronic maps, in particular to a method and device for checking driving data.

Background technique:

With the rapid development of computer and Internet technology, more and more new technologies are applied to people's lives. Among them, the auxiliary navigation function for car driving is one of the very important technical application fields.

At present, people will turn on the terminal device for navigation during driving, so as to ensure the correct driving route and to control the road ahead in advance. When realizing the above-mentioned technical effect, it is necessary to determine the actual data of the road and the actual data of the user's driving respectively, compare and calculate the two, and determine the specific driving road where the user is on.

But the inventor of the present invention finds that: in reality, due to the problem of GPS technology itself (the redundant interval of GPS position data is about 10 meters, that is, the user can only be positioned in the area area of +10 and -10), Or due to the interference of the surrounding environment or poor signal, there is a certain deviation in the identification of the user's position by the navigation device or software. These deviations will affect the correct judgment of the navigation system on the user's driving position or route, thereby affecting the planning of the route, and even affect the driving safety of the user.

Therefore, how to provide a method or device that can solve the positioning deviation so as to correctly identify the user's driving track and road is a problem to be solved in the present invention.

Invention content:

In view of this, the present invention provides a driving data verification method and system, which can effectively identify the user's driving track and road, and prevent the influence of wrong location data on the user's driving and navigation.

Among them, a driving data verification method disclosed in the present invention includes:

Obtain road geographic data and user location data;

judging whether the user location data is valid according to the road geographic data and the user location data;

If the user location data is valid, calculate the confidence of the user location data;

According to the user location data whose confidence meets the threshold requirement, the user's location is marked on the electronic map.

Optionally, the judging whether the user location data is valid according to the road geographic data and the user location data includes:

Calculate the user's position movement value within the unit time interval according to the road geographic data value and the user position data;

Comparing the current position movement value with the position movement value of the previous time interval, and judging whether it exceeds the displacement threshold;

If the displacement threshold is exceeded, the user location data is considered invalid.

Optionally, the judging whether the user location data is valid according to the road geographic data and the user location data includes:

Searching for road geographic data within a threshold range according to the user location data;

Judging that if no matching road geographic data is found, the user location data is considered invalid.

Optionally, also include:

Judging that if matching road geographic data is found, calculate the displacement direction of the user in unit time according to the current user location data and the user location data of the previous time interval;

Comparing the displacement direction with the road information corresponding to the matched road geographic data, and judging whether it conforms to the traffic direction of the matching road;

If it is determined that they do not match, the current user location data is considered invalid.

Optionally, also include:

If invalid, the user location data is discarded, and the user's last valid location is used to mark the user's location.

Optionally, also include:

Archiving the user location data after the user location data is deemed valid.

A driving data matching system, comprising:

The matching manager is used to obtain road geographic data and user location data; it is used to mark the user's location on the electronic map with the user location data whose confidence meets the threshold requirement;

a filter for judging whether the user location data is valid according to the road geographic data and the user location data;

A matcher, for if the user location data is valid, send the user location data to a confidence calculator to calculate the confidence, compare the confidence with a confidence threshold; feed back the comparison result to the matching manager ;

a confidence calculator, used to calculate the confidence of the user location data;

The state machine is used for displaying to the user according to the electronic map marked with the user's location by the matching manager.

Filter matcher Filter matcher 8. The system according to claim 7, wherein the filter filter comprises:

Calculate the user's position movement value within the unit time interval according to the road geographic data value and the user position data;

Comparing the current position movement value with the position movement value of the previous time interval, and judging whether it exceeds the displacement threshold;

If the displacement threshold is exceeded, the user location data is considered invalid.

Optionally, the filter filter includes:

Searching for road geographic data within a threshold range according to the user location data;

Judging that if no matching road geographic data is found, the user location data is considered invalid.

Optionally, the filter further includes:

Judging that if matching road geographic data is found, calculate the displacement direction of the user in unit time according to the current user location data and the user location data of the previous time interval;

Comparing the displacement direction with the road information corresponding to the matched road geographic data, and judging whether it conforms to the traffic direction of the matching road;

If it is determined that they do not match, the current user location data is considered invalid.

By using the above method and system, the calculation efficiency can be effectively improved, and the real-time data processing ability is strong, the user position data with deviation can be accurately judged, and the wrong data can be effectively identified.

Description of drawings:

Fig. 1 is a schematic flow chart of a driving data verification method provided by an embodiment of the present invention;

Fig. 2 is a schematic flow chart of a method for verifying driving data in another embodiment of the present invention;

Fig. 3 is a schematic flow chart of a driving data verification method in another embodiment of the present invention;

Fig. 4 is a schematic flow chart of a driving data verification method provided by an embodiment of the present invention;

FIG. 5 is a block diagram of a driving data verification system provided by an embodiment of the present invention;

Fig. 6 is a block diagram of a hybrid navigation system provided by an embodiment of the present invention.

Detailed ways:

Referring to FIG. 1 , this figure is a flow chart of the first implementation of a driving data verification method provided by the present invention.

The methods include:

S10: Obtain road geographic data and user location data.

When implementing the present invention, the user first obtains road geographic data and user location data. Wherein, the road geographic data refers to an electronic coordinate data set corresponding to the geographical location of the actual road. The corresponding road can be clearly marked in the electronic map through this electronic coordinate data set. The user location data is the real-time coordinate location data of the user (generally a data set composed of multiple coordinate data), which can be obtained through relevant hardware or software such as GPS. Through the combination of the above two, the environment where the user is located can be well determined in the electronic map.

S20: Determine whether the user location data is valid according to the road geographic data and the user location data.

Since there will be various interference factors during the driving process of the user, it is necessary to check the user's location data to determine whether it is valid data. If it is judged as invalid data, it should not be adopted by the system.

For example, the judging whether the user location data is valid according to the road geographic data and the user location data may include the following method one:

S201: Calculate the position movement value of the user within the unit time interval according to the road geographic data value and the user position data;

S202: Comparing the current position movement value with the position movement value of the previous time interval, and judging whether it exceeds the displacement threshold;

S203: If it exceeds the displacement threshold, consider the user location data to be invalid data.

Because the user is generally in a relatively stable state when driving, or even if there is a change in the driving state, the range generally does not change very quickly in a short period of time (such as slow acceleration, slow deceleration, uphill or downhill, etc.) ). Therefore, the user's speed value is relatively within a reasonable variation range. And if it suddenly exceeds this interval, it can be considered that there is a deviation in the user's location data.

For example, to calculate the user's position movement value within a unit time interval, you can obtain the two end values of the user in the unit time interval to determine the position, and then calculate the road distance that the user has traveled within the unit time interval as the user's current position movement value.

Then compare the user's location movement value in this time interval with the location movement value of the previous time interval. Here you can set a displacement threshold, or a displacement threshold interval. If it exceeds this displacement threshold interval, it is considered that the user's current location data is incorrect and should be considered as invalid data.

In addition, the judging whether the user location data is valid according to the road geographic data and the user location data can also be method two (see FIG. 3 ):

S211: Find road geographic data within a threshold range according to the user location data;

S212: Judging that if no matching road geographic data is found, the user location data is considered to be invalid data.

Because the user is generally in a relatively stable state when driving, and will not easily deviate from the road he is driving. For GPS user position data with interference, there may be situations such as wrong position and wrong direction. Therefore, the user's location data and direction will be within a reasonable range of change. And if it suddenly exceeds this interval, it can be considered that there is a deviation in the user's location data.

For example, the current location data of the user is obtained first, and then the road geographic data corresponding to the location data is searched, that is, whether the user is on the road is judged. Since there may be a certain normal difference in the user's position, a certain distance area threshold may also be set. For example, assuming that the user's location is (10, 10), you can set the distance area threshold +1 or -1. That is, the road found in the geographic data ([9,11],[9,11]) is the road the user is currently driving. If no matching road data is found, it is considered that the user's current location data is incorrect and should be considered as invalid data.

In addition, after the matching road is found, further based on the obtained user location data and the matched road geographic data, the current user location data and the user location data of the previous time interval can be used to calculate the The user's displacement direction per unit time.

The displacement direction is compared with the road information corresponding to the matched road geographic data, and it is judged whether it conforms to the traveling direction of the matched road.

If it is determined that it does not match, the current user position data is considered to be invalid data.

In the present invention, the above method 1 and method 2 can also be used in combination, so as to better judge whether the user location data is valid.

S30: If the user location data is valid, calculate the confidence of the user location data.

The confidence calculation is set here, which is mainly used to further judge whether the obtained user location data is valid data, so as to avoid wrongly marking the user location.

For the above user data, if the displacement threshold is used for judgment, the distance confidence projection formula can be used for calculation:

Reliability (distance confidence) = 1-Dis/Threshold

Note: 1. Dis refers to the projection distance, that is, the right-angle projection distance between the obtained current location data and the user's driving road.

2. Threshold is the travel distance threshold corresponding to the preset speed.

For example, based on a vehicle speed of 120 km/h, the unit driving distance per second is Threshold, which is 35 meters. If the projection distance is 20 meters, the calculated distance confidence is about 0.43, which is low; if the projection distance is 3 meters, the calculated distance confidence is about 0.92, which is relatively high. In general, the margin for confidence should be 0.8 or higher.

At the same time, it can also judge whether it conforms to the direction of travel, which can be calculated by using the heading confidence projection formula:

Reliability (heading confidence) = 1–sin(a)

Among them, a is the angle between the heading and the road direction

After obtaining the above confidence value, it is judged whether the confidence value meets the threshold requirement. For example, the threshold condition is that all confidence values are required to exceed 0.8, and if the distance confidence is 0.7, the current user location data is considered to have a low confidence value, and the current user location data may not be used.

S40: Mark the user's position on the electronic map according to the user position data whose confidence meets the threshold requirement.

If the obtained user location data is valid and meets the confidence condition, use the user location data to mark the user's location in the electronic map, or form the user's driving route with the previous location data in the electronic map.

In addition, if it is judged that the user location data is invalid after the above calculation, the user location data is discarded, and the user's last valid location is used to mark the user's location.

If the currently obtained user location data is deemed to be invalid, in order to ensure the continuity of driving navigation, the current user location data can be discarded, and the last valid location or location data can be used instead to mark the user's current location in the electronic map. Here, the last valid position may be the position data recognized as valid at the last unit time point, or the position data calculated based on the last unit time point combined with the road extension direction and the like.

Since in reality, there are indeed environments that interfere with GPS data in some areas, these situations can be collected and summarized, so as to understand in advance the possibility of possible position deviation when driving at this location again.

For example, after the current user location data is determined to be valid, the user location data is archived to generate a user driving normal data set and archived. When the user is driving in the next time window, if an error is obtained, the invalid data set is used as a reference object to perform matching verification on the user location data acquired in real time.

Referring to FIG. 4 , this figure is the second flowchart of actual operation on user data in the present invention after integrating all the above steps.

First, obtain the user's location data GPS signal and road information, including longitude, latitude, angle and other information. After analyzing the input such as GPS signal, according to the judging condition (S211-S212 step) of the judgment rule (S201-S203 step) of the first kind of dead point and the second kind of dead point judgment, to the user position data that obtains (that is input GPS signal) to judge and filter the bad points. The bad points here are the invalid data mentioned above.

For example, the first type of bad point judgment condition: the speed is too high (exceeding the actual situation): if the speed of the vehicle is 120km/h, the vehicle travels a distance of about 33 meters in one second. If the distance between the correct location point is greater than 35 meters, it can be judged that the currently acquired user location data belongs to the first type of dead point of signal drift.

The second type of dead point judgment condition: No matching road line: If there is no road within 5 meters of the currently acquired user location data, the location data is considered to belong to the second type of bad point of signal drift.

Then calculate the confidence value and matching degree through the algorithm. After calculating the matching degree, mark the valid user location data in the electronic map, and refresh the state machine to save the matching information. Finally, encapsulate the general result set and return it to the state machine .

By using the above method, the calculation efficiency can be effectively improved, and the real-time data processing ability is strong, the user position data with deviation can be accurately judged, and the wrong data can be effectively identified.

The above is the specific implementation content of a driving data verification method provided by the present invention. Based on the above, the present invention also provides a driving data verification system, see Figure 5, the system includes:

The matching manager 10 is used to obtain road geographic data and user location data; to use the user location data whose confidence level meets the threshold requirement, and mark the user's location in the electronic map;

A filter 20, configured to determine whether the user location data is valid according to the road geographic data and the user location data;

The matcher 30 is used to send the user location data to a confidence calculator to calculate the confidence if the user location data is valid, and compare the confidence with a confidence threshold; and feed back the comparison result to the matching management device;

A confidence calculator 40, configured to calculate the confidence of the user location data;

The state machine 50 is configured to display to the user according to the electronic map marked with the user's location by the matching manager.

When a user implements the present invention, the matching manager 10 first obtains road geographic data and user location data. Wherein, the road geographic data refers to an electronic coordinate data set corresponding to the geographical location of the actual road. The corresponding road can be clearly marked in the electronic map through this electronic coordinate data set. The user location data is the real-time coordinate location data of the user (generally a data set composed of multiple coordinate data), which can be obtained through relevant hardware or software such as GPS. Through the combination of the above two, the environment where the user is located can be well determined in the electronic map.

As an optional implementation manner, the filter 102 is configured to determine whether the user location data is valid according to the road geographic data and the user location data. Wherein, the filter 102 further includes:

A calculation unit, configured to calculate the user's position movement value within a unit time interval according to the road geographic data value and the user's position data;

A comparing unit, configured to compare the current position movement value with the position movement value of the previous time interval, and determine whether the user position data is invalid data;

The verification unit is used for discarding invalid user location data, marking the user's location with the user's last valid location; and for archiving the user location data after the user location data is confirmed to be valid.

Since there will be various interference factors during the driving process of the user, it is necessary to check the user's location data to determine whether it is valid data. If it is judged as invalid data, it should not be adopted by the system.

For example, judging whether the user location data is valid according to the road geographic data and the user location data in the filter 102 can be used to perform the following processing:

Calculate the user's position movement value within the unit time interval according to the road geographic data value and the user position data;

Comparing the current position movement value with the position movement value of the previous time interval, and judging whether it exceeds the displacement threshold;

If the displacement threshold is exceeded, the user location data is considered invalid.

Because the user is generally in a relatively stable state when driving, or even if there is a change in the driving state, the range generally does not change very quickly in a short period of time (such as slow acceleration, slow deceleration, uphill or downhill, etc.) ). Therefore, the user's speed value is relatively within a reasonable variation range. And if it suddenly exceeds this interval, it can be considered that there is a deviation in the user's location data.

For example, first calculate the user's position movement value within the unit time interval, obtain the two end values of the user in the unit time interval to determine the position, and then calculate the road distance traveled by the user within the unit time interval as the user's current position movement value.

Then compare the user's location movement value in this time interval with the location movement value of the previous time interval. Here you can set a displacement threshold, or a displacement threshold interval. If it exceeds this displacement threshold interval, it is considered that the user's current location data is incorrect and should be considered as invalid data.

In addition, judging whether the user location data is valid according to the road geographic data and the user location data in the filter 102 can also be:

Searching for road geographic data within a threshold range according to the user location data;

Judging that if no matching road geographic data is found, the user location data is considered invalid.

Because the user is generally in a relatively stable state when driving, and will not easily deviate from the road he is driving. For GPS user position data with interference, there may be situations such as wrong position and wrong direction. Therefore, the user's location data and direction will be within a reasonable range of change. And if it suddenly exceeds this interval, it can be considered that there is a deviation in the user's location data.

For example, the current location data of the user is obtained first, and then the road geographic data corresponding to the location data is searched, that is, whether the user is on the road is judged. Since there may be a certain normal difference in the user's position, a certain distance area threshold may also be set. For example, assuming that the user's location is (10, 10), you can set the distance area threshold +1 or -1. That is, the road found in the geographic data ([9,11],[9,11]) is the road the user is currently driving. If no matching road data is found, it is considered that the user's current location data is incorrect and should be considered as invalid data.

In addition, after the matching road is found, further based on the obtained user location data and the matched road geographic data, the current user location data and the user location data of the previous time interval can be used to calculate the The user's displacement direction per unit time.

The displacement direction is compared with the road information corresponding to the matched road geographic data, and it is judged whether it conforms to the traveling direction of the matched road.

If it is determined that it does not match, the current user position data is considered to be invalid data.

In the present invention, the above method 1 and method 2 can also be used in combination, so as to better judge whether the user location data is valid.

The matcher 103 is configured to calculate the confidence level of the user position data if the user position data is valid, and compare the confidence level with a confidence level threshold.

The confidence calculation is set here, which is mainly used to further judge whether the obtained user location data is valid data, so as to avoid wrongly marking the user location.

For the above-mentioned user data, if the displacement threshold is used for judgment, the confidence calculator 40 may use the distance confidence projection formula to calculate:

Reliability (distance confidence) = 1-Dis/Threshold

It should be noted that Dis refers to a projection distance, that is, a right-angle projection distance between the obtained current location data and the user's driving road. Threshold is the travel distance threshold corresponding to the preset speed.

For example: Calculated at a speed of 120 km/h, the unit driving distance per second is Threshold, which is 35 meters. If the projection distance is 20 meters, the calculated distance confidence is about 0.43, which is low; if the projection distance is 3 meters, the calculated distance confidence is about 0.92, which is relatively high. In general, the margin for confidence should be 0.8 or higher.

At the same time, it can also judge whether it conforms to the direction of travel, which can be calculated by using the heading confidence projection formula:

Reliability (heading confidence) = 1–sin(a)

Among them, a is the angle between the heading and the road direction

After obtaining the above confidence value, the matcher 30 judges whether the confidence value meets the threshold requirement. For example, the threshold condition is that all confidence values are required to exceed 0.8, and if the distance confidence is 0.7, the current user location data is considered to have a low confidence value, and the current user location data may not be used.

After obtaining the above results, the matching manager 10 marks the user's location on the electronic map with the user's location data whose confidence meets the threshold requirement.

If the obtained user location data is valid and meets the confidence condition, use the user location data to mark the user's location on the electronic map, or form the user's driving route with the previous location data.

In addition, an invalid data processor may also be included in the matching manager 10 . The invalid data processor judges that the user location data is invalid after the above calculation, discards the user location data, and uses the user's last valid location to mark the user's location.

If the currently obtained user location data is deemed to be invalid, in order to ensure the continuity of driving navigation, the current user location data can be discarded, and the last valid location or location data can be used instead to mark the user's current location in the electronic map. Here, the last valid position may be the position data recognized as valid at the last unit time point, or the position data calculated based on the last unit time point combined with the road extension direction and the like.

Because in reality, there are indeed environments that interfere with GPS data in some areas, it is also possible to use the data storage in the matching manager 10 to collect and summarize these situations, so as to understand in advance when driving at this position again in the future There may be a possibility of positional deviation.

For example, after the current user location data is determined to be valid, the user location data is archived to generate a user driving normal data set and archived. When the user is driving in the next time window, if an error is obtained, the invalid data set is used as a reference object to perform matching verification on the user location data acquired in real time.

Then, the electronic map marked with the user's location is displayed to the user by the state machine.

By using the above system, the calculation efficiency can be effectively improved, and the real-time data processing ability is strong, the user position data with deviation can be accurately judged, and the error data can be effectively identified.

As an optional implementation manner, based on the above embodiment, the above device further includes:

The automatic entry sub-unit is used to select the corresponding automatic entry method to automatically process the data change record according to the category of the data change record and the corresponding calculation rule called; wherein, the automatic entry method includes: attribute class automatic entry method, shape class Automatic entry method, automatic entry method of association class, and automatic entry method of relationship class.

In addition, the present invention provides a hybrid navigation system. As shown in FIG. 6 , the hybrid navigation system includes: a data module 405, a search module 410, a navigation module 415, an entertainment module 420, a communication module 425, and a vehicle fun driving operating system 400. , a sensing system 450 and a user interaction module. Optionally, the user interaction module includes an information entry module 430 , an intelligent voice interaction module 435 , an analysis module 440 and a display module 445 . in:

The data module 405 is used to store and update the electronic map data data module;

The driving data matching system described in any of the above related embodiments is used for processing user location data;

A search module 410, configured to perform a search operation and output search results according to user instructions;

A navigation module 415, configured to provide users with two-dimensional/three-dimensional path planning and navigation services according to the obtained navigation instructions;

The entertainment module 420 is used to provide games, music and other audio-visual entertainment items; the communication module 425 is used to obtain updated map data, dynamic traffic information, and one-to-one or group voice/video communication;

The information entry module 430 is used to receive instructions manually input by the user through the touch screen or buttons;

The intelligent voice interaction module 435 is used to receive the user's voice command, perform voice wake-up and voice control, and be used for voice output to execute the result of the user's voice command;

The analysis module 440 is used to perform voice recognition, semantic analysis and command conversion on the user's voice command, and is used to notify the corresponding module to execute the recognized user's voice command; wherein, the user's voice command is an expression of any sentence pattern in any language ;

The display module 445 is configured to display the search results provided by the search module, the navigation route provided by the navigation module, the map data provided by the data module, and the dynamic traffic information provided by the communication module, using voice, two-dimensional/three-dimensional graphics, and/or text display;

The vehicle fun driving operating system 400 is used to provide the operating environment and support for the above-mentioned modules;

The sensing system 450 is used to monitor vehicle status and road condition information, and provide real-time dynamic information for the Fun Driving operating system.

It should be noted that, since the method and device for automatically generating map data described in any of the foregoing embodiments has the above-mentioned technical effects, the method and device for automatically generating map data described in any of the foregoing embodiments are adopted The hybrid navigation system should also have corresponding technical effects, and its specific implementation process is similar to that of the above-mentioned embodiments, so details will not be repeated here.

The above descriptions are only preferred embodiments of the present invention, and do not limit the present invention in any form. Although the present invention has been disclosed above with preferred embodiments, it is not intended to limit the present invention. Any person familiar with the art, without departing from the scope of the technical solution of the present invention, can use the methods and technical content disclosed above to make many possible changes and modifications to the technical solution of the present invention, or modify it into an equivalent of equivalent change Example. Therefore, any simple modifications, equivalent changes and modifications made to the above embodiments according to the technical essence of the present invention, which do not deviate from the technical solution of the present invention, still fall within the protection scope of the technical solution of the present invention.

Claims (9)

1. A driving data verification method, characterized in that, comprising: Obtain road geographic data and user location data; judging whether the user location data is valid according to the road geographic data and the user location data; If the user location data is valid, calculate the confidence of the user location data; According to the user location data whose confidence meets the threshold requirement, the user's location is marked on the electronic map. 2. The method according to claim 1, wherein the judging whether the user location data is valid according to the road geographic data and the user location data comprises: Calculate the user's position movement value within the unit time interval according to the road geographic data value and the user position data; Comparing the current position movement value with the position movement value of the previous time interval, and judging whether it exceeds the displacement threshold; If the displacement threshold is exceeded, the user location data is invalid data. 3. The method according to claim 1 or 2, wherein the judging whether the user location data is valid according to the road geographic data and the user location data further comprises: Searching for road geographic data within a threshold range according to the user location data; It is judged that if no matching road geographic data is found, the user location data is invalid data. 4. The method according to claim 3, further comprising: Judging that the matching road geographic data is found, and calculating the displacement direction of the user in unit time according to the current user location data and the user location data of the previous time interval; Comparing the displacement direction with the road information corresponding to the matched road geographic data, and judging whether it conforms to the traveling direction of the matching road; if not, the current user position data is invalid data. 5. The method according to claim 4, further comprising: If it is determined to be invalid data, the user location data is discarded, and the user's last valid location is used to mark the user's location; Archiving the user location data after the user location data is deemed valid. 6. A driving data matching system, comprising: The matching manager is used to obtain road geographic data and user location data; it is used to mark the user's location on the electronic map with the user location data whose confidence meets the threshold requirement; a filter for judging whether the user location data is valid according to the road geographic data and the user location data; A matcher, for if the user location data is valid, send the user location data to a confidence calculator to calculate the confidence, compare the confidence with a confidence threshold; feed back the comparison result to the matching manager ; a confidence calculator, used to calculate the confidence of the user location data; The state machine is used for displaying to the user according to the electronic map marked with the user's location by the matching manager. 7. The system of claim 6, wherein the filter comprises: A calculation unit, configured to calculate the user's position movement value within a unit time interval according to the road geographic data value and the user's position data; A comparing unit, configured to compare the current position movement value with the position movement value of the previous time interval, and determine whether the user position data is invalid data; The verification unit is used for discarding invalid user location data, marking the user's location with the user's last valid location; and for archiving the user location data after the user location data is confirmed to be valid. 8. A hybrid navigation system, comprising: A data module, used to store and update electronic map data; The driving data matching system according to claim 6 or 7, used for processing user position data; A search module, configured to perform a search operation and output search results according to user instructions; The navigation module is used to provide users with two-dimensional/three-dimensional path planning and navigation services according to the obtained navigation instructions; The entertainment module is used to provide games, music and other audio-visual entertainment items; Communication module, used to obtain updated map data, dynamic traffic information, one-to-one or group voice/video communication; The fun driving operating system is used to provide the operating environment and support for the above modules; The sensing system is used to monitor vehicle status and road condition information, and provide real-time dynamic information for the Fun Driving operating system. 9. The system according to claim 8, wherein the user interaction module further comprises: The information entry module is used to receive instructions manually input by the user through the touch screen or keys; The intelligent voice interaction module is used to receive user voice instructions, perform voice wake-up and voice control, and to output the result of executing the user voice instructions by voice; The analysis module is used to perform speech recognition, semantic analysis and instruction conversion on the user's voice command, and is used to notify the corresponding module to execute the recognized user's voice command; wherein, the user's voice command is any sentence in any language type of expression; The display module is used to display the search results provided by the search module, the navigation route provided by the navigation module, the map data provided by the data module, and the dynamic traffic information provided by the communication module, using voice, two-dimensional / displayed in three-dimensional graphics and/or text.