CN110550044A - Driving assisting method and device - Google Patents
Driving assisting method and device Download PDFInfo
- Publication number
- CN110550044A CN110550044A CN201810456345.6A CN201810456345A CN110550044A CN 110550044 A CN110550044 A CN 110550044A CN 201810456345 A CN201810456345 A CN 201810456345A CN 110550044 A CN110550044 A CN 110550044A
- Authority
- CN
- China
- Prior art keywords
- vehicle
- risk
- driving state
- state data
- data
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W40/00—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models
- B60W40/10—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models related to vehicle motion
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W50/00—Details of control systems for road vehicle drive control not related to the control of a particular sub-unit, e.g. process diagnostic or vehicle driver interfaces
- B60W50/08—Interaction between the driver and the control system
- B60W50/14—Means for informing the driver, warning the driver or prompting a driver intervention
Landscapes
- Engineering & Computer Science (AREA)
- Automation & Control Theory (AREA)
- Transportation (AREA)
- Mechanical Engineering (AREA)
- Human Computer Interaction (AREA)
- Physics & Mathematics (AREA)
- Mathematical Physics (AREA)
- Traffic Control Systems (AREA)
Abstract
The embodiment of the application discloses a method and a device for assisting driving, wherein driving state data of a vehicle are acquired in real time, whether the acquired driving state data are matched with corresponding safety data or not is judged, wherein the safety data are the driving state data when the vehicle is in a safety state, if the driving state data are not matched with the corresponding safety data, the driving state data can be determined to be abnormal data, at the moment, risks corresponding to the driving state data can be predicted, corresponding processing modes are searched according to the risks, and a user is reminded according to the processing modes. Because the driving state data of the vehicle is acquired in real time, the driving state data can represent the current working state of the vehicle, and the user is reminded when a corresponding processing mode is obtained, so that the user can acquire the vehicle information in time, and has sufficient time to make a corresponding response to solve or avoid the problem to be generated, thereby improving the driving safety of the vehicle and improving the driving experience of the user.
Description
Technical Field
The application relates to the field of automobiles, in particular to a driving assisting method and device.
Background
The vehicle is an important tool in life, and in order to run safely, the vehicle is generally provided with a fault alarm device, so that when the vehicle breaks down, a fault lamp is turned on to prompt a user to carry out fault maintenance or parking repair. However, if the vehicle runs on the road at the moment, the user can immediately perform the vehicle fault repair or the parking repair report when knowing that the vehicle has a fault, which is very inconvenient and has potential safety hazards.
Disclosure of Invention
in order to solve the potential safety hazard problem of a fault alarm device in the prior art, the embodiment of the application provides a driving assisting method and device.
The driving assistance method provided by the embodiment of the application comprises the following steps:
Acquiring driving state data of a vehicle in real time;
judging whether the driving state data are matched with corresponding safety data or not, wherein the safety data are the driving state data when the vehicle is in a safe state;
If not, predicting the risk corresponding to the driving state data;
And searching a processing mode corresponding to the risk according to the risk, and reminding a user according to the processing mode.
Optionally, the processing manner for finding the risk corresponding to the risk according to the risk includes:
Determining a risk level and risk content according to the risk;
and if the risk level is higher than a first preset level, determining a processing mode corresponding to the risk content according to the risk content.
optionally, after the processing manner corresponding to the risk content is found according to the risk content, the method further includes:
And sending an instruction to the electronic control unit according to the processing mode so that the electronic control unit controls the vehicle according to the processing mode.
optionally, the method further includes:
The method comprises the steps of obtaining vehicle information and vehicle position information, and sending the vehicle information and the vehicle position information to a server so that the server can reserve vehicle maintenance or rescue.
optionally, the method further includes:
responding to input information of a user, generating response information corresponding to the input information, and reminding the user according to the response information.
optionally, the reminding the user includes: and reminding the user by at least one of voice, image and text.
The embodiment of the application provides a supplementary driving device includes:
the data acquisition unit is used for acquiring the driving state data of the vehicle in real time;
the judging unit is used for judging whether the driving state data are matched with corresponding safety data or not, wherein the safety data are the driving state data when the vehicle is in a safety state;
the risk prediction unit is used for predicting the risk corresponding to the driving state data if the judgment result of the judgment unit is negative;
the processing mode acquiring unit is used for searching the processing mode corresponding to the risk according to the risk;
And the reminding unit is used for reminding the user according to the processing mode.
Optionally, the processing manner obtaining unit includes:
the risk analysis unit is used for determining a risk level and risk content according to the risk;
And the processing mode acquiring subunit is used for determining a processing mode corresponding to the risk content according to the risk content if the risk level is higher than a first preset level.
optionally, after the processing manner corresponding to the risk content is found according to the risk content, the apparatus further includes:
and the processing mode sending unit is used for sending an instruction to the electronic control unit according to the processing mode so that the electronic control unit controls the vehicle according to the processing mode.
Optionally, the apparatus further comprises:
The reservation unit is used for acquiring vehicle information and vehicle position information and sending the vehicle information and the vehicle position information to the server so that the server can reserve vehicle maintenance or rescue.
Optionally, the apparatus further comprises:
and the interaction unit is used for responding to the input information of the user, generating response information corresponding to the input information, and reminding the user according to the response information.
According to the driving assisting method and device provided by the embodiment of the application, whether the acquired driving state data are matched with the corresponding safety data or not is judged by acquiring the driving state data of the vehicle in real time, wherein the safety data are the driving state data when the vehicle is in a safety state, if the driving state data are not matched with the corresponding safety data, the driving state data can be determined to be abnormal data, the risk corresponding to the driving state data can be predicted at the moment, the corresponding processing mode is searched according to the risk, and the user is reminded according to the processing mode. The driving state data of the vehicle is acquired in real time, so that the current working state of the vehicle can be represented, the driving state data is compared with the driving state data when the vehicle is in a safe state, if the driving state data is not matched with the driving state data, the driving state data is abnormal, and a user can be reminded when a corresponding processing mode is obtained, so that the user can acquire vehicle information in time, and sufficient time is provided for making a corresponding response to deal with or avoid the problem to be generated, the driving safety of the vehicle is improved, and the driving experience of the user is improved.
drawings
in order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments described in the present application, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a flowchart of a driving assistance method according to an embodiment of the present disclosure;
FIG. 2 is a flow chart of another driving assistance method provided by an embodiment of the present application;
Fig. 3 is a block diagram of a driving assistance device according to an embodiment of the present disclosure;
Fig. 4 is a block diagram of another driving assistance device according to an embodiment of the present application.
Detailed Description
In order to make the technical solutions of the present application better understood, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
In the prior art, a fault alarm device of a vehicle usually lights up a fault lamp when the vehicle has a fault, and gives an alarm to prompt a user to carry out fault maintenance or parking repair. However, such a fault alarm measurement is usually relatively passive and lagged, and when a vehicle has a fault, the vehicle often runs on the road, and in one case, the vehicle is anchored in the field due to the fault, and then the alarm cannot play a role in warning the owner of the vehicle; in another case, when the vehicle is in a traveling obstacle due to the failure, the user knows the failure of the vehicle but is forced to continue traveling only under the condition of the condition, and the vehicle is inspected only in a safe area.
in order to solve the above technical problem, an embodiment of the present application provides a driving assistance method, which pre-determines a possible fault of a vehicle and prompts a user by analyzing current state data of the vehicle.
referring to fig. 1, a flowchart of a driving assistance method provided by an embodiment of the present application, which is applied to a processor, includes the following steps.
And S101, acquiring the driving state data of the vehicle in real time.
The driving state data of the vehicle refers to data of the current driving state of the vehicle. The driving state information may include operating state data of the vehicle, and may be one or more of vehicle speed, gear information, light information, transmission oil pressure, transmission pressing interval time, and engine water temperature, for example. Specifically, the engine water temperature may be achieved at 97 degrees Celsius (C.), the vehicle speed may be achieved at 100 kilometers Per Hour (Kilometer Per Hour, km/h), and the transmission oil pressure may be achieved at 500 kilopascals (kPa).
The operating state data of the vehicle may be acquired in real time by various vehicle-mounted sensors or auxiliary sensors, such as a signal/on-off state sensor, a pressure sensor, a speed sensor, a flow sensor, a temperature sensor, a distance sensor, and the like, or auxiliary sensors such as a solar sensor, and other sensors for measuring the driving state data of the vehicle.
The driving state data of the vehicle may also be real-time road condition information, for example, environment information including information such as weather state, temperature state, humidity state, season, and the like, specifically, rain and snow weather or haze weather, and the road condition information may also be road information including information such as the position of the vehicle, the number of vehicles on the road, the speed of the vehicle ahead, and the humidity of the road surface. The real-time traffic information may be obtained by a vehicle-mounted sensor, an auxiliary sensor, and the like, such as a temperature sensor, a humidity sensor, a distance sensor, and the like.
the driving state data of the vehicle may also be state information of the driver, such as sex, appearance, mental state, blood alcohol concentration, age range and the like of the driver, specifically, the mental state of the driver may be acquired through the camera so as to judge whether the driver is tired or drunk driving, and the blood alcohol concentration of the driver may be directly or indirectly acquired through the alcohol sensor so as to judge whether the driver is drunk driving.
In analogy to the operating state data of the vehicle, the driving state data of the vehicle other than the operating state data may be acquired in real time by various vehicle-mounted sensors or auxiliary sensors, such as a GPS sensor, a pressure sensor, a speed sensor, a flow sensor, a temperature sensor, a humidity sensor, an alcohol sensor, a distance sensor, or the like, or auxiliary sensors such as a solar sensor, or other sensors for measuring the driving state data of the vehicle.
after the vehicle-mounted sensor, the auxiliary sensor or other devices acquire the driving state data of the vehicle, the driving state data of the vehicle can be sent to the processor, so that the processor can acquire the driving state data of the vehicle in real time.
and S102, judging whether the driving state data are matched with the corresponding safety data or not, and if not, executing S103.
the safety data is driving state data when the vehicle is in a safe state.
Specifically, the safety data can be obtained according to the characteristics of the vehicle, for example, the data range of the engine water temperature in the safety state is 90-100 ℃, and the oil pressure range of the transmission in the safety state is 360-390 kPa in the D gear of the automatic gear.
The safety data may also be obtained by analyzing external information of the vehicle, for example, corresponding driving norms may be generated according to the driving state information and road condition information acquired in real time and related laws and regulations, and the safety data may be further generated according to the corresponding driving norms.
Specifically, safety data can be generated according to information such as weather, temperature, road conditions, vehicle conditions and regulations, for example, positioning is performed according to a GPS sensor, information that a vehicle is about to face a tunnel is obtained, the speed limit of the tunnel is 80km/h according to a database, information that a vehicle in front runs slowly is obtained according to the road condition information, information that air humidity is high and a road surface is slightly slippery is obtained through a vehicle-mounted sensor, an auxiliary sensor or other equipment, and a safety distance to a front vehicle to be maintained is determined to be 100 meters according to relevant laws and regulations under the current vehicle speed of the road section, so that the generated safety data can comprise the safety speed of 80km/h and the safety distance to the front vehicle of 100 meters. For example, when the vehicle is traveling in a tunnel, a driving standard for turning on the headlamps is acquired, and safety data is generated in which the headlamps are turned on.
The safety data may also be analyzed based on driver information, for example, when the blood alcohol concentration of the driver is higher than 20mg (Milligram) per 100mL (millilite, mL), it may be determined that the driver is a driver who is drunk or drunk, and the vehicle is in a dangerous state, so the alcohol concentration may be obtained through an alcohol sensor in the vehicle. The alcohol concentration detected by the alcohol sensor is usually related to the alcohol concentration in the blood of the driver, for example, a certain alcohol sensor can detect the alcohol concentration in the air, and the product of the alcohol concentration detected by the alcohol sensor and 2200 is approximately equal to the alcohol concentration in the blood of the driver, so that if the detected alcohol concentration in the air is higher than 9 micrograms (μ g)/100mL, the blood alcohol concentration is higher than 20mg/100mL, and the driver is drunk driving or drunk driving. Thus, the corresponding security data generated from the alcohol sensor may be: the alcohol concentration in air was less than 9. mu.g/100 mL. The safety data may be stored in a safety database, and the processor may find the safety data corresponding to the acquired driving state data by searching the safety database. The safety database can be in the processor or in a server connected with the processor, and the processor can interact with the server through the wireless network to search the safety data from the server.
The corresponding safety data are data corresponding to the driving state data, specifically, if the driving state data of the vehicle acquired in real time are engine water temperature data, the corresponding safety data are engine water temperatures when the vehicle is in a safety state; and if the transmission oil pressure is acquired in real time, the corresponding safety data is the transmission oil pressure when the current vehicle is in a safe state.
As a possible implementation manner, it is determined whether the driving state data is matched with the corresponding safety data, specifically, it may be determined whether the driving state data is the same as the corresponding safety data, and if the driving state data is the same as the corresponding safety data, the driving state data and the corresponding safety data are considered to be matched.
For example, if the engine water temperature in the safe state is 90 ℃, and the currently acquired engine water temperature is also 90 ℃, it is determined that the two are matched. Or when the vehicle runs in the tunnel, the safety data corresponding to the state of the headlamp of the vehicle is in an on state, and if the state of the headlamp of the vehicle is judged to be in the on state, the safety data and the headlamp are judged to be matched.
As another possible implementation manner, whether the driving state data and the corresponding safety data are matched or not is judged, whether the ratio of the state data to the corresponding safety data exceeds a first threshold or whether the difference exceeds a second threshold or not is judged, if not, the state data and the corresponding safety data are matched, wherein the first threshold and the second threshold are used for representing the minimum difference between the state data and the safety data, and if the difference is smaller, the state data and the safety data are matched.
For example, the engine water temperature in the safe state may be 95 ℃, if the first threshold is 1.05, the engine water temperature obtained in real time may be 92 ℃, and the ratio thereof to the engine water temperature in the safe state may be 1.032, which does not exceed the first threshold, and thus the two are matched, and if the second threshold is 5 ℃, the engine water temperature obtained in real time may be 92 ℃, which differs from the engine water temperature in the safe state by 2, which does not exceed the second threshold, which thus matches. Or the blood alcohol concentration in the safe state can be less than 15mg/100mL, if the first threshold is 1.3, the blood alcohol concentration obtained in real time is 18mg/100mL, the ratio of the blood alcohol concentration to the blood alcohol concentration in the safe state is 1.2, and the first threshold is not exceeded, so the two are matched, if the second threshold is 5mg/100mL, the blood alcohol concentration obtained in real time is 19mg/100mL, and the difference between the blood alcohol concentration and the blood alcohol concentration in the safe state is not exceeded, so the two are matched.
As another possible implementation manner, it is determined whether the driving state data and the corresponding safety data are matched, and it may also be determined whether the state data are within the corresponding safety data range, and if so, it is determined that the driving state data and the corresponding safety data are matched.
For example, the water temperature of the engine in a safe state is 90-100 ℃, the water temperature of the engine obtained in real time is 92 ℃, and the water temperature of the engine in real time is matched with the water temperature of the engine in a safe data range if the water temperature of the engine is judged to be within the safe data range. Or the alcohol concentration range in the safe state is less than 20mg/100mL, the alcohol concentration obtained in real time is 10mg/100mL, and the real-time alcohol concentration is judged to be within the safe data range, so that the two are matched.
whether the driving state data are matched with the corresponding safety data or not is judged, and other modes can be provided, which are not limited herein.
And S103, predicting the risk corresponding to the driving state data.
and when the driving state data are not matched with the corresponding safety data, the driving state data are driving state data with potential safety hazards. For example, when the water temperature of the engine in a safe state is within a range of 90-100 ℃, the water temperature of the engine is acquired in real time and is 85 ℃, and the data of the water temperature of the engine is a data value with potential safety hazard.
For the driving state data with potential safety hazards, the risk corresponding to the driving state data can be predicted according to the driving state data. The risk corresponding to the driving state data refers to the data value with potential safety hazard, which may cause danger to the vehicle and the driver.
The risk corresponding to the driving state can be predicted by searching a main database, and the main database can comprise information such as a vehicle driving safety manual, vehicle function introduction, safety data, traffic laws and regulations, safety data, user habits and the like. The server can have a self-learning function and perform data integration, data and updating functions, so that the data in the main database can be updated in real time. The primary database may be the same database as the secure database or may be a different database from the secure database.
The master database may be in the processor or in a server connected to the processor. When the main database is in the server, the processor can communicate with the server through the wireless network, so that data search and risk prediction corresponding to the driving state are realized.
For example, a risk associated with predicting that the headlights are not turned on may be that the driver is blinded and a collision accident occurs.
And S104, searching a processing mode corresponding to the risk according to the risk, and reminding the user according to the processing mode.
The processing mode for searching corresponding risks refers to corresponding measures for risks possibly caused by the driving state data with the potential safety hazards, and can be used for timely eliminating the potential safety hazards and also can be used for making corresponding emergency measures for potential safety hazards which cannot be immediately eliminated. The processing mode corresponding to the risk can be obtained by searching in the main database. For example, the headlight is not turned on correspondingly to the risk that the driver is not in a clear sight and a collision accident occurs, and the corresponding processing mode can be that the headlight is turned on immediately so as to eliminate the potential safety hazard. In the case of low engine water temperature, engine stall may be caused, and emergency treatment may be performed for the case, for example, immediately stopping the vehicle and stalling the vehicle or stopping the vehicle and stalling the vehicle after the vehicle slowly travels to a safe zone, so as to avoid a safety accident caused by sudden stop.
And searching a corresponding processing mode according to the risk, which may specifically be to determine a risk level and a risk content corresponding to the state data according to the predicted risk of the state data, and if the risk level is higher than a first preset level, searching a processing mode corresponding to the risk content according to the risk content.
For example, the first preset level may be three levels, the temperature of the engine water is 85 ℃, the corresponding risk content may be that the engine is out of order, and the risk level is two levels, for example, it may be determined that the risk corresponding to the state data is important, and the processing mode corresponding to the risk content may be searched according to the risk content. The processing mode corresponding to the risk content searching can be realized by searching in the main database. Taking the case where the engine water temperature is low as an example, the processing method for searching the master database for the risk content may be, for example, immediate stop and slow speed running of the flameout party. In response to the situation that the headlamps are not turned on, the corresponding processing manner may be to turn on the headlamps immediately.
the reminding for the user according to the processing mode can be performed in at least one mode of voice, image and text.
the content of reminding the user can be a prompt only with abnormal driving state data, for example, the text "please note that the engine water temperature is low" can be displayed in an instrument information center of the vehicle; or displaying the related image of the engine water temperature in an instrument information center of the vehicle to prompt that the engine water temperature is low; the voice can also prompt the user that the engine water temperature is low and please note, and the voice is played through a loudspeaker; when an alarm corresponding to abnormal driving state data exists, the alarm can be used for giving an alarm, wherein the alarm can comprise a warning lamp and/or a buzzer, and for example, an engine low-temperature warning lamp can be lightened.
In the embodiment of the application, when the vehicle speed exceeds the safe speed range, the vehicle can be reminded of reminding for 'speeding and noticing', when the distance between the vehicle and a front vehicle is less than the safe distance, the user can be reminded of 'having rear-end collision risk and noticing', when the blood alcohol concentration is higher than the safe blood alcohol concentration, the user can be reminded of 'forbidding drunk driving and noticing', when the vehicle is driven in the dark and the vehicle headlamp is not turned on, the user can be reminded of 'noticing when the vehicle headlamp is turned on'.
The content of the user reminding can comprise abnormal driving state data and corresponding risks, for example, when the vehicle is driven in the dark and the vehicle headlamps are not turned on, the user can be reminded of that the vehicle headlamps are not turned on through voice, images or characters, and the risk of collision accidents can occur. "
The content of the user reminding can comprise abnormal driving state data, corresponding risks and corresponding processing mode prompts, for example, the user can be informed through voice that the engine water temperature is low and the user is required to stop and stop the vehicle immediately and slowly run the vehicle or that the vehicle headlamp is not turned on and is required to turn on the headlamp immediately when the vehicle headlamp is in danger of collision accidents. ", the user may also be notified by text or images.
It should be noted that, the user is reminded through voice and characters, so that the driver can accurately acquire the information of the vehicle when the driver is unfamiliar with the alarm function of the vehicle, and the improvement of user experience is facilitated.
according to the driving assisting method provided by the embodiment of the application, whether the acquired driving state data are matched with the corresponding safety data or not is judged by acquiring the driving state data of the vehicle in real time, wherein the safety data are the driving state data when the vehicle is in a safety state, if the driving state data are not matched with the corresponding safety data, the driving state data can be determined to be abnormal data, the risk corresponding to the driving state data can be predicted at the moment, the corresponding processing mode is searched according to the risk, and the user is reminded according to the processing mode. Because the driving state data of the vehicle is acquired in real time, the current working state of the vehicle can be represented, the driving state data is compared with the driving state data when the vehicle is in a safe state, if the driving state data is not matched with the driving state data, the driving state data is abnormal, and a user can be reminded when a corresponding processing mode is obtained, so that the user can acquire the vehicle information in time, and sufficient time is provided for making a corresponding response to deal with or avoid the problem to be generated, the vehicle safety is improved, and the driving experience of the user is improved.
Referring to fig. 2, a flowchart of another driving assistance method provided in an embodiment of the present application, which is applied to a processor, includes the following steps.
S201, acquiring the driving state data of the vehicle in real time.
s202, judging whether the driving state data are matched with the corresponding safety data or not, and if not, executing S203.
and S203, predicting the risk corresponding to the driving state data.
And S204, searching a processing mode corresponding to the risk according to the risk, and reminding the user according to the processing mode.
the implementation processes of S201, S202, S203, and S204 may refer to corresponding S101, S102, S103, and S104, and are not described herein again.
and S205, sending an instruction to the electronic control unit.
In order to further improve the safety of the vehicle and further improve the user experience, in the driving assistance method provided in the embodiment of the present application, after the processing manner corresponding to the risk content is searched according to the risk content, an instruction may be sent to the electronic control unit according to the processing manner corresponding to the risk content, so that the electronic control unit controls the vehicle according to the received processing manner.
In actual operation, the processor may further send an instruction to an Electronic Control Unit (ECU) according to a processing manner corresponding to the risk content, where the ECU may Control the vehicle after receiving the relevant instruction, so as to recover the abnormal driving state information to normal.
For example, if it is determined that the vehicle is running in a tunnel and the headlamp is not turned on, that is, it is determined that the light state of the vehicle is not matched with the safety data, a light turn-on command may be sent to the ECU, and after receiving the light turn-on command, the ECU controls the light of the vehicle to be turned on, so that the light state of the vehicle is matched with the safety data, that is, the headlamp of the vehicle is turned on.
Before the processor sends the instruction to the ECU, the processor may interact with the user, notify the user of the risk content corresponding to the driving state information of the vehicle at that time, the processing mode corresponding to the risk content, the type of the instruction sent to the ECU, and the like, and send the instruction to the ECU after the user confirms the information.
For example, when the vehicle is unlocked, the parking time of the vehicle can be judged to be dinner time, a drinking place is detected in the periphery, the alcohol content is judged to exceed the safe alcohol content through the alcohol sensor and the camera in the vehicle, at the moment, the user is judged to be possibly in a drunk state, besides reminding the user of ' no drunk driving ', interaction with the user can be carried out, for example, prompting the user whether to prohibit starting the vehicle? ' and responding to a starting prohibition confirmation instruction of the user, and an instruction of prohibiting starting the vehicle is sent to the ECU.
For example, when the vehicle is running in a tunnel but the headlamps are not turned on, the user is judged to be in an irregular driving state, and besides the user is reminded that the vehicle headlamps are not turned on and are possibly in danger of collision accidents, the user is asked to turn on the headlamps immediately, interaction can be carried out with the user, for example, the user is prompted to judge whether the headlamps are turned on?, and the turn-on command is sent to the ECU in response to the confirmation turn-on command of the user.
S206, transmits the reservation information.
In the embodiment of the application, if the risk level is judged to be higher than the second preset level, the vehicle information, the risk content and the position information of the vehicle can be obtained, and the vehicle information, the risk content and the position information of the vehicle are sent to the server, so that the server can reserve the vehicle for maintenance and/or rescue. The second preset level is higher than the first preset level, that is, the importance degree of the second preset level is higher than the first preset level.
Specifically, the server may perform data transmission with a Dealer through a Dealer Management System (DMS) to send the vehicle information, the risk content, and the vehicle position information to a nearby or designated authorized Dealer to implement reservation for vehicle maintenance, or the server may send the vehicle information and the vehicle position information to a rescue center through an Application (APP) connected to the server to implement reservation for rescue.
The processor may also interact with the user to reserve vehicle service and/or rescue in accordance with the user's instructions prior to the processor sending the instructions to the ECU.
if the drunk driving behavior of the user is judged, after the vehicle is prohibited to start, the user can be inquired about the selection of 'driving in generation', 'trailer' and 'parking' through interaction with the user, after the user replies 'driving in generation', a driving in generation company, personnel, price and the like can be inquired through a main database, the inquired result is formed into a list to be displayed to the user, and after the user selects a driving in generation personnel, the driving in generation personnel selected by the user is reserved.
the dealer, the rescue center or the designated personnel actively contact the user after receiving the notification, and help the user in real time.
the processor can also respond to the input information of the user, generate response information corresponding to the input information, and remind the user according to the response information, wherein the input information of the user can be in other modes such as voice, characters and the like.
For example, the input information of the user is 'how the engine water temperature is too high?', the processor can search related information in the database to generate response information corresponding to the input information.
The processor may obtain information matched with a keyword of the input information by searching information in the main database, may also obtain information matched with the keyword of the input information from the main database by transmitting an instruction to the server, and may also obtain information matched with the keyword of the input information from an internet search engine by the server, and at the same time, the server may also store the searched information in the main database to realize updating of the main database.
The response information may include information such as failure cause analysis, countermeasure, psychological counseling, and the like. The response information can inform the user in a voice mode, so that voice interaction with the user is realized, and user experience is improved.
According to the driving assisting method provided by the embodiment of the application, whether the acquired driving state data are matched with the corresponding safety data or not is judged by acquiring the driving state data of the vehicle in real time, wherein the safety data are the driving state data when the vehicle is in a safety state, if the driving state data are not matched with the corresponding safety data, the driving state data can be determined to be abnormal data, the risk corresponding to the driving state data can be predicted at the moment, the corresponding processing mode is searched according to the risk, and the user is reminded according to the processing mode. Because the driving state data of the vehicle is acquired in real time, the current working state of the vehicle can be represented, the driving state data is compared with the driving state data when the vehicle is in a safe state, if the driving state data is not matched with the driving state data, the driving state data is abnormal, and a user can be reminded when a corresponding processing mode is obtained, so that the user can acquire the vehicle information in time, and sufficient time is provided for making a corresponding response to deal with or avoid the problem to be generated, the vehicle safety is improved, and the driving experience of the user is improved. In the embodiment of the application, when the driving state data of the vehicle is abnormal, the command can be sent to the ECU or the reservation rescue or the maintenance can be carried out, and when the vehicle breaks down, reliable help is provided for a user in real time, so that the safety of the vehicle is further improved, and the driving experience is improved.
Based on the driving assisting method provided by the above embodiment, the embodiment of the application also provides a driving assisting device, and the working principle of the driving assisting device is described in detail below with reference to the accompanying drawings.
Referring to fig. 3, which is a block diagram of a driving assistance device according to an embodiment of the present application, the device includes:
a data acquisition unit 301 for acquiring driving state data of the vehicle in real time;
A judging unit 302, configured to judge whether the driving state data is matched with corresponding safety data, where the safety data is driving state data when the vehicle is in a safe state;
A risk prediction unit 303, configured to predict a risk corresponding to the driving state data if a determination result of the determination unit is negative;
A processing manner obtaining unit 304, configured to search, according to the risk, a processing manner corresponding to the risk;
A reminding unit 305, configured to remind the user according to the processing manner.
Optionally, the processing manner obtaining unit includes:
The risk analysis unit is used for determining a risk level and risk content according to the risk;
And the processing mode acquiring subunit is used for determining a processing mode corresponding to the risk content according to the risk content if the risk level is higher than a first preset level.
Optionally, after the processing manner corresponding to the risk content is found according to the risk content, referring to fig. 4, the apparatus further includes:
And a processing mode sending unit 406, configured to send an instruction to the electronic control unit according to the processing mode, so that the electronic control unit controls the vehicle according to the processing mode.
Optionally, the apparatus further comprises:
The reservation unit 407 is configured to acquire vehicle information and vehicle position information, and send the vehicle information and the vehicle position information to a server, so that the server reserves vehicle maintenance or rescue.
Optionally, the apparatus further comprises:
And the interaction unit is used for responding to the input information of the user, generating response information corresponding to the input information, and reminding the user according to the response information.
The driving assisting device provided by the embodiment of the application judges whether the acquired driving state data are matched with the corresponding safety data or not by acquiring the driving state data of the vehicle in real time, wherein the safety data are the driving state data when the vehicle is in a safety state, if the driving state data are not matched with the corresponding safety data, the driving state data can be determined to be abnormal data, the risk corresponding to the driving state data can be predicted at the moment, the corresponding processing mode is searched according to the risk, and the user is reminded according to the processing mode. The driving state data of the vehicle is acquired in real time, so that the current working state of the vehicle can be represented, the driving state data is compared with the driving state data when the vehicle is in a safe state, if the driving state data is not matched with the driving state data, the driving state data is abnormal, and a user can be reminded when a corresponding processing mode is obtained, so that the user can acquire vehicle information in time, and sufficient time is provided for making a corresponding response to deal with or avoid the problem to be generated, the driving safety of the vehicle is improved, and the driving experience of the user is improved.
When introducing elements of various embodiments of the present application, the articles "a," "an," "the," and "said" are intended to mean that there are one or more of the elements. The terms "comprising," "including," and "having" are intended to be inclusive and mean that there may be additional elements other than the listed elements.
It should be noted that, as one of ordinary skill in the art would understand, all or part of the processes of the above method embodiments may be implemented by a computer program to instruct related hardware, where the computer program may be stored in a computer readable storage medium, and when executed, the computer program may include the processes of the above method embodiments. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), or the like.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the apparatus embodiment, since it is substantially similar to the method embodiment, it is relatively simple to describe, and reference may be made to some descriptions of the method embodiment for relevant points. The above-described apparatus embodiments are merely illustrative, and the units and modules described as separate components may or may not be physically separate. In addition, some or all of the units and modules may be selected according to actual needs to achieve the purpose of the solution of the embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
the foregoing is directed to embodiments of the present application and it is noted that numerous modifications and adaptations may be made by those skilled in the art without departing from the principles of the present application and are intended to be within the scope of the present application.
Claims (10)
1. A driving assist method, characterized by comprising:
Acquiring driving state data of a vehicle in real time;
Judging whether the driving state data are matched with corresponding safety data or not, wherein the safety data are the driving state data when the vehicle is in a safe state;
If not, predicting the risk corresponding to the driving state data;
And searching a processing mode corresponding to the risk according to the risk, and reminding a user according to the processing mode.
2. the method according to claim 1, wherein the processing manner for finding the risk corresponding to the risk according to the risk comprises:
Determining a risk level and risk content according to the risk;
And if the risk level is higher than a first preset level, determining a processing mode corresponding to the risk content according to the risk content.
3. The method according to claim 2, wherein after the processing manner corresponding to the risk content is found according to the risk content, the method further comprises:
And sending an instruction to the electronic control unit according to the processing mode so that the electronic control unit controls the vehicle according to the processing mode.
4. The method of claim 3, further comprising:
The method comprises the steps of obtaining vehicle information and vehicle position information, and sending the vehicle information and the vehicle position information to a server so that the server can reserve vehicle maintenance or rescue.
5. The method of claim 1, further comprising:
Responding to input information of a user, generating response information corresponding to the input information, and reminding the user according to the response information.
6. The method of any one of claims 1 to 5, wherein the alerting the user comprises: and reminding the user by at least one of voice, image and text.
7. A driving assistance apparatus characterized by comprising:
The data acquisition unit is used for acquiring the driving state data of the vehicle in real time;
The judging unit is used for judging whether the driving state data are matched with corresponding safety data or not, wherein the safety data are the driving state data when the vehicle is in a safety state;
The risk prediction unit is used for predicting the risk corresponding to the driving state data if the judgment result of the judgment unit is negative;
the processing mode acquiring unit is used for searching the processing mode corresponding to the risk according to the risk;
And the reminding unit is used for reminding the user according to the processing mode.
8. The apparatus according to claim 7, wherein the processing manner acquiring unit includes:
The risk analysis unit is used for determining a risk level and risk content according to the risk;
And the processing mode acquiring subunit is used for determining a processing mode corresponding to the risk content according to the risk content if the risk level is higher than a first preset level.
9. the apparatus according to claim 8, wherein after the processing manner corresponding to the risk content is found according to the risk content, the apparatus further comprises:
and the processing mode sending unit is used for sending an instruction to the electronic control unit according to the processing mode so that the electronic control unit controls the vehicle according to the processing mode.
10. the apparatus of claim 7, further comprising:
the reservation unit is used for acquiring vehicle information and vehicle position information and sending the vehicle information and the vehicle position information to the server so that the server can reserve vehicle maintenance or rescue.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810456345.6A CN110550044A (en) | 2018-05-14 | 2018-05-14 | Driving assisting method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810456345.6A CN110550044A (en) | 2018-05-14 | 2018-05-14 | Driving assisting method and device |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110550044A true CN110550044A (en) | 2019-12-10 |
Family
ID=68733647
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810456345.6A Pending CN110550044A (en) | 2018-05-14 | 2018-05-14 | Driving assisting method and device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110550044A (en) |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112172827A (en) * | 2020-06-24 | 2021-01-05 | 上汽通用五菱汽车股份有限公司 | Driving assistance system control method, device, equipment and storage medium |
| CN112660047A (en) * | 2021-01-14 | 2021-04-16 | 武汉极目智能技术有限公司 | Automatic operation and maintenance monitoring method and terminal for driving auxiliary equipment based on big data |
| CN113085889A (en) * | 2021-05-11 | 2021-07-09 | 柳州柳工挖掘机有限公司 | Excavator and excavator accident monitoring and rescuing method and system |
| CN113715837A (en) * | 2020-05-25 | 2021-11-30 | 沃尔沃汽车公司 | Vehicle potential safety hazard management system and method |
| CN114312828A (en) * | 2021-11-30 | 2022-04-12 | 深圳元戎启行科技有限公司 | Risk management method, risk management platform and computer readable storage medium |
| CN115552845A (en) * | 2020-05-07 | 2022-12-30 | 日本电气通信系统株式会社 | Network control device, network control method and network control program |
| CN117649783A (en) * | 2023-10-19 | 2024-03-05 | 北京国信新一代信息技术研究院 | Internet of vehicles information security analysis method, system and readable storage medium |
| CN118397793A (en) * | 2024-04-29 | 2024-07-26 | 重庆赛力斯凤凰智创科技有限公司 | Intelligent driving method and device for vehicle, electronic equipment and storage medium |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP2072366A1 (en) * | 2007-12-20 | 2009-06-24 | Denso Corporation | Vehicle verification apparatus and vehicle control system using the same |
| CN102439645A (en) * | 2009-05-21 | 2012-05-02 | 日产自动车株式会社 | Driving support device and driving support method |
| KR101197457B1 (en) * | 2009-04-02 | 2012-11-05 | 팅크웨어(주) | Apparatus and method for displaying car drive estimate information |
| CN105346483A (en) * | 2015-11-04 | 2016-02-24 | 常州加美科技有限公司 | Man-machine interactive system for unmanned vehicle |
| CN105957184A (en) * | 2016-04-27 | 2016-09-21 | 惠州市华阳多媒体电子有限公司 | Intelligent HUD data processing method and system |
-
2018
- 2018-05-14 CN CN201810456345.6A patent/CN110550044A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP2072366A1 (en) * | 2007-12-20 | 2009-06-24 | Denso Corporation | Vehicle verification apparatus and vehicle control system using the same |
| KR101197457B1 (en) * | 2009-04-02 | 2012-11-05 | 팅크웨어(주) | Apparatus and method for displaying car drive estimate information |
| CN102439645A (en) * | 2009-05-21 | 2012-05-02 | 日产自动车株式会社 | Driving support device and driving support method |
| CN105346483A (en) * | 2015-11-04 | 2016-02-24 | 常州加美科技有限公司 | Man-machine interactive system for unmanned vehicle |
| CN105957184A (en) * | 2016-04-27 | 2016-09-21 | 惠州市华阳多媒体电子有限公司 | Intelligent HUD data processing method and system |
Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115552845A (en) * | 2020-05-07 | 2022-12-30 | 日本电气通信系统株式会社 | Network control device, network control method and network control program |
| US12184436B2 (en) | 2020-05-07 | 2024-12-31 | Nec Communication Systems, Ltd. | Network control apparatus, network control method, and network control program |
| CN113715837A (en) * | 2020-05-25 | 2021-11-30 | 沃尔沃汽车公司 | Vehicle potential safety hazard management system and method |
| CN113715837B (en) * | 2020-05-25 | 2023-10-20 | 沃尔沃汽车公司 | Vehicle safety hidden danger management system and method |
| CN112172827A (en) * | 2020-06-24 | 2021-01-05 | 上汽通用五菱汽车股份有限公司 | Driving assistance system control method, device, equipment and storage medium |
| CN112660047A (en) * | 2021-01-14 | 2021-04-16 | 武汉极目智能技术有限公司 | Automatic operation and maintenance monitoring method and terminal for driving auxiliary equipment based on big data |
| CN113085889A (en) * | 2021-05-11 | 2021-07-09 | 柳州柳工挖掘机有限公司 | Excavator and excavator accident monitoring and rescuing method and system |
| CN114312828A (en) * | 2021-11-30 | 2022-04-12 | 深圳元戎启行科技有限公司 | Risk management method, risk management platform and computer readable storage medium |
| CN117649783A (en) * | 2023-10-19 | 2024-03-05 | 北京国信新一代信息技术研究院 | Internet of vehicles information security analysis method, system and readable storage medium |
| CN117649783B (en) * | 2023-10-19 | 2024-11-22 | 北京国信新一代信息技术研究院 | Vehicle network information security analysis method, system and readable storage medium |
| CN118397793A (en) * | 2024-04-29 | 2024-07-26 | 重庆赛力斯凤凰智创科技有限公司 | Intelligent driving method and device for vehicle, electronic equipment and storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110550044A (en) | Driving assisting method and device | |
| US9573601B2 (en) | Automatic engagement of a driver assistance system | |
| US9487138B2 (en) | Method for outputting alert messages of a driver assistance system and associated driver assistance system | |
| US9227631B2 (en) | Method for safely parking a vehicle in an emergency situation | |
| CN112771592B (en) | Method for warning a driver of a motor vehicle, control device and motor vehicle | |
| US9457803B2 (en) | Method for activating a driver assistance system | |
| US20140114502A1 (en) | Method and system for the prevention of automobile accidents causes by failure to obey road regulations, a vehicle equipped with the system, a manufacturing method for the system, and use of the system in vehicles | |
| CN112689588A (en) | Control method and device for automatically driving vehicle | |
| WO2016049812A1 (en) | Automatic parking warning system | |
| CN111914237B (en) | Automobile driver biometric authentication and GPS services | |
| JP2007047914A (en) | Danger reaction point recording system and operation support system | |
| JP2010066827A (en) | Driving support system, driving support device and driving support method | |
| CN104943695A (en) | Driver intention estimation arrangement | |
| EP3349199B1 (en) | Method for determining a vehicle driven by a drunk driver, driving safety device and system, and server | |
| US20170316685A1 (en) | Vehicle accident management system and method for operating same | |
| CN109410643A (en) | A kind of limit for height frame monitoring system and can preventing car open by mistake the method into limit for height frame | |
| JPWO2019003294A1 (en) | Vehicle control device | |
| KR20160144286A (en) | Method and apparatus for limiting vehicle overspeed | |
| US20190325238A1 (en) | Advanced warnings for drivers of vehicles for upcoming signs | |
| CN109278747B (en) | Vehicle monitoring system and method | |
| KR20090102368A (en) | Apparatus for controlling acceleration using direction indication level in vehicle equiooed with automatic speed limiting apparatus and method of controlling acceralation using thereof | |
| US20180365992A1 (en) | System and method for assisting a driver of a motor vehicle in a traffic jam situation | |
| CN113386756B (en) | Vehicle following travel system, vehicle control device, vehicle, and vehicle control method | |
| JP2009099060A (en) | Driving support system | |
| CN111845594B (en) | Automobile fault processing method and device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20191210 |