CN115810269A - A vehicle driving assistance method, device and electronic equipment - Google Patents

Abstract

The application provides a vehicle driving assisting method, a vehicle driving assisting device and electronic equipment, wherein the method comprises the following steps: when the current journey starts, acquiring owner information and vehicle information of an owner; acquiring target driving behavior data in at least one section of historical travel corresponding to the vehicle information and closest to the current travel from the historical driving behavior data; calculating a total score of the current driving level representing the driving level based on the target driving behavior data and the vehicle owner information; determining the current driving level rating of the vehicle owner by using the total score of the current driving level; and determining a target auxiliary driving function corresponding to the current driving level rating, and performing personalized auxiliary driving on the vehicle owner by using the target auxiliary driving function. By adopting the vehicle driving assisting method, the vehicle driving assisting device and the electronic equipment, the problem that the adaptability of the driving assisting function is poor due to the fact that the drivers with different driving levels are assisted in a fixed single mode when driving assisting is carried out is solved.

Description

A vehicle driving assistance method, device and electronic equipment

technical field

The present application relates to the technical field of vehicle control, in particular, to a method, device and electronic equipment for vehicle assisted driving.

Background technique

Vehicles occupy an extremely important position in modern society. Vehicles have improved people's lifestyles and improved travel efficiency. Among them, the assisted driving system of the vehicle can improve the safety and comfort of the driver during driving. In the existing assisted driving system, the environmental data, the state data of the vehicle and the driver are obtained in real time through the sensor, and are processed by the computer and converted into Auxiliary control of the vehicle or a reminder to the driver to ensure driving safety as much as possible.

However, the assisted driving function in the prior art is preset when the vehicle leaves the factory, and the owner cannot independently choose the degree of assisted driving. Excessive assisted driving may cause interference for drivers with rich driving experience. Drivers may not be able to adjust the assisted driving function in time due to concentrating on driving or may cause traffic accidents due to insufficient reminders of the assisted driving function to the driver.

Contents of the invention

In view of this, the purpose of this application is to provide a vehicle assisted driving method, device and electronic equipment to solve the problem of assisting drivers with different driving levels in a fixed single mode, resulting in the assisted driving function The problem of poor adaptability.

In the first aspect, the embodiment of the present application provides a vehicle assisted driving method, including:

At the beginning of the current trip, obtain the owner's information and vehicle information of the owner;

Obtaining target driving behavior data corresponding to the vehicle information and within at least one historical trip closest to the current trip from the historical driving behavior data;

Based on the target driving behavior data and the owner's information, calculate the total score of the current driving level that represents the driving level;

Using the total score of the current driving level to determine the current driving level rating of the vehicle owner;

Determine the target assisted driving function corresponding to the current driving level rating, and use the target assisted driving function to perform personalized assisted driving for the car owner.

Optionally, the owner's information includes: gender, age, and driving experience; based on the target driving behavior data and the owner's information, calculate the current driving level total score representing the driving level, including: determine the driver's information score based on the owner's gender, age, and driving experience ; For each historical itinerary, determine multiple driving behavior scores corresponding to the target driving behavior data in the historical itinerary. The multiple driving behavior scores include driving behavior analysis scores, collision times scores, line-pressing times scores, and backing and warehousing time scores and mileage ratings.

Optionally, after determining a plurality of driving behavior scores corresponding to the target driving behavior data in the historical trip, it also includes: driving behavior analysis scores, collision times scores, line-crossing times scores and reversing traffic accidents corresponding to different sections of historical trips. library user scores and mileage scores, respectively determine the corresponding driving behavior analysis comprehensive score, collision times comprehensive score, line-pressing times comprehensive score, reversing time and mileage comprehensive score; driver information score, driving behavior analysis The comprehensive score, the comprehensive score of the number of collisions, the comprehensive score of the number of lines, the comprehensive score of the time spent in backing and warehousing, and the comprehensive score of the mileage are respectively multiplied by the scoring weights corresponding to the respective scoring items to obtain multiple driving level scores corresponding to different scoring items; The sum of the plurality of driving level scores is determined as the current driving level overall score.

Optionally, determining a plurality of driving behavior scores corresponding to the target driving behavior data in the historical itinerary includes: determining a plurality of driving behavior scores for the itinerary based on the target driving behavior data in the historical itinerary, and the driving scores for the multiple itineraries include: Timely score for turn signals, sharp turns, distance between vehicles, and speeding; determine the driving behavior analysis score for the historical trip based on multiple driving scores; score for each driving behavior except for the driving behavior analysis score item item, determine multiple scoring intervals corresponding to the driving behavior scoring item; obtain the single target behavior data corresponding to the driving behavior scoring item from the target driving behavior data, and determine the driving behavior scoring item based on the scoring interval corresponding to the single target behavior data Driving behavior score.

Optionally, determining the driving behavior analysis score of the historical itinerary based on the driving scores of the multiple trips includes: taking the average value of the driving scores of the owner's multiple itineraries as the total score of the driving itinerary of the historical itinerary; The total driving score of a historical itinerary, the other car owners are the owners who are on the same data platform as the car owner; according to the order of the score from high to low, the total driving score of the historical itinerary of the car owner and the total driving scores of multiple historical itineraries are placed in the Rank together; divide the total scores of all trips participating in the ranking into multiple trip driving ratings according to the preset ratio; determine the owner's driving behavior analysis score based on the corresponding trip driving ratings of the owner's trip driving total score.

Optionally, determining the target assisted driving function corresponding to the current driving level rating includes: determining the instrument panel mode corresponding to the current driving level rating; determining whether to voice remind the owner to switch to automatic driving when driving on the highway according to the current driving level rating Assist mode; determine the voice broadcast frequency corresponding to the current driving level rating; determine the push content corresponding to the current driving level rating.

Optionally, the car owner information includes a mobile phone number; after determining the pushed content corresponding to the current driving level rating, the method further includes: pushing the pushed content to a mobile terminal corresponding to the mobile phone number.

Optionally, using the current driving level total score to determine the current driving level rating of the car owner includes: determining a plurality of driving level scoring intervals, each driving level scoring interval corresponding to a driving level rating; determining the driving level corresponding to the driving level total score Rating range, the driving level rating corresponding to the driving level rating range is used as the current driving level rating.

In the second aspect, the embodiment of the present application also provides a device for assisting driving of a vehicle, the device comprising:

The information acquisition module is used to acquire the owner's information and vehicle information of the owner when the current journey starts;

A behavior data acquisition module, configured to acquire, from historical driving behavior data, target driving behavior data corresponding to vehicle information and within at least one historical journey closest to the current journey;

The score calculation module is used to calculate the total score of the current driving level representing the driving level based on the target driving behavior data and the owner's information;

The rating determination module is used to determine the current driving level rating of the car owner by using the total score of the current driving level;

The assisted driving module is used to determine the target assisted driving function corresponding to the current driving level rating, and use the target assisted driving function to perform personalized assisted driving for the car owner.

In the third aspect, the embodiment of the present application also provides an electronic device, including: a processor, a memory, and a bus, the memory stores machine-readable instructions executable by the processor, and when the electronic device is running, the processing The processor communicates with the memory through a bus, and when the machine-readable instructions are executed by the processor, the steps of the above-mentioned vehicle assisted driving method are executed.

The embodiment of the present application brings the following beneficial effects:

A vehicle assisted driving method, device and electronic equipment provided in the embodiments of the present application, the present application can obtain the target driving behavior data of the car owner according to the vehicle information, and score the current driving level of the car owner through the target driving behavior data and the car owner information. The score determines the driving level rating of the car owner, so as to determine the corresponding target assisted driving function according to the driving level rating of the car owner, and realizes the purpose of personalized assisted driving for car owners with different driving levels, which is different from the vehicle assisted driving method in the prior art. In comparison, when assisting drivers with different driving levels, they are all assisted in a single fixed mode, resulting in poor adaptability of the assisted driving function. In addition, according to the determined driving level rating, different assistance strategies can be adopted for different vehicle equipment, such as on-board voice equipment, instrument panel, etc., to provide car owners with more personalized assisted driving functions.

In order to make the above-mentioned purpose, features and advantages of the present application more comprehensible, preferred embodiments will be described in detail below together with the accompanying drawings.

Description of drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following will briefly introduce the accompanying drawings used in the embodiments. It should be understood that the following drawings only show some embodiments of the present application, so It should be regarded as a limitation on the scope, and those skilled in the art can also obtain other related drawings based on these drawings without creative work.

FIG. 1 shows a flow chart of a vehicle assisted driving method provided by an embodiment of the present application;

FIG. 2 shows a schematic structural diagram of a vehicle driving assistance device provided by an embodiment of the present application;

Fig. 3 shows a schematic structural diagram of an electronic device provided by an embodiment of the present application.

Detailed ways

In order to make the purpose, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only It is a part of the embodiments of this application, not all of them. The components of the embodiments of the application generally described and illustrated in the figures herein may be arranged and designed in a variety of different configurations. Accordingly, the following detailed description of the embodiments of the application provided in the accompanying drawings is not intended to limit the scope of the claimed application, but merely represents selected embodiments of the application. Based on the embodiments of the present application, every other embodiment obtained by those skilled in the art without making creative efforts falls within the protection scope of the present application.

It is worth noting that, before this application was filed, vehicles occupied an extremely important position in modern society, and vehicles improved people's lifestyles and improved travel efficiency. Among them, the assisted driving system of the vehicle can improve the safety and comfort of the driver during driving. In the existing assisted driving system, the environmental data, the state data of the vehicle and the driver are obtained in real time through the sensor, and are processed by the computer and converted into Auxiliary control of the vehicle or a reminder to the driver to ensure driving safety as much as possible. However, the assisted driving function in the prior art is preset when the vehicle leaves the factory, and the owner cannot independently choose the degree of assisted driving. Excessive assisted driving may cause interference for drivers with rich driving experience. Drivers may not be able to adjust the assisted driving function in time due to concentrating on driving or may cause traffic accidents due to insufficient reminders of the assisted driving function to the driver.

Based on this, an embodiment of the present application provides a vehicle assisted driving method, so as to improve the adaptability of the assisted driving function when performing assisted driving for drivers with different driving levels.

Please refer to FIG. 1 . FIG. 1 is a flow chart of a vehicle assisted driving method provided by an embodiment of the present application. As shown in Figure 1, the vehicle assisted driving method provided in the embodiment of the present application includes:

Step S101 , when the current trip starts, acquire the owner's information and vehicle information of the owner.

In this step, the current itinerary may refer to the itinerary corresponding to the current ignition cycle of the vehicle engine, that is, the distance traveled by the vehicle during the entire process from start to stop.

Car owner information can refer to the relevant information of the car owner. The car owner information is used to calculate the driver information score and obtain the mobile phone number to which the push content is sent. The car owner information includes but is not limited to: age, gender, driving experience, mobile phone number, car owner account, binding time of the vehicle.

Vehicle information may refer to vehicle model information and identification information, and vehicle information is used to obtain model function calibration and obtain target driving behavior data.

In the embodiment of this application, when the owner starts the vehicle, he will automatically log in the vehicle-machine system of the vehicle. The vehicle-machine system establishes communication with the cloud system and notifies the cloud system of the owner's login. After receiving the owner's login notification, the cloud system obtains the vehicle information of the vehicle. and owner information.

It should be noted that after a car owner purchases a vehicle, the car factory will report the car purchase information to the cloud. The car purchase information includes the owner's information and vehicle information, such as: age, gender, driving experience, model information, and identification information.

Step S102, acquiring target driving behavior data corresponding to the vehicle information and within at least one historical trip closest to the current trip from the historical driving behavior data.

In this step, the historical driving behavior data may refer to the driving behavior data generated by different car owners driving different vehicles in previous trips before the start of the current trip.

The target driving behavior data can refer to the historical driving behavior data generated by the car owner who started the current trip in several trips, and the target driving behavior data is used to calculate the driving behavior data of the car owner's current driving level.

Exemplarily, the several trips may be the previous trip closest to the current trip, or may be the previous several trips closest to the current trip.

In this embodiment of the application, before the start of the current trip, different vehicles will generate driving behavior data in previous trips, and these driving behavior data will be uploaded to the cloud through the T-BOX (Internet of Vehicles Control Unit) of each vehicle for The cloud uses these historical driving behavior data to calculate the current driving level of different car owners.

Therefore, in order to determine the current driving level of the current car owner, it is necessary to obtain the historical driving behavior data corresponding to the car owner, and select the data in several historical trips closest to the current trip from the historical driving behavior data corresponding to the car owner as the target driving behavior Data, here, it is not appropriate to select the driving behavior data corresponding to the historical itinerary that is too far away from the current itinerary as the target driving behavior data, otherwise the accuracy of the judgment will be affected. Wherein, the specific number of segments of several sections of historical itinerary is pre-set, which can be the last ten sections of historical itinerary before the current itinerary, or the last twenty sections of historical itinerary before the current itinerary, those skilled in the art can according to the actual situation The number of segments is selected, which is not limited in this application.

Step S103, based on the target driving behavior data and the owner's information, calculate the total score of the current driving level representing the driving level.

In this step, the total score of the current driving level may refer to a score for evaluating the current driving level of the car owner.

The higher the total score of the current driving level, the better the current driving level of the owner, and the lower the total score of the current driving level, the worse the current driving level of the owner.

In an optional embodiment, the owner's information includes: gender, age, and driving age; based on the target driving behavior data and the owner's information, calculating the current driving level total score representing the driving level includes: based on the owner's gender, age, and driving age, determining Driver information scoring; for each historical itinerary, determine multiple driving behavior scores corresponding to the target driving behavior data in the historical itinerary. The multiple driving behavior scores include driving behavior analysis scores, collision times scores, line-breaking times scores, and reversing Scoring of storage time and mileage.

Here, the total current driving level score includes a driver information score and multiple driving behavior scores, wherein the driver information score and the multiple driving behavior scores are scoring results of the driving level scoring item.

The driving behavior analysis score may refer to a DBA (Driving Behavior Analysis) score, which is used to score bad driving behaviors.

The number of collisions score is used to score how many collisions occurred.

The score of the number of times of pressing the line is used to score the behavior of illegally occupying the traffic line.

The scoring of the time spent in backing into the garage is used to score the proficiency in backing into the garage, where the time spent in backing up refers to the average time spent in backing into the garage.

Mileage scoring may refer to scoring the mileage length of a trip.

Specifically, when calculating the score of driver information, the score is calculated from the three dimensions of gender, age, and driving experience, and corresponding scores can be set for different genders, age groups, or driving years. Taking the dimension of gender as an example, the score for men is 5, and the score for women is 3; taking the dimension of driving experience as an example, 1 point for driving experience within 1 year, 4 points for driving experience greater than 1 year; 6 points for 20 years old and above, and if the car owner is a 20-year-old male with 2 years of driving experience, the driver information score is 6+5+4=15.

When calculating multiple driving behavior scores, for each driving behavior score item, calculate the driving behavior score of the driving behavior score item in each historical trip, and then based on the multiple driving behavior scores of the driving behavior score item in different historical trips , to determine the comprehensive score of the driving behavior scoring item. Among them, the driving behavior scoring items include: driving behavior analysis scoring items, collision frequency scoring items, line pressing frequency scoring items, time spent backing into storage, and driving mileage scoring items.

Finally, the total score of the current driving level is determined from multiple comprehensive scores of different driving behavior score items and the driver information score.

In an optional embodiment, after determining a plurality of driving behavior scores corresponding to the target driving behavior data in the historical journey, it also includes: driving behavior analysis scores, collision times scores, and line-crossing times corresponding to different historical journeys. Scores, user scores and mileage scores for reversing and warehousing, determine the corresponding driving behavior analysis comprehensive score, collision times comprehensive score, line pressing times comprehensive score, reversing and warehousing time comprehensive score and mileage comprehensive score; driver information score , comprehensive score of driving behavior analysis, comprehensive score of collision times, comprehensive score of line-crossing times, comprehensive score of reversing and warehousing time, and comprehensive score of driving mileage are respectively multiplied by the scoring weights corresponding to the respective scoring items to obtain multiple scores corresponding to different scoring items. Driving level score; the sum of multiple driving level scores is determined as the current driving level total score.

Here, the comprehensive score may refer to a score obtained by combining the scores of several historical itineraries.

Specifically, for each driving behavior score item, a historical itinerary weight is set for different sections of the historical itinerary of the driving behavior scoring item, and the weight of the historical itinerary farther away from the current itinerary is smaller. The score is multiplied by the weight of the corresponding historical itinerary, and the sum of multiple products is used as the comprehensive score of the driving behavior scoring item.

Taking the scoring items of driving behavior analysis as an example, assuming that a total of 3 historical itineraries are selected, these 3 historical itineraries are in order from farthest to the current itinerary, and the corresponding driving behavior analysis scores are 30, 60, 50, and the corresponding The weights of historical trips are 0.2, 0.3, and 0.5 in turn, and the comprehensive score of driving behavior analysis is 30×0.2+60×0.3+50×0.5=49. Wherein, the specific values of different historical trip weights can be set according to actual conditions, which are not limited in this application.

According to the above method, the comprehensive score of each driving behavior scoring item can be determined, and then the respective scoring weights of different driving level scoring items can be determined, and the driver information score and multiple driving behavior scores can be multiplied by the corresponding scoring weights respectively. The sum of multiple products is used as the total score of the current driving level.

Assume that the scoring weight of each driving level scoring item is 20%, the driver information score is 20, the comprehensive score of driving behavior analysis is 25, the comprehensive score of collision times is 30, the comprehensive score of line pressing times is 40, and the comprehensive score of reversing and storage time is 20%. If the score is 20 and the comprehensive mileage score is 30, then the total score of the current driving level is 20×0.2+25×0.2+30×0.2+40×0.2+20×0.1+30×0.1=28.

In an optional embodiment, determining the multiple driving behavior scores corresponding to the target driving behavior data in the historical itinerary includes: determining the driving scores for multiple itineraries based on the target driving behavior data in the historical itinerary. The driving score includes: turn signal timely score, sharp turn score, vehicle distance keeping score and speeding score; determine the driving behavior analysis score of the historical trip based on multiple trip driving scores; A driving behavior scoring item, determine multiple scoring intervals corresponding to the driving behavior scoring item; obtain the single target behavior data corresponding to the driving behavior scoring item from the target driving behavior data, and determine the driving behavior based on the scoring interval corresponding to the single target behavior data. The driving behavior score of the behavior score item.

Here, the turn signal timely score is used to score the behavior of not turning on the turn signal in time when the vehicle is turning. The turn signal is an important indicator light that is turned on when the motor vehicle turns to prompt the attention of the front, rear, left, and right vehicles and pedestrians.

The sharp turn score is used to score the sharp turn behavior of the vehicle while driving. A sharp turn refers to the situation where the vehicle is too fast during the steering process, causing the vehicle to approach out of control, inducing the intervention of the electronic system or causing a significant perceivable impact on the ride comfort of the passengers in the vehicle. There are two ways to identify sharp turns: one is when the lateral acceleration of the vehicle exceeds 0.5G (can be calibrated), it is judged that a sharp turn occurs once; the other is when the vehicle speed exceeds 30km/h (can be calibrated), ESC /ESP or TCS intervenes, that is, it is determined that a sharp turn occurs once.

The distance keeping score is used to score the behavior of improper distance keeping during vehicle driving. Improper distance between vehicles refers to the behavior that the distance between the vehicle and the vehicle in front is too close to cause sudden braking or other dangerous situations during driving. There are two ways to identify improper distance between vehicles: one is when the longitudinal acceleration of the vehicle exceeds -0.5G (can be calibrated), it is determined that the distance between vehicles is improperly maintained once; the other is that the vehicle infotainment system receives FCA or The AEB trigger signal is to determine that the distance between vehicles is not kept properly.

The speeding score is used to score the speeding behavior of the vehicle during driving. Speeding refers to the behavior of a vehicle exceeding the prescribed speed when passing a speed-limited road section.

The single target behavior data is the data in the target driving behavior data. Each driving behavior scoring item other than the driving behavior analysis score corresponds to a single target behavior data. Taking the collision count scoring item as an example, it corresponds to the single target of the number of collisions. behavioral data.

Specifically, the four scores can be calculated by the following formulas:

Turn signal timely score = (1-(unlit rate-lowest value)/(highest value-lowest value))×100;

Sharp turn score = (1-(sharp turn rate-lowest value)/(highest value-lowest value))×100;

Vehicle distance maintenance score = (1-(improper vehicle distance maintenance rate-lowest value)/(highest value-lowest value))×100;

Speeding score = (1-(average speeding percentage-lowest value)/(highest value-lowest value))×100;

The calculation process of the formula is explained below. Take the timely score of the turn signal as an example. The background server stores the minimum value and the maximum value. Assume that the minimum value is 0% and the maximum value is 20%. If the owner is on the trip If the rate of non-lights is 5%, the formula can be used to calculate the score of 75 points. The high score is because the score is aimed at bad driving behavior. The lowest value of 100% means that the person has not turned on the lights in 100% of the cases. , 0% means that the car owner turns on the lights every time.

Taking the speeding score as an example, the speeding percentage refers to whether the maximum speed per hour exceeds the speed limit of the current road section when the vehicle passes through a certain electronic eye road section (usually closed roads are 700 meters in front of the electronic eyes, and urban roads are 300 meters in front of the electronic eyes). percentage. At the end of the trip, average all overspeed percentages for that trip to obtain the average overspeed percentage. The background server will save the average speeding percentage of all car owners for each trip. The lowest value of the first trip is 100% sub-baseline, and the highest value is 0% sub-baseline. . The baseline is updated at 00:00 on the first natural day of each natural month, and the interval in which the overspeed coefficient generated by the owner determines its final score, for example: the lowest value of the background server is 0%, the highest value is 50%, If the average speeding percentage of the car owner's current trip is 10%, the user's score for this item is 80 points.

When calculating each driving behavior score except the driving behavior analysis scoring item, the scoring interval of each driving behavior scoring item except the driving behavior analysis scoring item can be set according to the following standards:

Scoring items for the number of collisions: 0 times 12 points, 1-2 times 7 points, more than 2 times 1 point;

Score items for crimping times: 12 points for 0 times, 7 points for 1-2 times, 1 point for more than 2 times;

Score items for the time spent in reversing into the warehouse: 6 points within 3 minutes, 3 points for 3-5 minutes, and 1 point for more than 5 minutes;

Score items for mileage: 6 points for more than 30,000 kilometers, 3 points for 10,000-30,000 kilometers, and 1 point for less than 10,000 kilometers.

If the driving behavior data of the driving behavior scoring item other than the driving behavior analysis scoring item falls into the corresponding scoring interval, the score corresponding to the scoring interval will be used as the driving behavior scoring item, for example: the number of times the line is pressed The corresponding individual target behavior data is the number of times of pressing the line. If the number of times of pressing the line is 2, the score of the number of times of pressing the line is 7 points.

In an optional embodiment, determining the driving behavior analysis score of the historical itinerary based on the driving scores of the multiple trips includes: taking the average value of the driving scores of the owner's multiple itineraries as the total score of the driving itinerary of the historical itinerary; obtaining other The total driving scores of multiple historical trips corresponding to the car owner. Other car owners are car owners who are on the same data platform as the car owner. The total score is put together for ranking; the total score of all trips participating in the ranking is divided into multiple trip driving ratings according to the preset ratio; based on the trip driving rating corresponding to the owner's trip driving total score, the driving behavior of the car owner is determined Analysis score.

Here, multiple historical trip driving total scores can refer to each other car owner, and each historical trip of the other car owner corresponds to a historical trip driving total score, so that one other car owner corresponds to multiple historical trip driving total scores. score.

Specifically, for each historical itinerary, after determining the timely score of the turn signal, sharp turn score, distance between vehicles and speeding score in the historical itinerary, the average value of these driving scores is calculated, and the average value is used as the total driving score of the itinerary. Scoring, the total driving score of the car owner is combined with the total driving scores of other car owners in history, and the higher the score, the higher the ranking. Then, with 25% as the interval division standard, all the scores participating in the ranking are divided into 4 travel driving scoring grades. Assuming that there are 100 scores in total, 1 to 25 is S grade, and 26 to 50 is A grade. By analogy, determine the car owner's driving score level for the itinerary. At the same time, set the driving score level for each trip, for example: S-level 10 points, A-level 6 points, B-level 3 points, C-level 1 point, if the owner is A-level, the driving behavior analysis score is 6 points.

Step S104, using the total score of the current driving level to determine the current driving level rating of the car owner.

In this step, the current driving level rating is used to represent the current driving level of the car owner. A higher rating indicates a higher driving level of the owner, and a lower rating indicates a lower driving level.

In an optional embodiment, using the current driving level total score to determine the current driving level rating of the car owner includes: determining a plurality of driving level scoring intervals, each driving level scoring interval corresponding to a driving level rating; determining the driving level total score For the corresponding driving level rating interval, use the driving level rating corresponding to the driving level rating interval as the current driving level rating.

Specifically, three driving level scoring intervals can be divided, and these three driving level scoring intervals correspond to the three ratings of novice level, intermediate level, and advanced level according to the interval scores from low to high. Assume that the novice level score range is: total score of current driving level ≤ 30, the score range of intermediate level is: 30< total score of current driving level ≤ 70, and the score range of advanced level is: total score of current driving level > 70, if the owner The total score of the current driving level of the car is 80, which means that the owner is an advanced driving level.

Step S105, determine the target assisted driving function corresponding to the current driving level rating, and use the target assisted driving function to perform personalized assisted driving for the car owner.

In this step, different current driving level ratings correspond to different target assisted driving functions, so as to provide different assisted driving functions for car owners with different driving levels.

In an optional embodiment, determining the target assisted driving function corresponding to the current driving level rating includes: determining the instrument panel mode corresponding to the current driving level rating; The car owner switches the automatic driving assistance mode; determines the voice broadcast frequency corresponding to the current driving level rating; determines the push content corresponding to the current driving level rating.

Specifically, for the instrument panel function, if the car owner is a novice driver, the novice mode instrument panel is displayed, and the novice mode instrument panel displays the following information: power, vehicle speed, battery capacity, fuel level, and direction lights. If the car owner is at the novice driving level, the novice mode instrument panel is displayed, and only the following information is displayed in the novice mode instrument panel: power, vehicle speed, battery capacity, fuel quantity, and direction lights. If the car owner has an intermediate driving level, the intermediate mode instrument panel is displayed. In addition to displaying the information in the novice mode instrument panel, the intermediate mode instrument panel can also display phone calls, music widgets, etc. If the car owner is at an advanced driving level, the advanced mode dashboard is displayed, and the advanced mode dashboard can be customized by the user to display any components that support screen projection.

For the voice reminder function when driving on the expressway, if the car owner is a novice driver, he can make multiple voice reminders to switch to the automatic driving assistance mode when the vehicle is driving on the expressway; if the car owner is an intermediate driver, he can When the vehicle is driving on the expressway, the owner will be reminded to switch to the automatic driving assistance mode once; if the owner is an advanced driver, he can not actively voice remind the owner to switch to the automatic driving assistance mode when the vehicle is driving on the expressway.

For the voice broadcast function, if the car owner is a novice driver, he can open the whole process for the same voice broadcast while the vehicle is driving; A small number of reminders; if the owner is an advanced driver, he can only give one reminder for the same voice broadcast during the driving of the vehicle.

For the content push function, if the car owner is at the novice driving level, the car owner's manual and maintenance knowledge content can be pushed; if the car owner is at the intermediate driving level, the vehicle experience and experience content can be pushed; Then you can push the high-level gameplay content of the vehicle.

In an optional embodiment, the vehicle owner information includes a mobile phone number; after determining the pushed content corresponding to the current driving level rating, the method further includes: pushing the pushed content to a mobile terminal corresponding to the mobile phone number.

Specifically, the obtained car owner information includes the car owner's mobile phone number, and the push content can be sent to the mobile phone number so that the car owner can view it.

Compared with the vehicle assisted driving method in the prior art, this application can obtain the target driving behavior data of the car owner according to the vehicle information, score the current driving level of the car owner through the target driving behavior data and the car owner information, and use the score to determine the driving behavior of the car owner. Level rating, to determine the corresponding target assisted driving function according to the driving level rating of the car owner, and realize the purpose of personalized assisted driving for car owners with different driving levels Assisting in a fixed single mode leads to poor adaptability of the assisted driving function. In addition, according to the determined driving level rating, different assistance strategies can be adopted for different vehicle equipment, such as on-board voice equipment, instrument panel, etc., to provide car owners with more personalized assisted driving functions.

Based on the same inventive concept, the embodiment of the present application also provides a vehicle assisted driving device corresponding to the vehicle assisted driving method. Since the principle of solving the problem of the device in the embodiment of the present application is similar to the above-mentioned vehicle assisted driving method in the embodiment of the present application, therefore For the implementation of the device, reference may be made to the implementation of the method, and repeated descriptions will not be repeated.

Please refer to FIG. 2 . FIG. 2 is a schematic structural diagram of a vehicle driving assistance device provided by an embodiment of the present application. As shown in Figure 2, the vehicle driving assistance device 200 includes:

The information acquisition module 201 is used to acquire the owner's information and vehicle information of the owner when the current trip starts;

Behavior data acquisition module 202, used to obtain from the historical driving behavior data corresponding to the vehicle information and the target driving behavior data in at least one historical trip closest to the current trip;

Score calculation module 203, for calculating the current driving level total score representing driving level based on target driving behavior data and car owner information;

The rating determination module 204 is used to determine the current driving level rating of the car owner by using the current driving level total score;

The assisted driving module 205 is configured to determine the target assisted driving function corresponding to the current driving level rating, and use the target assisted driving function to perform personalized assisted driving for the vehicle owner.

Please refer to FIG. 3 . FIG. 3 is a schematic structural diagram of an electronic device provided by an embodiment of the present application. As shown in FIG. 3 , the electronic device 300 includes a processor 310 , a memory 320 and a bus 330 .

The memory 320 stores machine-readable instructions executable by the processor 310. When the electronic device 300 is running, the processor 310 communicates with the memory 320 through the bus 330, and the machine-readable instructions are executed by When the processor 310 executes, it can execute the steps of the vehicle assisted driving method in the method embodiment shown in FIG. 1 above. For the specific implementation, please refer to the method embodiment, which will not be repeated here.

Those skilled in the art can clearly understand that for the convenience and brevity of the description, the specific working process of the above-described system, device and unit can refer to the corresponding process in the foregoing method embodiment, which will not be repeated here.

In the several embodiments provided in this application, it should be understood that the disclosed systems, devices and methods may be implemented in other ways. The device embodiments described above are only illustrative. For example, the division of the units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components can be combined or May be integrated into another system, or some features may be ignored, or not implemented. In another point, the mutual coupling or direct coupling or communication connection shown or discussed may be through some communication interfaces, and the indirect coupling or communication connection of devices or units may be in electrical, mechanical or other forms.

The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place, or may be distributed to multiple network units. Part or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, each unit may exist separately physically, or two or more units may be integrated into one unit.

If the functions are realized in the form of software function units and sold or used as independent products, they can be stored in a non-volatile computer-readable storage medium executable by a processor. Based on this understanding, the technical solution of the present application is essentially or the part that contributes to the prior art or the part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including Several instructions are used to make a computer device (which may be a personal computer, a server, or a network device, etc.) execute all or part of the steps of the methods described in the various embodiments of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (Read-Only Memory, ROM), random access memory (Random Access Memory, RAM), magnetic disk or optical disk, and other media that can store program codes.

Finally, it should be noted that: the above-described embodiments are only specific implementations of the application, used to illustrate the technical solutions of the application, rather than limiting it, and the scope of protection of the application is not limited thereto, although referring to the aforementioned The embodiment has described this application in detail, and those of ordinary skill in the art should understand that any person familiar with this technical field can still modify the technical solutions described in the foregoing embodiments within the technical scope disclosed in this application Changes can be easily imagined, or equivalent replacements can be made to some of the technical features; and these modifications, changes or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the application, and should be covered by this application. within the scope of protection. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims (10)

1. A vehicle assisted driving method, characterized in that, comprising: At the beginning of the current trip, obtain the owner's information and vehicle information of the owner; Obtaining target driving behavior data corresponding to the vehicle information and within at least one historical trip closest to the current trip from the historical driving behavior data; Based on the target driving behavior data and the owner information, calculate the current driving level total score representing the driving level; Using the total score of the current driving level to determine the current driving level rating of the owner; Determine the target assisted driving function corresponding to the current driving level rating, and use the target assisted driving function to perform personalized assisted driving for the vehicle owner. 2. The method according to claim 1, wherein the car owner information includes: gender, age and driving experience; The calculation of the total score of the current driving level representing the driving level based on the target driving behavior data and the owner's information includes: Based on the gender, age and driving experience of the car owner, determine the driver information score; For each historical itinerary, determine a plurality of driving behavior scores corresponding to the target driving behavior data in the historical itinerary, and the plurality of driving behavior scores include driving behavior analysis scores, collision times scores, line-pressing times scores, and time for backing into the garage Scoring and mileage scoring. 3. The method according to claim 2, further comprising: Based on the driving behavior analysis scores, collision times scores, line-pressing times scores, reversing warehousing user scores, and mileage scores corresponding to different historical trips, the corresponding driving behavior analysis comprehensive scores, collision times comprehensive scores, and line-pressing times comprehensive scores are respectively determined. Score, comprehensive score for reversing and warehousing time, and comprehensive score for mileage; The driver information score, the comprehensive score of the driving behavior analysis, the comprehensive score of the number of collisions, the comprehensive score of the number of line-pressing times, the comprehensive score of the time spent in backing and warehousing, and the comprehensive score of the mileage are respectively compared with their respective The scoring weights corresponding to the scoring items are multiplied to obtain multiple driving level scores corresponding to different scoring items; The sum of the plurality of driving level scores is determined as the current driving level overall score. 4. The method according to claim 2, wherein said determination of a plurality of driving behavior scores corresponding to the target driving behavior data in the section of historical travel comprises: Based on the target driving behavior data in the historical itinerary, a plurality of driving scores for the itinerary are determined, and the driving scores for the multiple itineraries include: timely score for turn signal, sharp turn score, vehicle distance maintenance score and speeding score; Determine the driving behavior analysis score of the historical trip based on multiple trip driving scores; For each driving behavior scoring item except the driving behavior analysis scoring item, determine a plurality of scoring intervals corresponding to the driving behavior scoring item; The single target behavior data corresponding to the driving behavior scoring item is obtained from the target driving behavior data, and the driving behavior score of the driving behavior scoring item is determined based on the scoring interval corresponding to the single target behavior data. 5. The method according to claim 4, wherein said determining the driving behavior analysis score of the historical trip based on a plurality of trip driving scores comprises: The average value of the driving scores of multiple trips of the car owner is taken as the total score of the trip driving of the historical trip; Obtaining the total driving scores of multiple historical trips corresponding to other car owners, the other car owners are car owners who are on the same data platform as the car owner; According to the order of scoring from high to low, the total driving score of the said car owner's historical itinerary and the total driving scores of multiple historical itineraries are put together for ranking; Divide the total score of all trips participating in the ranking into multiple trip driving ratings according to the preset ratio; The driving behavior analysis score of the car owner is determined based on the driving score grade corresponding to the total driving score of the car owner. 6. The method according to claim 1, wherein the determining the target assisted driving function corresponding to the current driving level rating comprises: determining the dashboard mode corresponding to the current driving level rating; According to the current driving level rating, determine whether to voice remind the owner to switch the automatic driving assistance mode when driving on the highway; Determine the voice broadcast frequency corresponding to the current driving level rating; Determine the feed content that corresponds to the current driving level rating. 7. The method according to claim 6, wherein the vehicle owner information includes a mobile phone number; After the determination of the push content corresponding to the current driving level rating, it also includes: Pushing the push content to the mobile terminal corresponding to the mobile phone number. 8. The method according to claim 1, wherein the determining the current driving level rating of the car owner by using the total score of the current driving level comprises: Determining multiple driving level scoring intervals, each driving level scoring interval corresponds to a driving level rating; Determine the driving level rating interval corresponding to the driving level total score, and use the driving level rating corresponding to the driving level rating interval as the current driving level rating. 9. A vehicle driving assistance device, characterized in that it comprises: The information acquisition module is used to acquire the owner's information and vehicle information of the owner when the current journey starts; A behavior data acquisition module, configured to acquire, from historical driving behavior data, target driving behavior data corresponding to the vehicle information and within at least one historical journey closest to the current journey; A score calculation module, configured to calculate a total score of the current driving level representing the driving level based on the target driving behavior data and the owner information; A rating determination module, configured to determine the current driving level rating of the car owner by using the total score of the current driving level; The assisted driving module is used to determine the target assisted driving function corresponding to the current driving level rating, and use the target assisted driving function to perform personalized assisted driving for the vehicle owner. 10. An electronic device, comprising: a processor, a storage medium and a bus, the storage medium stores machine-readable instructions executable by the processor, and when the electronic device is running, the processor and The storage media communicate with each other through a bus, and the processor executes the machine-readable instructions to execute the steps of the vehicle assisted driving method according to any one of claims 1-8.

Images