CN112644514B

CN112644514B - Driving data processing method, device, equipment, storage medium and program product

Info

Publication number: CN112644514B
Application number: CN202011641446.4A
Authority: CN
Inventors: 何裕康; 梁冠华; 毛宁元; 许亮
Original assignee: Shanghai Sensetime Lingang Intelligent Technology Co Ltd
Current assignee: Shanghai Lingang Jueying Intelligent Technology Co ltd
Priority date: 2020-12-31
Filing date: 2020-12-31
Publication date: 2022-05-10
Anticipated expiration: 2040-12-31
Also published as: CN112644514A; WO2022143425A1

Abstract

The application provides a method, a device, equipment, a storage medium and a program product for processing driving data, wherein the method comprises the following steps: acquiring target running environment information corresponding to a driver; acquiring current running environment information of a current trip of a driver; and outputting driving reminding information under the condition that the current driving environment information is matched with the target driving environment information. In the application, when a driver drives a vehicle, the target driving environment information corresponding to the driver is firstly acquired, the target driving environment information comprises the driving environment information corresponding to the driving data meeting the preset risk condition in the historical driving data of the driver, and in the driving process, the current driving environment information of the current journey is compared with the target driving environment information, and the driving reminding information is output under the condition that the current driving environment information is matched with the target driving environment information, so that the driving reminding of different drivers can be more accurately and pertinently carried out.

Description

Driving data processing method, device, equipment, storage medium and program product

Technical Field

The present application relates to the field of intelligent transportation technologies, and in particular, to a method, an apparatus, a device, a storage medium, and a program product for processing driving data.

Background

With the rapid development of modern transportation and automobile industry, the automobile holding amount is in a state of continuously rising, but the number of traffic accidents is also continuously increasing. When a driver drives a vehicle, the condition of road conditions is the main reason influencing the occurrence rate of traffic accidents, and when the condition of road is worse, the probability of the occurrence of traffic accidents is greatly improved.

In the prior art, the road condition is collected through a driving auxiliary tool, and then the road condition reminding is carried out on a driver based on the quality of the road condition so as to avoid traffic accidents.

The existing driving assisting tool generally adopts a uniform judgment standard to judge whether the road condition is good or bad, however, different drivers have different driving levels and different corresponding capabilities to the same road condition, so that different drivers have different requirements for road condition reminding, and the existing road condition reminding method has the problem of low pertinence.

Disclosure of Invention

The application provides a driving data processing method, a driving data processing device, a driving data processing equipment, a driving data processing storage medium and a driving data processing program product, which are used for solving the problem of low road condition reminding pertinence in the prior art.

In a first aspect, the present application provides a method for processing driving data, including:

acquiring target running environment information corresponding to a driver, wherein the target running environment information comprises running environment information corresponding to driving data meeting preset risk conditions in historical driving data of the driver;

acquiring current running environment information of the current trip of the driver;

and outputting driving reminding information under the condition that the current driving environment information is matched with the target driving environment information.

In some embodiments, the obtaining of the target driving environment information corresponding to the driver includes:

identifying the identity of the driver to obtain the identity information of the driver;

the identity information of the driver is sent to a driver information management system, and the driver information management system stores target running environment information corresponding to the driver;

and receiving target running environment information corresponding to the driver, which is issued by the driver information management system based on the identity information.

In some embodiments, the target driving environment information corresponding to the driver is determined as follows:

acquiring historical driving data of a driver and historical driving environment information corresponding to the historical driving data;

determining driving data which meet preset risk conditions in the historical driving data;

determining historical driving environment information corresponding to the driving data meeting the preset risk condition as target driving environment information corresponding to the driver;

and constructing a driver file corresponding to the driver based on the historical driving data of the driver, historical driving environment information corresponding to the historical driving data, the driving data meeting the preset risk condition and the target driving environment information corresponding to the driver.

In some embodiments, the historical driving data of the driver and the historical driving environment information corresponding to the historical driving data are obtained by an advanced driver assistance system ADAS and/or a driver monitoring system DMS.

In some embodiments, the driving data meeting the preset risk condition comprises at least one of:

first driving data in a case where the driving speed is lower than a first threshold;

second driving data in the case where the speed of acceleration exceeds a second threshold;

third driving data in a case where the speed of deceleration exceeds a third threshold;

fourth driving data in a case where a change speed of the steering angle of the vehicle exceeds a fourth threshold value;

fifth driving data in a case where the speed at which the vehicle cuts the lane exceeds a fifth threshold.

In some embodiments, the method further comprises:

in response to the fact that a driver enters a vehicle cabin and starts a vehicle, identity recognition is carried out on the driver, and identity information of the driver is obtained;

acquiring driving data of the driver and driving environment information in a journey where the driver drives the vehicle;

uploading driving data of the driver and driving environment information in a journey of the driver driving the vehicle to a driver information management system; the driver information management system updates the target running environment information corresponding to the driver according to the driving data of the driver and the running environment information in the journey of the driver driving the vehicle, and stores the running environment information in the journey of the driver driving the vehicle and the updated target running environment information into a driver file corresponding to the driver.

In some embodiments, the driving environment information includes at least one of: road condition information, weather information, lane line information, traffic sign information and traffic signal light information.

In some embodiments, the outputting of the driving alert information in the case where the current driving environment information matches the target driving environment information includes at least one of:

when the target driving environment information is the driving environment information corresponding to the first driving data, outputting driving speed reminding information;

when the target driving environment information is the driving environment information corresponding to the second driving data, outputting rapid acceleration reminding information;

when the target driving environment information is driving environment information corresponding to the third driving data, outputting rapid deceleration reminding information;

when the target driving environment information is the driving environment information corresponding to the fourth driving data, outputting sharp turn reminding information;

and outputting quick lane change reminding information when the target driving environment information is the driving environment information corresponding to the fifth driving data.

In some embodiments, further comprising:

acquiring current state information of the driver;

under the condition that the current running environment information is matched with the target running environment information, outputting driving reminding information, wherein the driving reminding information comprises:

and under the condition that the current driving environment information is matched with the target driving environment information, responding to the current state of the driver as a preset dangerous driving state, and outputting driving reminding information.

In some embodiments, the method further comprises:

acquiring current image data of the driver;

detecting a current state of the driver based on the current image data.

In some embodiments, the preset dangerous driving condition comprises at least one of: the time that the head offset angle exceeds the first angle threshold reaches a second preset time period.

In a second aspect, the present application provides a driving data processing apparatus, comprising:

the system comprises a first acquisition module, a second acquisition module and a third acquisition module, wherein the first acquisition module is used for acquiring target running environment information corresponding to a driver, and the target running environment information comprises running environment information corresponding to driving data which meet preset risk conditions in historical driving data of the driver;

the second acquisition module is used for acquiring the current running environment information of the current trip of the driver;

and the driving reminding module is used for outputting driving reminding information under the condition that the current driving environment information is matched with the target driving environment information.

In a third aspect, the present application provides a computer device comprising: the driving data processing method comprises a memory, a processor and a computer program which is stored on the memory and can run on the processor, wherein the processor realizes the driving data processing method when executing the program.

In a fourth aspect, the present application provides a computer-readable storage medium, in which computer-executable instructions are stored, and the computer-executable instructions are executed by a processor to implement the above-mentioned processing method for driving data.

In a fifth aspect, the present application provides a computer program product comprising a computer program which, when executed by a processor, implements the method of processing driving data described above.

The application provides a method, a device, equipment, a storage medium and a program product for processing driving data, wherein the method comprises the following steps: acquiring target driving environment information corresponding to a driver, wherein the target driving environment information comprises driving environment information corresponding to driving data meeting preset risk conditions in historical driving data of the driver; acquiring current running environment information of a current trip of a driver; and outputting driving reminding information under the condition that the current driving environment information is matched with the target driving environment information. In the application, when a driver drives a vehicle, the target driving environment information corresponding to the driver is firstly acquired, the target driving environment information comprises the driving environment information corresponding to the driving data meeting the preset risk condition in the historical driving data of the driver, in the driving process, the current driving environment information of the current journey is compared with the target driving environment information, and the driving reminding information is output under the condition that the current driving environment information is matched with the target driving environment information, so that the driving reminding can be more accurate and more targeted to different drivers, and the driving reminding flexibility is improved.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and together with the description, serve to explain the principles of the disclosure.

Fig. 1 is a schematic diagram of a driving data processing device provided in an embodiment of the present application;

FIG. 2 is a schematic diagram of a processing method of driving data provided by an embodiment of the present application;

fig. 3 is a schematic flowchart of a process of acquiring target driving environment information corresponding to a driver in an embodiment of the present application;

FIG. 4 is a schematic flowchart illustrating a process of determining target driving environment information corresponding to a driver in an embodiment of the present application;

FIG. 5 is a schematic diagram of a device for processing driving data according to an embodiment of the present disclosure;

fig. 6 is a schematic structural diagram of a computer device according to an embodiment of the present application.

With the foregoing drawings in mind, certain embodiments of the disclosure have been shown and described in more detail below. These drawings and written description are not intended to limit the scope of the disclosed concepts in any way, but rather to illustrate the concepts of the disclosure to those skilled in the art by reference to specific embodiments.

Detailed Description

In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. 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 invention.

The terminology used in the embodiments of the present application is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in the embodiments of the present application, the singular forms "a", "an" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.

It should be understood that the term "and/or" as used herein is merely one type of association that describes an associated object, meaning that three relationships may exist, e.g., a and/or B may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" herein generally indicates that the former and latter related objects are in an "or" relationship.

The words "if", as used herein, may be interpreted as "at … …" or "at … …" or "in response to a determination" or "in response to a detection", depending on the context. Similarly, the phrases "if determined" or "if detected (a stated condition or event)" may be interpreted as "when determined" or "in response to a determination" or "when detected (a stated condition or event)" or "in response to a detection (a stated condition or event)", depending on the context.

It is also noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a good or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such good or system. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of additional like elements in the article or system in which the element is included.

The existing driving assisting tool generally adopts a uniform judgment standard to judge whether the road condition is good or bad, however, different drivers have different driving levels and different corresponding capabilities to the same road condition, so that different drivers have different requirements for road condition reminding.

For example, for a certain road segment containing a turn, the user a with a higher driving level may respond to the turn in time so as to smoothly pass through the road segment, and the user B with a lower driving level may not respond in time so as to possibly cause a safety accident.

For the road section, the existing driving assisting tool can simultaneously remind the user A and the user B of turning, however, the user A can timely react to the situations, and therefore the turning reminding can not be carried out on the user A so as to reduce unnecessary reminding.

For another example, for a certain road section containing a small pit, the user C with a common driving level may respond to the small pit in time so as to smoothly pass through the road section, and the user D with a low driving level may not respond in time so as to possibly cause a safety accident.

For the road section, the existing driving assistance tool cannot remind the user C and the user D, however, since the user D may not be able to react in time, it is necessary to remind the user D of the road condition of the road section.

Therefore, the existing road condition reminding method has the problem of low pertinence.

The application provides a driving data processing method, a driving data processing device, a driving data processing equipment, a storage medium and a program product, and aims to solve the technical problems in the prior art. The application provides a method, a device, equipment, a storage medium and a program product for processing driving data, wherein when a driver drives a vehicle, target driving environment information corresponding to the driver is firstly acquired, the target driving environment information comprises driving environment information corresponding to driving data which meets preset risk conditions in historical driving data of the driver, and in the driving process, the current driving environment information of a current trip is compared with the target driving environment information, and driving reminding information is output under the condition that the current driving environment information is matched with the target driving environment information, so that driving reminding can be carried out on different drivers more accurately and pertinently.

The following describes the technical solutions of the present application and how to solve the above technical problems with specific embodiments. The following several specific embodiments may be combined with each other, and details of the same or similar concepts or processes may not be repeated in some embodiments. Embodiments of the present application will be described below with reference to the accompanying drawings.

It is to be understood that the processing steps of the driving data processing method in the present application may be implemented by a terminal or a server. The terminal may be specifically applied to a driving Assistance tool, such as Advanced Driver Assistance Systems (ADAS) or Driver Monitoring Systems (DMS).

In some embodiments, a processing device of driving data for performing the processing method of driving data of the present application is provided.

Fig. 1 is a schematic diagram of a driving data processing device according to some embodiments of the present application, and as shown in fig. 1, the device includes:

and the identity recognition component 10 is used for recognizing the identity of the driver by the driving data processing equipment when the vehicle is started to obtain the identity information of the driver. The identity recognition component specifically comprises a face recognition device or a fingerprint recognition device and the like.

For example, when the identity recognition component is a face recognition device, the identity recognition component includes a processing device storing a face recognition algorithm, and the processing device can recognize an image containing the face of the driver through the face recognition algorithm, so as to obtain the identity information of the driver. The processing device can be connected with the ADAS camera or the DMS camera, so that the processing device can acquire the driver image shot by the ADAS camera or the DMS camera to perform face recognition.

And the communication component 20 is used for communicating with the driver information management system so as to realize information interaction between the driving data processing device and the driver information management system. For example, the communication component 20 may be used to send driver identity information to a driver information management system.

The driver information management system is a system for managing various driving data of drivers, and establishes corresponding driving files for the drivers based on historical driving data of different drivers, wherein the driving files comprise driver identity information such as names, identification numbers, face images and fingerprint images. In addition, the driving profile also includes historical driving data of the driver. In addition, the driving file also stores target driving environment information corresponding to different drivers. The target running environment information comprises running environment information needing to be used for driving reminding of the driver, the target running environment information is obtained according to historical driving data corresponding to the driver, and the target running environment information corresponding to different drivers can be different. The driver information management system can specifically store the target driving environment information corresponding to each driver in the form of a driving file, and after receiving the identity information of the driver sent by the processing equipment of the driving data, the driver information management system searches the driving file corresponding to the driver, extracts the target driving environment information corresponding to the driver from the driving file, and sends the target driving environment information to the processing equipment of the driving data.

Correspondingly, the communication component 20 is further configured to receive the target driving environment information of the driver, which is issued by the driver information management system based on the identity information.

And the driving environment acquisition component 30 is used for acquiring the current driving environment information of the current journey of the driver. The road condition obtaining component specifically includes at least one of a vehicle-mounted camera, a vehicle-mounted laser radar, a GPS (Global Positioning System) device, and the like.

And the processor 40 is used for comparing and matching the current running environment information of the vehicle with the target running environment information, and outputting a driving reminding instruction when the current running environment information is matched with the target running environment information.

And a reminder component 50 for outputting driving reminder information based on the driving reminder instruction output by the processor 40. Reminder assembly 50 may specifically include a display light, a display screen, an audio output device, and the like.

And a driver state acquisition component 60 for acquiring current state information of the driver.

Optionally, the processor 40 may also be connected to an on-board controller of the vehicle to obtain driving data of the vehicle. The vehicle-mounted controller specifically comprises a vehicle control unit, a gateway controller, an instrument controller and the like.

Optionally, the communication component 20 is further configured to send, after the current trip is ended or in the driving process, the identity information of the driver, the driving data of the driver, and the driving environment information of the trip in which the driver drives the vehicle to the driver information management system, so that the driver information management system updates the target driving environment information corresponding to the driver according to the information, that is, updates the driving profile of the driver.

It can be understood that, in the present application, after the driver information management system updates the driving profile of the driver according to the content sent by the processing device of the driving data, the driving analysis can be performed according to the driving profile of the driver.

For example, the driving skill and driving habit of the driver may be evaluated based on the driving data of the driver and the number and types of the target driving environment information, and the driving skill evaluation result and driving habit evaluation result corresponding to each driver may be obtained, so that the driver information management system may perform driving management of the driver based on the driving skill evaluation result and driving habit evaluation result of each driver, for example, performing driving task allocation, accident prediction, and the like based on the driving skill and driving habit of each driver.

For another example, the driving profile of the driver can also be used for the insurance company to carry out fine-grained and targeted insurance scheme design on each driver, so that the obtained insurance scheme which is matched with each driver more.

In some embodiments, a method of processing driving data is provided. Fig. 2 is a schematic diagram of a processing method of driving data provided in some embodiments of the present application, and is explained by taking an example of applying the processing method of driving data to the processing device shown in fig. 1, as shown in fig. 2, the method mainly includes the following steps:

and S110, acquiring target running environment information corresponding to the driver, wherein the target running environment information comprises running environment information corresponding to driving data meeting preset risk conditions in the historical driving data of the driver.

Specifically, the processing device first acquires target running environment information corresponding to a driver currently driving the vehicle. The driving data meeting the preset risk condition in the historical driving data specifically refers to data which may affect normal driving of the driver and cause driving risk to the driver, and correspondingly, the target driving environment information refers to a driving environment with driving risk to the driver, and the target driving environment is a driving environment which needs driving reminding of the driver.

In practice, the driving data meeting the preset risk condition may include at least one of: the driving state information of the vehicle does not belong to the driving data of the preset normal driving state information, the state information of the driver does not belong to the driving data of the preset normal driving state information, and the operation information of the driver does not belong to the driving data of the preset normal driving operation information.

It can be understood that, for different drivers, the target running environment information corresponding to different drivers is different due to differences in driving level or driving habits.

And S120, acquiring the current running environment information of the current trip of the driver.

The processing device acquires current running environment information of a current trip of the driver in real time during the driving of the vehicle by the driver.

Optionally, the driving environment information includes at least one of: road condition information, weather information, lane line information, traffic sign information and traffic signal light information. The road condition information refers to the technical conditions of the existing road subgrade, road surface, structure, affiliated facilities and the like; weather information is current weather condition information, such as whether the weather is sunny or not, whether the weather is rainy or not, and the like; the lane line information, the traffic sign information, and the traffic signal light information are lane lines, traffic signs, traffic signals, and the like provided on a road on which the vehicle travels.

When acquiring the current driving environment information, the processing device can capture the driving environment near the vehicle in real time through a capturing device such as a vehicle-mounted camera, so as to acquire the image or video information of the current driving environment of the current trip of the driver in real time.

Optionally, the processing device may also acquire the current geographic position of the vehicle through the GPS device, and then acquire the current driving environment information of the current geographic position through an electronic map or the like.

After the current driving environment information of the vehicle is obtained, the processing device compares the current driving environment information with the target driving environment information corresponding to the driver to determine whether the current driving environment information meets the target driving environment information corresponding to the driver.

And S130, outputting driving reminding information under the condition that the current running environment information is matched with the target running environment information.

Under the condition that the current driving environment information is matched with the target driving environment information, it is shown that the current driving environment information may influence normal driving of the driver, and at this time, road condition reminding needs to be performed on the driver. Therefore, when the current driving environment information is matched with the target driving environment information, the driving reminding information is output, and the function of reminding the road condition of the driver is achieved.

It can be understood that, because the target driving environment information corresponding to different drivers has a difference, in the case of the same road condition, for different drivers, the situation that part of the drivers remind and part of the drivers do not remind may occur.

For example, for the same current driving environment information, for the user E, the current driving environment information belongs to the target driving environment information of the user E, and therefore, a driving prompt needs to be performed on the user E; for the user F, the current driving environment information does not belong to the target driving environment information of the user F, and thus the driving alert may not be given to the user F.

The embodiment provides a method for processing driving data, wherein during driving of a vehicle, target driving environment information corresponding to a driver is firstly acquired, the target driving environment information comprises driving environment information corresponding to driving data meeting preset risk conditions in historical driving data of the driver, and in the driving process, driving reminding information is output under the condition that the current driving environment information is matched with the target driving environment information by comparing the current driving environment information of a current trip with the target driving environment information, so that differentiated driving reminding can be performed on different drivers more accurately and more pertinently.

In some embodiments, a flow of a process of acquiring target running environment information corresponding to a driver is explained.

Fig. 3 is a schematic flowchart of a process of acquiring target driving environment information corresponding to a driver in an embodiment of the present application, and as shown in fig. 3, the process includes:

and S112, identifying the identity of the driver to obtain the identity information of the driver.

And S114, transmitting the identity information of the driver to a driver information management system, wherein the driver information management system stores the target running environment information corresponding to the driver.

And S116, receiving target running environment information corresponding to the driver, which is issued by the driver information management system based on the identity information.

Specifically, the processing device firstly identifies the driver to obtain the identity information of the driver. The identity recognition may specifically be face recognition or fingerprint recognition, so that the identity information of the driver can be uniquely determined according to the face or the fingerprint.

After the identity information of the driver is obtained through face recognition or fingerprint recognition, the processing equipment sends the identity information of the driver to a driver information management system, and the driver information management system stores target running environment information corresponding to different drivers, so that the driver information management system inquires the target running environment information corresponding to the driver according to the identity information of the driver and sends the inquired target running environment information corresponding to the driver to the processing equipment.

Finally, the processing device receives the target driving environment information which is obtained and issued according to the identity information query of the driver under the driver information management system, and then executes the processing method of the driving data according to the embodiment of the application according to the target driving environment information.

In the embodiment, the processing device identifies the driver and communicates with the driver information management system based on the identity information of the driver, so that the target driving environment information corresponding to the current driver can be accurately obtained, and accurate and more targeted driving reminding can be performed on the driver.

In some embodiments, a process of determining target traveling environment information corresponding to a driver, which may be specifically implemented by a driver information management system, is explained.

Fig. 4 is a schematic flowchart of a process of determining target driving environment information corresponding to a driver in an embodiment of the present application, where as shown in fig. 4, the process includes:

s210, acquiring historical driving data of a driver and historical driving environment information corresponding to the historical driving data;

s220, determining driving data meeting preset risk conditions in the historical driving data;

s230, determining historical driving environment information corresponding to the driving data meeting the preset risk condition as target driving environment information corresponding to a driver;

s240, constructing a driver file corresponding to the driver based on the historical driving data of the driver, the historical driving environment information corresponding to the historical driving data, the driving data meeting the preset risk condition and the target driving environment information corresponding to the driver.

Specifically, the driver information management system firstly acquires historical driving data of a driver, then screens the historical driving data according to preset risk conditions, and determines driving data meeting the preset risk conditions from the historical driving data, so that target driving environment information corresponding to the driver can be determined according to the corresponding relation between the historical driving data and the historical driving environment information.

Optionally, the historical driving data of the driver and the historical driving environment information corresponding to the historical driving data are obtained through an advanced driver assistance system ADAS and/or a driver monitoring system DMS, so that the historical driving data corresponding to the driver and the historical driving environment information corresponding to the historical driving data can be accurately obtained through the ADAS and/or the DMS, and the target driving environment information corresponding to the driver is accurately determined.

In addition, the driver information management system also constructs a driver file corresponding to the driver according to the historical driving data based on the driver, the historical driving environment information corresponding to the historical driving data, the driving data meeting the preset risk condition and the target driving environment information corresponding to the driver, and specifically, a corresponding driver file can be established for each driver, so that the driver information management system can better manage the driving information of the driver in a one-man one-file mode.

In some embodiments, the driving data meeting the preset risk condition includes at least one of: first driving data in a case where the driving speed is lower than a first threshold value; second driving data in the case where the speed of acceleration exceeds a second threshold; third driving data in a case where the speed of deceleration exceeds a third threshold; fourth driving data in a case where a change speed of the steering angle of the vehicle exceeds a fourth threshold value; fifth driving data in a case where the speed at which the vehicle cuts the lane exceeds a fifth threshold.

Wherein (1) the first threshold may be, but is not limited to, an average driving speed of all vehicles corresponding to a driver, or a road. When the driving speed is lower than the first threshold, the driving speed of the driver while driving on the road may be considered to be low, and thus, the first driving data in the case where the driving speed is lower than the first threshold may be determined as the driving data satisfying the preset risk condition. The running environment corresponding to the first driving data is, for example, a pothole road surface.

(2) When the speed of acceleration exceeds the second threshold value, it may be considered that there is a case of sudden acceleration, and therefore, the second driving data in the case where the speed of acceleration exceeds the second threshold value may be determined as the driving data satisfying the preset risk condition.

When the rapid acceleration behavior is detected, the acceleration a1 of the vehicle during acceleration can be detected by the acceleration sensor of the vehicle, and compared with the preset second threshold a10, when a1> a10, it can be determined that the rapid acceleration behavior exists in the current driving of the driver.

(3) When the decelerated speed exceeds the third threshold, it may be considered that the driver has a situation of rapid deceleration, and therefore, the third driving data in the case where the decelerated speed exceeds the third threshold may be determined as the driving data satisfying the preset risk condition.

When detecting the rapid deceleration behavior, the acceleration a2 at the time of deceleration of the vehicle may be detected by an acceleration sensor of the vehicle and compared with a preset third threshold a 20. When a2> a20, it may be determined that there is rapid deceleration behavior in the driver's current driving.

In addition, it is also possible to determine whether the vehicle is in a rapid deceleration state by acquiring the rate of change in the brake pedal opening. When the change in the brake pedal opening degree in the time period t1 is p1, the rate of change in the brake pedal opening degree ω 1 becomes p1/t 1. After ω 1 is obtained, comparing ω 1 with a preset brake pedal opening change rate ω 10, and when ω 1 is larger than ω 10, judging that the driver has rapid deceleration behavior in the current driving.

(4) When the change speed of the steering angle of the vehicle exceeds the fourth threshold value, it may be considered that there is a sharp turn, and therefore, the fourth driving data in the case where the change speed of the steering angle of the vehicle exceeds the fourth threshold value may be determined as the driving data that satisfies the preset risk condition.

In detecting the sharp turning behavior, the speed a3 of the change in the steering angle while the vehicle is turning may be detected by the angle sensor of the vehicle and compared with a fourth threshold value a30 that is set in advance. When a3> a30, it can be determined that there is sharp turning behavior in the driver's current driving.

Furthermore, sharp turns may also be detected by computer vision techniques. For example, an image shot by a vehicle-mounted camera may be acquired, and an AI (Artificial Intelligence) technique may be used to detect a change in a viewing angle of the image, so as to obtain a turning situation of the vehicle, and further determine whether a driver has a sharp turning behavior currently.

(5) When the speed of the vehicle cutting the lane exceeds the fifth threshold, it may be considered that there is a case where the driver makes a sudden lane change, and therefore, the fifth driving data in the case where the speed of the vehicle cutting the lane exceeds the fifth threshold may be determined as the driving data satisfying the preset risk condition.

When the quick lane change behavior is detected, lane change information of the vehicle can be acquired through the ADAS or the vehicle-mounted camera, when the fact that the vehicle is executing lane change operation is detected, the lane changing speed of the vehicle is acquired, the lane changing speed a4 of the vehicle is compared with a preset fifth threshold value a40, and when a4> a40, it is judged that the quick lane change behavior exists when the driver drives currently.

In this embodiment, the historical driving data includes at least one of the historical driving speed, the average driving speed, the historical sharp acceleration times, the historical sharp deceleration times, the historical sharp turning times or the historical sharp lane change times, so that the driving habit of the driver can be obtained according to the driving data, the target driving environment information for the driver can be accurately determined, and the targeted driving reminding information for the driver can be facilitated.

In this embodiment, at least one of the first driving data when the driving speed is lower than the first threshold, the second driving data when the accelerating speed exceeds the second threshold, the third driving data when the decelerating speed exceeds the third threshold, the fourth driving data when the change speed of the steering angle of the vehicle exceeds the fourth threshold, and the fifth driving data when the speed of the vehicle cutting the lane exceeds the fifth threshold is used as the driving data meeting the preset risk condition, so that the driving data of the driver with low driving speed, rapid acceleration, rapid deceleration, rapid turning, and rapid lane changing can be screened, and further, the driving environment of the driver with low driving speed, rapid acceleration, rapid deceleration, rapid turning, and rapid lane changing can be determined, and the driving prompt of the driver can be performed in a targeted manner.

In some embodiments, the method further comprises: in response to the fact that the driver is detected to enter the vehicle cabin and start the vehicle, identity recognition is carried out on the driver, and identity information of the driver is obtained; acquiring driving data of a driver and driving environment information in a journey of the driver driving a vehicle; uploading the identity information of the driver, the driving data of the driver and the driving environment information in the journey of the driver driving the vehicle to a driver information management system; the driver information management system updates target running environment information corresponding to a driver according to driving data of the driver and running environment information in a journey of the driver driving the vehicle, and stores the driving data of the driver, the running environment information in the journey of the driver driving the vehicle and the updated target running environment information into a driver file corresponding to the driver.

Specifically, after detecting that the driver performs the vehicle driving action, the processing device may identify the driver to obtain the identity information of the driver; then, the processing device acquires the driving data of the driver and the driving environment information in the journey of the driver driving the vehicle in real time; finally, the processing device can upload the identity information of the driver, the driving data of the driver and the driving environment information of the driver in the process of driving the vehicle to the driver information management system in real time, or upload the identity information of the driver, the driving data of the driver and the driving environment information of the driver in the process of driving the vehicle to the driver information management system after the process is finished, so that the driver information management system can update the driver file of the driver according to the uploaded latest data, dynamically manage the driver file, and improve the real-time performance and the accuracy.

In some embodiments, in the case where the current running environment information matches the target running environment information, the driving alert information is output, including at least one of:

when the target driving environment information is the driving environment information corresponding to the third driving data, outputting rapid deceleration reminding information;

when the target driving environment information is driving environment information corresponding to the fourth driving data, outputting sharp turn reminding information;

and outputting the quick lane change reminding information when the target driving environment information is the driving environment information corresponding to the fifth driving data.

Specifically, the processing device can output corresponding driving reminding information to the driver based on the specific type of the target driving environment information matched with the current driving environment information, so that the driver can know the current driving environment information more accurately, and then the targeted driving is performed, and the driving safety is improved.

In some embodiments, the method further comprises: the current state information of the driver is acquired.

Correspondingly, under the condition that the current driving environment information is matched with the target driving environment information, the driving reminding information is output, and the method comprises the following steps: and under the condition that the current running environment information is matched with the target running environment information, responding to the condition that the current state of the driver is a preset dangerous driving state, and outputting driving reminding information.

Specifically, the processing device may detect the current driving state of the driver to obtain current state information of the driver, and then determine whether the driving reminding information needs to be output based on whether the current state of the driver is a preset dangerous driving state.

When the current state of the driver is a preset dangerous driving state, it is described that the driver is not in a state of attentively driving the vehicle, and the driving environment with driving risk may not be coped with, so that driving accidents are likely to occur.

In addition, under the condition that the current state of the driver does not belong to the preset dangerous driving state, the driver is in the state of paying attention to driving the vehicle at present, the driving environment with driving risks can be normally coped with, and driving accidents are not easy to occur due to distraction. Therefore, in the case where the current running environment information matches the target running environment information but the current state of the driver does not belong to the preset dangerous driving state, the driving alert information may not be output to reduce the disturbance to the driver.

In this embodiment, when driving is reminded, driving reminding can be further performed by combining the current state of the driver, so that driving reminding information can be performed on the driver more pertinently, and driving safety is further improved.

In some embodiments, the method further comprises: acquiring current image data of a driver; the current state of the driver is detected based on the current image data.

Specifically, the processing device may perform state detection on the driver through current image data of the driver, so as to obtain current state information of the driver. The current image data of the driver can be obtained through a vehicle-mounted camera, ADAS or DMS. The current image data of the driver can be input into a neural network for detecting the state of the driver to obtain a detection result of the current state of the driver.

Therefore, the processing equipment can accurately detect the current state of the driver through the current image data of the driver, and then can determine whether to output driving reminding information to the driver according to whether the current state of the driver is a preset dangerous driving state.

In some embodiments, the preset dangerous driving condition includes at least one of: the time for drinking, making a call, smoking, lowering the head, yawning, closing the eyes reaches a first preset time, the time for the head deviation angle exceeding the first angle threshold value reaches a second preset time, and the time for the sight line deviation angle exceeding the second angle threshold value reaches a third preset time.

When the driver has the actions of drinking, making a call, smoking, lowering head, enabling the time that the head deviation angle exceeds the first angle threshold value to reach the second preset time length, enabling the time that the sight line deviation angle exceeds the second angle threshold value to reach the third preset time length and the like, the driver is in a distracted driving state, and driving accidents easily occur in the distracted driving state, so that the actions can be classified into a dangerous driving state.

In addition, when the driver has actions such as yawning and closing of eyes for a first preset time, the driver is in a fatigue driving state, and driving accidents are easy to occur in the fatigue driving state, so that the actions can be classified into a dangerous driving state.

In this embodiment, through setting the state that the driving accident appears easily for predetermined dangerous driving state, when the driver reminded driving, processing equipment can further drive and remind in combination with driver's current state to can drive to remind to the driver more pertinence, further promote driving safety.

In some embodiments, when the driving reminding information is output, the driving reminding information may be implemented by voice reminding, light reminding, text reminding, or APP (Application program) reminding, which is not limited herein.

In some embodiments, in a case where the current running environment information matches the target running environment information, the processing device may assist the driver in performing vehicle driving, for example, control a vehicle speed reduction or the like, in addition to outputting the driving alert information, thereby further ensuring driving safety by performing assist control of the vehicle on the basis of alerting the driver.

It should be understood that, although the respective steps in the flowcharts in the above-described embodiments are sequentially shown as indicated by arrows, the steps are not necessarily performed sequentially as indicated by the arrows. The steps are not performed in the exact order shown and may be performed in other orders unless explicitly stated herein. Moreover, at least some of the steps in the figures may include multiple sub-steps or multiple stages that are not necessarily performed at the same time, but may be performed at different times, in different orders, and may be performed alternately or at least partially with respect to other steps or sub-steps of other steps.

In some embodiments, a processing device for driving data is provided.

Fig. 5 is a schematic diagram of a driving data processing device according to an embodiment of the present application, and as shown in fig. 5, the device includes:

the first obtaining module 110 is configured to obtain target driving environment information corresponding to a driver, where the target driving environment information includes driving environment information corresponding to driving data that meets a preset risk condition in historical driving data of the driver;

a second obtaining module 120, configured to obtain current driving environment information of a current trip of a driver;

and the driving reminding module 130 is configured to output driving reminding information when the current driving environment information is matched with the target driving environment information.

For specific limitations of the processing device of the driving data, reference may be made to the above limitations of the processing method of the driving data, which are not described herein again. The respective modules in the processing device of the driving data may be wholly or partially realized by software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.

The application provides a processing apparatus of driving data, when the driver drives the vehicle, at first acquire the target driving environment information that this driver corresponds, this target driving environment information includes the driving environment information that the driving data that satisfies preset risk condition corresponds among this driver's historical driving data, in the driving process, through comparing the current driving environment information of current journey with this target driving environment information, under the circumstances that current driving environment information and target driving environment information match, output and drive warning information, thereby, can drive the warning to different drivers more accurately, with pertinence.

In some embodiments, a computer device is provided, and fig. 6 is a schematic structural diagram of a computer device provided in an embodiment of the present application, and as shown in fig. 6, the computer device includes: a processor 10 and a memory 20.

Wherein, the memory 20 is used for storing programs and data, and the processor 10 calls the programs stored in the memory 20 to execute the technical solution of any one of the foregoing method embodiments.

In the above computer devices, the memory and the processor are electrically connected directly or indirectly to enable data transmission or interaction. For example, the components may be electrically connected to each other via one or more communication buses or signal lines, such as a bus. The memory stores computer-executable instructions for implementing the data access control method, and includes at least one software functional module which can be stored in the memory in the form of software or firmware, and the processor executes various functional applications and data processing by running the software programs and modules stored in the memory.

The Memory may be, but is not limited to, a Random Access Memory (RAM), a Read Only Memory (ROM), a Programmable Read Only Memory (PROM), an Erasable Read Only Memory (EPROM), an electrically Erasable Read Only Memory (EEPROM), and the like. The memory is used for storing programs, and the processor executes the programs after receiving the execution instructions. Further, the software programs and modules within the aforementioned memories may also include an operating system, which may include various software components and/or drivers for managing system tasks (e.g., memory management, storage device control, power management, etc.), and may communicate with various hardware or software components to provide an operating environment for other software components.

The processor may be an integrated circuit chip having signal processing capabilities. The Processor may be a general-purpose Processor including a Central Processing Unit (CPU), a Network Processor (NP), and the like. The various methods, steps, and logic blocks disclosed in the embodiments of the present application may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.

In some embodiments, a computer-readable storage medium is provided having computer-executable instructions stored therein for performing the steps of the method embodiments of the present application when executed by a processor.

In some embodiments, a computer program product is provided, comprising a computer program which, when executed by a processor, implements the method of processing driving data described above.

It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware related to instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, the computer program can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database or other medium used in the embodiments provided herein can include non-volatile and/or volatile memory. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

Other embodiments of the present disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the application disclosed herein. This application is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.

It will be understood that the present disclosure is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.

Claims

1. A method of processing driving data, comprising:

outputting driving reminding information under the condition that the current driving environment information is matched with the target driving environment information;

the target running environment information corresponding to the driver is determined according to the following mode:

and constructing a driver file corresponding to the driver based on the historical driving data of the driver, the historical driving environment information corresponding to the historical driving data, the driving data meeting the preset risk condition and the target driving environment information corresponding to the driver.

2. The method according to claim 1, wherein the obtaining of the target driving environment information corresponding to the driver comprises:

3. The method according to claim 1, characterized in that the historical driving data of the driver and the historical driving environment information corresponding to the historical driving data are obtained by an advanced driver assistance system ADAS and/or a driver monitoring system DMS.

4. The method according to claim 1, wherein the driving data meeting a preset risk condition comprises at least one of:

5. The method of claim 1, further comprising:

uploading the identity information of the driver, the driving data of the driver and the driving environment information in the journey of the driver driving the vehicle to a driver information management system; the driver information management system updates the target running environment information corresponding to the driver according to the driving data of the driver and the running environment information in the journey of the vehicle driven by the driver, and stores the driving data of the driver, the running environment information in the journey of the vehicle driven by the driver and the updated target running environment information into the driver file corresponding to the driver.

6. The method according to claim 1 or 2, characterized in that the driving environment information comprises at least one of the following: road condition information, weather information, lane line information, traffic sign information and traffic signal light information.

7. The method of claim 4, wherein outputting driving alert information in the event that the current driving environment information matches the target driving environment information comprises at least one of:

outputting rapid deceleration reminding information when the target driving environment information is the driving environment information corresponding to the third driving data;

8. The method of claim 1 or 2, further comprising:

acquiring current state information of the driver;

and under the condition that the current running environment information is matched with the target running environment information, responding to the current state of the driver as a preset dangerous driving state, and outputting driving reminding information.

9. The method of claim 8, further comprising:

acquiring current image data of the driver;

and detecting the current state of the driver based on the current image data to obtain the current state information of the driver.

10. The method of claim 8, wherein the preset dangerous driving condition comprises at least one of: the time for drinking, making a call, smoking, lowering the head, yawning, closing the eyes reaches a first preset time, the time for the head deviation angle exceeding the first angle threshold value reaches a second preset time, and the time for the sight line deviation angle exceeding the second angle threshold value reaches a third preset time.

11. A driving data processing apparatus, comprising:

the system comprises a first acquisition module, a first processing module and a second acquisition module, wherein the first acquisition module is used for acquiring target running environment information corresponding to a driver, and the target running environment information comprises running environment information corresponding to driving data which meet preset risk conditions in historical driving data of the driver;

the driving reminding module is used for outputting driving reminding information under the condition that the current driving environment information is matched with the target driving environment information;

12. A computer device, comprising: a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the method of processing driving data according to any one of claims 1 to 10 when executing the program.

13. A computer-readable storage medium having stored thereon computer-executable instructions for implementing the method of processing driving data according to any one of claims 1-10 when executed by a processor.