CN111824170B

CN111824170B - Method, system, device and electronic equipment for obtaining vehicle performance information

Info

Publication number: CN111824170B
Application number: CN201910310028.8A
Authority: CN
Inventors: 谷明琴; 沈慧; 赵春明; 李众力
Original assignee: Wuzhou Online E Commerce Beijing Co ltd
Current assignee: Wuzhou Online E Commerce Beijing Co ltd
Priority date: 2019-04-17
Filing date: 2019-04-17
Publication date: 2023-09-19
Anticipated expiration: 2039-04-17
Also published as: CN111824170A

Abstract

The embodiment of the application discloses a method, a system, a device and electronic equipment for obtaining vehicle performance information. The method comprises the following steps: the method comprises the steps that a first service end obtains a vehicle information base and vehicle information type and abnormality judgment rule information required by performance analysis of an analysis object related to a vehicle, wherein the vehicle information base stores related data obtained in the process of automatic driving control of the vehicle; determining a target analysis object to be analyzed, and extracting target vehicle information under a vehicle information type corresponding to the target analysis object from the vehicle information base; and obtaining a performance analysis result of the target analysis object according to the target vehicle information and the abnormality judgment rule information. According to the scheme, the vehicle performance analysis can be simply and conveniently realized.

Description

Method, system, device and electronic equipment for obtaining vehicle performance information

Technical Field

The present application relates to the field of autopilot technology, and in particular, to a method, a system, a device, and an electronic apparatus for obtaining vehicle performance information.

Background

An autopilot (Autonomous vehicles, self-piloting automobile), also known as an unmanned car, a wheeled mobile robot, etc., may be provided for automatic control of the vehicle by an autopilot sensing system. Among them, there are two main types of autopilot sensing systems: the vehicle-mounted sensor network sensing and the vehicle-road cooperative sensing are carried out. Under the mode of sensing by a vehicle-mounted sensor network, an automatic driving automobile can be provided with a plurality of autonomous sensors (laser radar, millimeter wave radar, cameras and the like) to acquire enough and rich and various sensing information, and is matched with powerful computing equipment to quickly process data in real time to acquire complete sensing results, and the sensed environmental information around the automobile is sent to a control system in the automobile for on-line processing, so that automatic driving decision is realized, including controlling the steering, the speed and the like of the automobile, and the automobile is enabled to run according to a pre-planned route. In the vehicle-Road cooperative sensing system, a sensing base station performs information interaction with an OBU (On-Board Unit) loaded by a nearby vehicle through an RSU (Road Side Unit) in a V2X (Vehicle to Everything) system, so that a plurality of applications such as advanced auxiliary driving and intelligent traffic are realized.

In the process of actually performing automatic driving control on a vehicle, the performance state of the vehicle is also an important reference factor in the automatic driving decision process. The performance states of the vehicle can comprise the whole vehicle performance, the engine performance, the brake system performance, the steering system performance, whether four-wheel positioning is accurate or not and the like; in the automatic driving scene, whether the algorithm of automatic driving is accurate or not can be further included. Under the condition that the position, the speed, the road state of the surrounding environment, other vehicles and other factors of the vehicle are the same, different control instructions may need to be sent out according to the different performance states of the vehicle, so that accurate control can be performed. For example, if it is desired to slow down the vehicle from 70km/h to 50km/h under the same road environmental conditions (slope, camber, etc.), as well as the angle of the vehicle itself, etc., it may be necessary to control the opening of the brake pedal only to a relatively small opening for vehicles to which the brake system is sensitive, and to a larger angle for vehicles to which the brake system is already not sensitive, etc.

It is seen that it is important to grasp performance state information of a vehicle during automatic driving. The performance status information of the vehicle is not always the same, for example, for a hardware system, the performance may be continuously reduced with long-term wear, for an algorithm, the performance may be improved with continuous machine learning according to data collected during actual driving, etc. Therefore, how to accurately obtain the performance state information of the vehicle becomes a problem to be considered.

In the prior art, the acquisition of the performance state information of the vehicle can be generally finished by detecting the performance state information on a detection line, but the mode is complex, special detection line equipment, related detection technology and special detection personnel are needed, and a general user is difficult to accept frequent online detection of the vehicle; on the other hand, this approach usually only detects the performance state of the hardware, but the performance of the algorithm is not available, and a special detection program may be designed for detection. In addition, the on-line detection mode can only obtain the performance state of the vehicle at a certain moment.

Therefore, how to obtain the performance state information of the vehicle more effectively becomes a technical problem that needs to be solved by those skilled in the art.

Disclosure of Invention

The application provides a method, a system, a device and electronic equipment for obtaining vehicle performance information, which can utilize related data obtained in the process of automatic driving control of a vehicle to analyze the vehicle performance, and the implementation process is simple and convenient.

The application provides the following scheme:

a method for obtaining vehicle performance information, comprising:

the method comprises the steps that a first service end obtains a vehicle information base and vehicle information type and abnormality judgment rule information required by performance analysis of an analysis object related to a vehicle, wherein the vehicle information base stores related data obtained in the process of automatic driving control of the vehicle;

determining a target analysis object to be analyzed, and extracting target vehicle information under a vehicle information type corresponding to the target analysis object from the vehicle information base;

and obtaining a performance analysis result of the target analysis object according to the target vehicle information and the abnormality judgment rule information.

A method for obtaining vehicle performance information, comprising:

The first client provides a first operation option for submitting relevant information of the target analysis object;

after obtaining the related information of the target analysis object through the first operation option, submitting the related information to a first service end so that the first service end can determine the target analysis object according to the obtained information and extract target vehicle information under the vehicle information type corresponding to the target analysis object from a vehicle information base; and obtaining a performance analysis result of the target analysis object according to the target vehicle information and the abnormality judgment rule information.

A method of obtaining vehicle autopilot data, comprising:

the second server side obtains related data for automatically controlling the vehicle in the running process of the vehicle;

generating a vehicle information base, storing the related data into the vehicle information base, so that after a first service end determines a target analysis object to be analyzed, extracting target vehicle information under a vehicle information type corresponding to the target analysis object from the vehicle information base, and obtaining a performance analysis result of the target analysis object according to the target vehicle information and the corresponding abnormality judgment rule information.

A method of obtaining vehicle autopilot data, comprising:

the method comprises the steps that a second client obtains relevant data for automatically controlling the vehicle in the running process of the vehicle;

and sending the related data to a second server side so that the second server side generates a vehicle information base for storing the related data, and the first server side extracts target vehicle information under the vehicle information type corresponding to the target analysis object from the vehicle information base to perform performance analysis.

A system for obtaining vehicle performance information, the system comprising: a first client and a first server,

the first client is used for submitting the relevant information of the target analysis object to the first service end;

the first service end is used for determining the target analysis object according to the information submitted by the first client end, and extracting target vehicle information under the vehicle information type corresponding to the target analysis object from a vehicle information base; and obtaining a performance analysis result of the target analysis object according to the target vehicle information and the abnormality judgment rule information.

An apparatus for obtaining vehicle performance information, applied to a first service end, includes:

The information acquisition unit is used for acquiring a vehicle information base and vehicle information type and abnormality judgment rule information required by performance analysis of an analysis object related to a vehicle, wherein the vehicle information base stores related data acquired in the process of automatic driving control of the vehicle;

a target vehicle information extraction unit, configured to determine a target analysis object to be analyzed, and extract target vehicle information under a vehicle information type corresponding to the target analysis object from the vehicle information base;

and a performance analysis result obtaining unit configured to obtain a performance analysis result of the target analysis object according to the target vehicle information and the abnormality judgment rule information.

An apparatus for obtaining vehicle performance information, applied to a first client, comprising:

a first operation option providing unit for providing a first operation option for submitting information related to the target analysis object;

the information submitting unit is used for submitting the information related to the target analysis object to a first service end after the information related to the target analysis object is obtained through the first operation option, so that the first service end determines the target analysis object according to the obtained information and extracts target vehicle information under the vehicle information type corresponding to the target analysis object from a vehicle information base; and obtaining a performance analysis result of the target analysis object according to the target vehicle information and the abnormality judgment rule information.

An apparatus for obtaining automatic driving data of a vehicle, applied to a second service end, comprises:

the data acquisition unit is used for acquiring related data for automatically controlling the vehicle in the running process of the vehicle;

the data storage unit is used for generating a vehicle information base, storing the related data into the vehicle information base, so that after a first service end determines a target analysis object to be analyzed, extracting target vehicle information under a vehicle information type corresponding to the target analysis object from the vehicle information base, and obtaining a performance analysis result of the target analysis object according to the target vehicle information and the corresponding abnormality judgment rule information.

An apparatus for obtaining vehicle autopilot data for use with a second client, comprising:

and the data transmitting unit is used for transmitting the related data to the second server side so that the second server side generates a vehicle information base for storing the related data and the first server side extracts the target vehicle information under the vehicle information type corresponding to the target analysis object from the vehicle information base to perform performance analysis.

An electronic device, comprising:

one or more processors; and

a memory associated with the one or more processors, the memory for storing program instructions that, when read for execution by the one or more processors, perform the operations of:

obtaining a vehicle information base and vehicle information type and abnormality judgment rule information required by performance analysis of an analysis object related to a vehicle, wherein the vehicle information base stores related data obtained in the process of automatic driving control of the vehicle;

An electronic device, comprising:

one or more processors; and

Providing a first operation option for submitting information related to a target analysis object;

after obtaining the related information of the target analysis object through the first operation option, submitting the related information to a server side so that the server side can determine the target analysis object according to the obtained information and extract target vehicle information under the vehicle information type corresponding to the target analysis object from a vehicle information base; and obtaining a performance analysis result of the target analysis object according to the target vehicle information and the abnormality judgment rule information.

An electronic device, comprising:

one or more processors; and

acquiring related data for automatically controlling the vehicle in the running process of the vehicle;

An electronic device, comprising:

one or more processors; and

According to the specific embodiment provided by the application, the application discloses the following technical effects:

according to the embodiment of the application, the related data obtained in the automatic driving control process of the vehicle can be stored through the vehicle information base, after the first service end determines the target analysis object to be analyzed according to the information submitted by the first client, the target vehicle information under the vehicle information type corresponding to the target analysis object can be extracted from the information base, and then the performance analysis result of the target analysis object is obtained according to the target vehicle information and the abnormality judgment rule information. According to the performance analysis scheme, the performance analysis result of the target analysis object can be obtained without complex detection on a detection line, the implementation process is simple and convenient, and a client user can request a server to perform performance analysis at any time according to requirements, so that the timeliness is high. In addition, the data stored in the information base can be hardware-related data or algorithm-related data, the first service end can perform indifferent processing, and performance information of vehicle hardware and performance information of algorithm are obtained through a unified processing flow.

Of course, it is not necessary for any one product to practice the application to achieve all of the advantages set forth above at the same time.

Drawings

In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings that are needed in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.

FIG. 1 is a schematic diagram of a system provided by an embodiment of the present application;

FIG. 2 is a schematic illustration of a first method provided by an embodiment of the present application;

FIG. 3 is a flow chart of a second method provided by an embodiment of the present application;

FIG. 4 is a flow chart of a third method provided by an embodiment of the present application;

FIG. 5 is a flow chart of a fourth method provided by an embodiment of the present application;

FIG. 6 is a flow chart of a fifth method provided by an embodiment of the present application;

FIG. 7 is a flow chart of a sixth method provided by an embodiment of the present application;

FIG. 8 is a schematic diagram of a first apparatus provided by an embodiment of the present application;

FIG. 9 is a schematic diagram of a second apparatus provided in an embodiment of the present application;

FIG. 10 is a schematic view of a third apparatus according to an embodiment of the present application;

FIG. 11 is a schematic view of a fourth apparatus according to an embodiment of the present application;

FIG. 12 is a schematic diagram of an architecture of a computer system provided by an embodiment of the present application;

fig. 13 is a schematic diagram of an architecture of an electronic device according to an embodiment of the present application.

Detailed Description

The following description of the embodiments of the present application will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present application, but not all embodiments. All other embodiments, which are derived by a person skilled in the art based on the embodiments of the application, fall within the scope of protection of the application.

In order to facilitate understanding of the specific implementation scheme provided by the embodiment of the present application, a specific scenario of the scheme is first described briefly below.

In general, the performance of a vehicle is good or bad, and a certain degree of reflection is generated in the process of automatic driving of the vehicle. For example, when the same deceleration purpose is achieved, the opening degree information of the brake pedal during the running of the vehicle can reflect the performance of the brake system of the vehicle to some extent. The embodiment of the application provides a tool for obtaining vehicle performance information by utilizing related data obtained in an automatic driving control process of a vehicle, which can be specifically embodied as a system shown in fig. 1 and comprises a first client side and a first service side.

The first client can be deployed on terminal equipment associated with a user, and obtains relevant information of a target analysis object submitted by the user and sends the relevant information to the first server. The first service end can be deployed on the cloud server, a target analysis object to be analyzed can be determined according to information submitted by the client, target vehicle information under the vehicle information type corresponding to the target analysis object is extracted from the vehicle information base, and then the target vehicle information is subjected to abnormality judgment according to abnormality judgment rule information corresponding to the target analysis object, so that a performance analysis result of the target analysis object is obtained.

Or, in another implementation manner, the first client may further send the target time period information submitted by the user to the first service end, so that the first service end obtains the performance change trend information of the target analysis object in the target time period according to the target vehicle information in the target time period under the vehicle information type corresponding to the target analysis object extracted from the vehicle information base.

In the embodiment of the application, the target analysis object to be analyzed can be: the vehicle comprises a whole vehicle, equipment of the vehicle, additional equipment of the vehicle, a functional module for controlling the automatic driving of the vehicle, an algorithm for realizing a control function and the like. The functional module for performing the automatic driving control of the vehicle may include: the system comprises a sensing module, a prediction module, a decision module, a planning module, a vehicle control module and the like. The specific analysis process is described below and is not described in detail herein.

Example 1

The implementation process of the target analysis object according to the present embodiment to obtain the performance analysis result will be explained with reference to the flowchart shown in fig. 2.

S101: the method comprises the steps that a first service end obtains relevant data in the automatic driving control process of a vehicle, and vehicle information type and abnormality judgment rule information required by performance analysis of analysis objects related to the vehicle, wherein the relevant data obtained in the automatic driving control process of the vehicle can be stored in a vehicle information base.

When the vehicle performance analysis is performed, the server may obtain the following information:

1. and related data obtained in the process of automatically controlling the vehicle can be stored in a vehicle information base.

The embodiment of the application provides a tool for obtaining vehicle automatic driving related data, which can comprise a second client side and a second server side. The second client can be deployed on the vehicle to obtain related data for automatically controlling the vehicle in the running process of the vehicle; the second server can be deployed on the cloud server to generate a vehicle information base, and relevant data sent by the second client is stored in the vehicle information base. It can be understood that the first service end and the second service end can be deployed on one server or on different servers, as long as the first service end can obtain the vehicle information base generated by the second service end.

When a plurality of vehicles exist, the second service end can correspondingly generate a plurality of vehicle information bases aiming at the plurality of vehicles, and each vehicle information base is used for storing related data in the automatic driving process of the corresponding vehicle. For example, after the second server obtains the related data submitted by the second client A1 deployed on the vehicle A1, the second server may generate a vehicle information base A1, which is used to save the related data obtained in the process of performing automatic driving control on the vehicle A1. Alternatively, the second server may generate a vehicle information base for a plurality of vehicles, where relevant data during automatic driving of the plurality of vehicles may be stored in the vehicle information base, and may be specifically shown in table 1 below.

TABLE 1

The process of generating a vehicle information base according to the embodiment of the present application is explained below.

In the embodiment of the application, the related data stored in the vehicle information base can be the original data collected in the automatic driving process of the vehicle. Preferably, a set of high-precision map can be constructed in advance, intersection information, lane information, passable prior map information and the like are marked in the map, a preset line can be planned based on the prior map information before the vehicle is automatically driven, the vehicle is controlled to automatically drive according to the preset line, original data are collected in real time in the driving process of the vehicle, and the collection time information of the original data is collected.

As an example, the raw data collected in real time may be data related to the behavior of the vehicle itself. For example, related data such as throttle, brake, gear, steering, lamplight, automatic driving state and the like during running of the vehicle CAN be collected through a CAN (Controller Area Network ) bus of the vehicle and submitted to the second client. Based on the data related to the behavior of the vehicle itself, the result of the performance analysis of the vehicle when traveling under the preset route can be obtained.

In addition, the raw data collected in real time may also be: data relating to the position of the vehicle, data relating to obstacles around the vehicle, data relating to the running of the vehicle, data relating to the operation condition of the add-on equipment of the vehicle, and the like. The part of data can be collected by a sensing device installed on the vehicle, or the sensing device can be installed in a sensing base station arranged along the road, and the part of data can be obtained by receiving a sensing result broadcasted by the sensing base station and then submitted to a second client. The sensing device may include a positioning sensor, a camera sensor, a laser radar, a millimeter wave radar, an ultrasonic radar, and the like, which may not be particularly limited in the embodiment of the present application. The data related to the running of the vehicle can be related data such as heading, longitudinal speed, longitudinal acceleration, transverse speed, transverse acceleration, centripetal force acceleration and the like in the running process of the vehicle. Based on the data related to the running of the vehicle, the results of performance analysis in terms of comfort, safety, and the like of the vehicle during running can be obtained.

After the second client obtains the original data, part of the data related to automatic driving can be sent to the control system, and the control system performs on-line processing to control the vehicle to realize automatic driving. For example, after obtaining the obstacle picture shot by the camera sensor, the control system can perform online picture processing, determine the position information of the target obstacle relative to the vehicle, the running speed information of the target obstacle and the like, perform line adjustment based on a preset line, control the vehicle to change the lane to run on other lanes, and avoid the obstacle.

In the embodiment of the application, the original data can be stored in a vehicle information base. Specifically, the second client side can send the total amount of the original data to the second server side in real time after obtaining the original data, and the second server side stores the data to the vehicle information base; or, the data storage device can be additionally arranged on the vehicle, the second client side firstly transmits the original data to the data storage device for storage, and then the data storage device is used for transmitting the whole original data to the second server side at regular time. For example, the data storage device may upload the full amount of data once a day, and send the raw data saved for the day to the information repository. That is, the attaching apparatus in the embodiment of the present application may include: data storage device, sensing device and control system.

In addition to the above-described raw data collected in real time during the running of the vehicle, the related data stored in the information base may be data for controlling the vehicle to automatically drive, which is processed based on the raw data. In the above example of the obstacle, the obstacle picture shot by the camera sensor is the original data, which may include a lot of information, and the data that may affect the autopilot may be obtained from the obstacle picture through the processing such as image segmentation and obstacle contour expansion, and specifically may include the position information of the target obstacle relative to the vehicle and the running speed information of the target obstacle, where the data obtained through the processing is the data for controlling the vehicle to autopilot.

The data stored in the information base for controlling the vehicle to automatically drive may be processed by the control system on line and then sent to the second server, and the second server stores the data in the information base, for example, the control system processes the data for controlling the vehicle to automatically drive and then sends the data to the second server in real time, or the control system may first send the processed data for controlling the vehicle to automatically drive to the data storage device for storage, and then send the data to the second server through the data storage device at regular time. In addition, the data stored in the information base for controlling the vehicle to automatically drive may be offline processed by the second server according to the original data stored in the information base and then stored in the information base, which is not particularly limited in the embodiment of the present application.

In the practical application process, the original data stored in the information base and the data for controlling the vehicle to automatically drive may be data of a picture type, point cloud data and data of a character string type. For the data of the picture type and the point cloud data, the data volume is large, so that a large storage space is occupied, and the contained information is rich, so that abnormal judgment is difficult to quickly judge, and the performance analysis efficiency is low. Therefore, the second server side can perform data processing and data fusion on the obtained data to obtain the data of the picture type and the vehicle information represented by the point cloud data. That is, the related data stored in the information base may be vehicle information obtained from raw data and data for controlling the vehicle to automatically drive.

Taking the data related to the obstacle around the vehicle as an example, the data can be embodied as an obstacle picture shot by a camera sensor, obstacle point cloud data scanned by a laser radar and the like, when the second service end extracts vehicle information from the data, the second service end can firstly perform data processing to identify the obstacle information contained in the picture and the obstacle information represented by the point cloud data, and then obtain target obstacle information which influences automatic driving from the obstacle information identified by the two types of data through data fusion, for example, the position information of the target obstacle relative to the vehicle, the running speed information of the target obstacle and the like, and the vehicle information extracted from the obstacle picture and the obstacle point cloud data.

2. And vehicle information type and abnormality judgment rule information required for performing performance analysis on analysis objects related to the vehicle.

As described above, the whole vehicle, the device of the vehicle itself, the add-on device of the vehicle, the function module for performing automatic driving control of the vehicle, the algorithm for realizing the control function, and the like may be used as target analysis objects, the performance of different analysis objects may be reflected by different vehicle information, and considering that the embodiment of the application reflects the performance of the analysis objects mainly by the abnormal condition of the vehicle information, when performing the vehicle performance analysis, the vehicle information type and the abnormal judgment rule information corresponding to the analysis objects may also be obtained. The correspondence between the analysis object and the vehicle information type and abnormality determination rule information may be as shown in table 2 below.

TABLE 2

In order to better understand the scheme of the embodiment of the present application, the following illustrates the type of the vehicle information and the abnormality determination rule information corresponding to the analysis object.

If the analysis object is an algorithm for controlling the vehicle anti-line and the collision road edge, the corresponding vehicle information type may be the position information of the vehicle, the length information and the width information of the vehicle itself, and the lane related information (which may be obtained by the prior map information), and the abnormality judgment rule information may be the line prohibition and the collision road edge.

If the analysis object is an algorithm for controlling the vehicle to stop according to the traffic light information, the corresponding vehicle information type can be traffic information of the vehicle at the intersection and traffic light information corresponding to the intersection, and the abnormal judgment rule information can be that the traffic light information is forbidden to pass when the traffic light information is red light.

In general, the fluctuation of the electricity consumption of the additional equipment in the automatic driving process is variable, and under the condition that the fluctuation of the voltage of the additional equipment suddenly increases, etc., if the performance of the power supply module of the vehicle is better, the power supply of the equipment of the vehicle and other additional equipment cannot be affected, so that the performance of the power supply module can be analyzed based on the voltage value information of the additional equipment. That is, if the analysis object is a power supply module, the corresponding vehicle information type may be a voltage value of the add-on device, and the abnormality determination rule information may be allowable fluctuation range information of the voltage value. In addition, the voltage value information of the add-on device can reflect the performance state of the add-on device to a certain extent, so that when the add-on device is taken as an analysis object, the voltage value of the add-on device can also be taken as a vehicle information type corresponding to the analysis object for analyzing the performance of the add-on device, and the corresponding abnormality judgment rule information can also be the allowable fluctuation range information of the voltage value.

If the analysis object is a vehicle control module, the corresponding vehicle information type may be automatic driving state information, acceleration information, deceleration information, and turning angle information of the vehicle, and the abnormality judgment rule information may be abnormal takeover prohibition, acceleration upper limit information, deceleration lower limit information, and upper limit information of a deceleration derivative, and continuous angle upper limit information of a turning angle. For example, the upper limit value of the acceleration may be 3m/s ² The lower limit value of the deceleration can be-5 m/s ² The derivative upper limit value of the deceleration may be 10m/s ³ The continuous angle upper limit value of the turning angle may be 100 ° (i.e.Whether the turning angle is abnormal between two adjacent data frames). The automatic driving state information of the vehicle CAN be embodied as an automatic driving state or a manual driving state, and the turning angle information CAN be embodied as angle information or moment information of a steering wheel corner acquired from the CAN bus.

If the analysis object is a whole vehicle, all the vehicle information extracted from the information base and the abnormality judgment rule information related to each vehicle information can be correspondingly used.

S102: and the first client submits the relevant information of the target analysis object to the first service.

S103: the first service end determines a target analysis object to be analyzed according to the obtained information, and extracts target vehicle information under the vehicle information type corresponding to the target analysis object from the vehicle information base.

Specifically, the first client may provide a first operation option for submitting the information related to the target analysis object, and submit the information related to the target analysis object obtained through the first operation option to the first service end, so that the first service end determines the target analysis object according to the obtained information, and further obtains corresponding target vehicle information and abnormality judgment rule information to perform performance analysis.

As an example, the target analysis object related information submitted by the first client may be identification information of the target analysis object, or may be other information capable of determining the target analysis object. Taking the whole vehicle as an example, other information submitted by the first client side can be time information to be analyzed, and the first server side can extract all target vehicle information corresponding to the time information to be analyzed from the information base, so that the whole vehicle performance analysis is realized. Taking an algorithm for controlling the vehicle to stop according to the signal lamp information as an example, other information submitted by the first client side can be intersection information to be analyzed, and the first service side can extract traffic information and traffic signal lamp information corresponding to the intersection information to be analyzed from an information base to perform algorithm performance analysis.

S104: and obtaining a performance analysis result of the target analysis object according to the target vehicle information and the abnormality judgment rule information.

After the target analysis object is determined according to the information submitted by the first client, the corresponding target vehicle information can be extracted from the vehicle information base, and the performance analysis result of the target analysis object can be obtained based on the target vehicle information and the abnormality judgment rule information. In the embodiment of the application, the performance analysis result of the target analysis object can be reflected as whether the target vehicle information is abnormal or not, and if the target vehicle information is abnormal according to the target vehicle information and the abnormality judgment rule information, the performance analysis result of the target analysis object with poorer performance can be obtained; otherwise, a performance analysis result with good performance of the target analysis object can be obtained.

The performance analysis results of the target analysis object in the embodiment of the present application will be explained below with reference to the above-described examples.

In the above example of the algorithm for controlling the vehicle anti-line-pressing and collision road edge, if it is determined that the vehicle does not have a line-pressing condition (i.e., the vehicle does not exceed the boundary of the lane) according to the position information of the vehicle and the width information of the vehicle itself, and if it is determined that the vehicle head does not exceed the road edge (i.e., the vehicle does not exceed the boundary of the lane) according to the position information of the vehicle and the length information of the vehicle itself, a performance analysis result with better performance of the algorithm can be obtained.

Or in the above example, the voltage information of the add-on device may reflect the performance of the power supply module and the add-on device, and if the positioning sensor has a voltage jump, that is, the voltage value of the positioning sensor exceeds the allowable fluctuation range of the voltage value, a performance analysis result of poor performance of the power supply module of the vehicle and a performance analysis result of poor performance of the positioning sensor may be obtained. It can be understood that the user can conduct the reason investigation according to the performance analysis result, determine whether the voltage jump is caused by the aging of the components of the positioning sensor or the voltage jump is caused by the poor stability of the power supply module, if the voltage jump is caused by the aging of the components of the positioning sensor, the hardware can be detected and replaced before serious problems occur, and if the stability of the power supply module is poor, the related algorithm can be improved and optimized.

As an example, after obtaining the performance analysis result of the target analysis object, the performance analysis result may be sent to the client for visual display. In addition, when the performance analysis result indicates that the performance of the target analysis object is poor, the first service end can also generate corresponding early warning information, and the first client end performs emphasis marking when the performance analysis result is displayed.

In the above example of the vehicle control module, the target analysis object may correspond to a plurality of items of target vehicle information, where when any item of target vehicle information is abnormal, a performance analysis result of poor performance of the vehicle control module may be obtained. For example, acceleration information of the vehicle is less than 3m/s ² Deceleration information greater than-5 m/s ² The derivative of the deceleration is less than 10m/s ³ The continuous angle of the turning angle between two adjacent frames is smaller than 100 degrees, but abnormal takeover exists when the vehicle is determined to be in an emergency state (for example, the vehicle is about to run a red light, collide with the vehicle and the like) according to the automatic driving state information of the vehicle, and meanwhile, the performance analysis result of poor performance of the vehicle control module can be displayed through the client, and meanwhile, early warning information generated by the abnormal takeover can be prominently displayed to prompt a user to improve and optimize the performance of the vehicle.

Example 2

The implementation process of obtaining the performance variation trend information of the target analysis object in the target period of time according to the present embodiment is explained below with reference to the flowchart shown in fig. 3.

S201: the method comprises the steps that a first service end obtains a vehicle information base and vehicle information type and abnormality judgment rule information required by performance analysis of an analysis object related to a vehicle, wherein the vehicle information base stores related data obtained in the process of automatic driving control of the vehicle and time information corresponding to the related data.

In this embodiment, the second client may further obtain time information corresponding to the related data, and submit the time information to the second server, that is, the time information corresponding to the related data may also be stored in the vehicle information base. Specifically, the time information of the related data stored in the information base can be determined according to the acquisition time information corresponding to the original data.

S202: and the first client submits the target analysis object related information and the target time period information to the first service terminal.

In the embodiment of the application, the first client can also provide a second operation option for submitting the target time period information, and submit the target time period information to the first service end after the target time period information is obtained through the second operation option. Specifically, the first client may submit the target period information to the first service in a plurality of ways. In one manner, the target period information submitted by the first client may be information related to the performance analysis frequency, for example, the target period information may be that the target analysis object is subjected to performance analysis once per week using the related data obtained in the present week, that is, the target period has a time length of 7 days, and performance analysis is performed at a fixed frequency. Alternatively, in another manner, the target time period information submitted by the first client may be start-stop time information, for example, the target time period information may be 2019.01.01-2019.01.03, that is, performance analysis is performed on the target analysis object by using the related data obtained in 2019.01.01-2019.01.03, that is, the time length of the target time period may be flexibly determined to be a variable time length according to the requirement, and the analysis frequency may not be fixed.

S203: and the first service end determines a target analysis object and target time period information according to the obtained information so as to extract target vehicle information in the target time period under the type of the vehicle information corresponding to the target analysis object from the vehicle information base.

S204: and obtaining performance change trend information of the target analysis object in the target time period according to the target vehicle information and the abnormality judgment rule information.

The present embodiment uses the performance analysis result obtained by the target vehicle information and the abnormality judgment rule information as the performance change trend information of the target analysis object in the target period. The performance change trend information may be represented as abnormal change information of the target vehicle information in the target time period, for example, the target vehicle information with earlier time information in the target time period is abnormal, and the target vehicle information with later time information is recovered to be normal, so that the performance change trend information of the target analysis object in the target time period may be determined to be that the performance is gradually optimized and improved. In addition, the performance change trend information may be further represented as frequency information of abnormality of the target vehicle information in the target time period, for example, frequency of abnormality of the target vehicle information in which time information is early in the target time period is high, frequency of abnormality of the target vehicle information in which time information is later is low, and it may be determined that the performance change trend information of the target analysis object in the target time period is that the performance is gradually optimized.

The performance change trend information of the target analysis object in the target period in this embodiment will be described by taking 2019.01.01 to 2019.01.03 as an example.

In the above examples of the power supply module and the positioning sensor, if the voltage values of the positioning sensors 2019.01.01-2019.01.02 are all within the allowable fluctuation range, the voltage value of the positioning sensor 2019.01.03 jumps beyond the allowable fluctuation range, it can be determined that the voltage of the positioning sensor starts to be abnormal, and performance change trend information of the power supply module and the performance of the positioning sensor, which are gradually worse, can be obtained.

In the above example of the algorithm for controlling the vehicle to stop according to the traffic light information, if the following information is obtained according to the traffic information of the vehicle at the intersection a in the target time period and the traffic light information of the intersection a corresponding to the traffic information: 2019.01.01 is 100 times, 2019.01.02 is 50 times, 2019.01.03 is 30 times, and thus it is known that the number of times that the target vehicle information does not meet the abnormality judgment rule information is gradually reduced and the frequency is gradually reduced, so that the performance change trend information of the algorithm is gradually improved.

The portions not described in detail in this embodiment can be described with reference to embodiment 1.

As an example, after obtaining the performance change trend information of the target analysis object, the first server may further perform the following processing:

1. when the performance change trend information indicates that the performance of the target analysis object is gradually deteriorated, the first service end can generate early warning information aiming at the gradually deteriorated performance and send the early warning information to the first client end for prompting. As in the example above, the first client may highlight the gradual degradation of the performance of the power module of the vehicle and the gradual degradation of the performance of the positioning sensor, so as to alert the user to check the cause of the degradation of the performance, so as to improve and optimize the algorithm of the positioning sensor or the power module.

2. The first service end can obtain automatic drivability improvement information related to the target analysis object according to the performance change trend information, and sends the automatic drivability improvement information to the first client.

As an example, the first service end may determine the target analysis object as a performance improvement point, and obtain the autopilot performance improvement information. When the performance of the power supply module and the positioning sensor is determined to be gradually deteriorated according to the voltage value of the positioning sensor, the power supply module and the positioning sensor can be determined to be a performance improvement point, corresponding automatic driving performance improvement information is obtained and sent to the first client for prompting, and a user is reminded of improving and optimizing the performance.

Or, the performance change trend information indicates that the performance of the target analysis object is gradually improved, and a new problem related to the target analysis object occurs, and the first service end can obtain the automatic drivability improvement information based on the new problem. As in the example illustrated above, the performance of the algorithm for determining the control of the stopping of the vehicle according to the traffic light information is gradually getting better, i.e. the vehicle will stop at the intersection a when the traffic light information is red light, but the deceleration at the time of stopping is very large (e.g. the deceleration is-10 m/s) ² ) Since the excessive deceleration generally causes severe wear of the tire and the passenger feel worse and less comfortable, the excessive deceleration can be determined as autopilotAnd the promotion information is sent to the first client side prompt for improvement and optimization.

3. For abnormal target vehicle information, the first service end can also analyze and obtain target original data corresponding to the target vehicle information, and scene restoration is carried out through the target original data to analyze the reason for causing the abnormality of the target vehicle information. Corresponding to this, the related data in the information base may further include a correspondence relationship between the vehicle information and the original data from which the vehicle information is obtained, and may be specifically shown in table 3 below.

TABLE 3 Table 3

Specifically, if the target vehicle information is determined to be abnormal according to the target vehicle information and the abnormality judgment rule information, the first service end can obtain target original data corresponding to the target vehicle information according to the corresponding relation stored in the information base, and further obtain environment information in the automatic driving process of the vehicle corresponding to the acquisition time information of the target original data; if the environment information is determined to cause the abnormality of the target vehicle information, the environment information can be used as the condition information of the target vehicle information, so that the first service end can reject the target vehicle information with the condition information and then perform performance analysis. That is, the target analysis object is not subjected to performance analysis using the target vehicle information having the condition information, and of course, the target vehicle information having no condition information in the information base still needs to be compared with the corresponding abnormality judgment rule information to determine whether or not there is an abnormality. As one example, the environmental information may include weather information, and road condition information during the running of the vehicle.

Taking the target vehicle information as deceleration information of the vehicle as an example, if the target vehicle information is abnormal, that is, deceleration is too large, and deceleration is lower than a lower limit value, target original data corresponding to the abnormal deceleration information can be obtained, for example, the target original data at least can comprise data related to obstacles around the vehicle during emergency parking, and road condition information at the time of collecting the target original data can be restored according to the collecting time information of the target original data. If the road condition information indicates that an obstacle affecting the automatic driving of the vehicle exists in the running process of the vehicle, the reason for the abnormal deceleration information can be determined to be in order to avoid the obstacle, the road condition information can be determined as the condition information of the deceleration information, and the vehicle performance analysis is carried out without using the oversized deceleration information appearing under the road condition information.

It can be understood that when it is determined that the environmental information does not cause the abnormality of the target vehicle information, the first service end may further obtain automatic drivability improvement information related to the target vehicle information, and send the automatic drivability improvement information to the first client for prompting. In the above example, if the road condition information indicates that the road condition during the running of the vehicle is normal, the abnormal deceleration information may be caused by a related algorithm for controlling to implement emergency stop, for example, the prediction abnormality of the prediction module may cause the planning module to determine that emergency stop is required, and the prediction algorithm may be determined to be that the automatic drivability improvement information is sent to the first client to prompt for improvement and optimization.

Example 3

Embodiment 3 corresponds to embodiment 1, and from the perspective of the first service end, a method for obtaining vehicle performance information is provided, and referring to fig. 4, the method may specifically include:

s301: the method comprises the steps that a first service end obtains a vehicle information base and vehicle information type and abnormality judgment rule information required by performance analysis of an analysis object related to a vehicle, wherein the vehicle information base stores related data obtained in the process of automatic driving control of the vehicle;

S302: determining a target analysis object to be analyzed, and extracting target vehicle information under a vehicle information type corresponding to the target analysis object from the vehicle information base;

s303: and obtaining a performance analysis result of the target analysis object according to the target vehicle information and the abnormality judgment rule information.

Example 4

Embodiment 4 corresponds to embodiment 1, and from the perspective of the first client, a method for obtaining vehicle performance information is provided, and referring to fig. 5, the method may specifically include:

s401: the first client provides a first operation option for submitting relevant information of the target analysis object;

s402: after obtaining the related information of the target analysis object through the first operation option, submitting the related information to a first service end so that the first service end can determine the target analysis object according to the obtained information and extract target vehicle information under the vehicle information type corresponding to the target analysis object from a vehicle information base; and obtaining a performance analysis result of the target analysis object according to the target vehicle information and the abnormality judgment rule information.

Example 5

Embodiment 5 corresponds to embodiment 1, and from the perspective of the second service end, a method for obtaining automatic driving data of a vehicle is provided, and referring to fig. 6, the method may specifically include:

S501: the second server side obtains related data for automatically controlling the vehicle in the running process of the vehicle;

s502: generating a vehicle information base, storing the related data into the vehicle information base, so that after a first service end determines a target analysis object to be analyzed, extracting target vehicle information under a vehicle information type corresponding to the target analysis object from the vehicle information base, and obtaining a performance analysis result of the target analysis object according to the target vehicle information and the corresponding abnormality judgment rule information.

Example 6

Embodiment 6 corresponds to embodiment 1, and from the perspective of the second client, a method for obtaining vehicle autopilot data is provided, and referring to fig. 7, the method may specifically include:

s601: the method comprises the steps that a second client obtains relevant data for automatically controlling the vehicle in the running process of the vehicle;

s602: and sending the related data to a second server side so that the second server side generates a vehicle information base for storing the related data, and the first server side extracts target vehicle information under the vehicle information type corresponding to the target analysis object from the vehicle information base to perform performance analysis.

For the undescribed portions of the foregoing embodiments 3 to 6, reference may be made to the descriptions of the foregoing embodiments, and the description is omitted here.

Corresponding to embodiment 1, the embodiment of the present application further provides an apparatus for obtaining vehicle performance information, referring to fig. 8, where the apparatus is applied to a first service end, and includes:

an information obtaining unit 701, configured to obtain a vehicle information base, and vehicle information type and abnormality judgment rule information required for performing performance analysis on an analysis object related to a vehicle, where the vehicle information base stores related data obtained in an automatic driving control process of the vehicle;

a target vehicle information extraction unit 702 configured to determine a target analysis object to be analyzed, and extract target vehicle information under a vehicle information type corresponding to the target analysis object from the vehicle information base;

a performance analysis result obtaining unit 703 configured to obtain a performance analysis result for the target analysis object based on the target vehicle information and the abnormality judgment rule information.

Wherein, the vehicle information base also stores the time information corresponding to the related data;

the target vehicle information extraction unit is specifically configured to: determining target time period information so as to extract target vehicle information in the target time period under the type of the vehicle information corresponding to the target analysis object from the vehicle information base;

The performance analysis result obtaining unit is specifically configured to: and obtaining performance change trend information of the target analysis object in the target time period.

Wherein the apparatus further comprises:

and the automatic drivability improvement information sending unit is used for obtaining automatic drivability improvement information related to the target analysis object according to the performance change trend information and sending the automatic drivability improvement information to the client.

Wherein the apparatus further comprises:

and the early warning information sending unit is used for generating corresponding early warning information when the performance change trend information shows that the performance related to the target analysis object is gradually deteriorated, and sending the early warning information to the client.

Wherein the vehicle-related analysis object includes: the vehicle comprises a whole vehicle, equipment of the vehicle, additional equipment of the vehicle, a functional module for controlling the automatic driving of the vehicle and an algorithm for realizing a control function.

Wherein the vehicle information includes: the operation state information of the vehicle itself, the position information of the vehicle, the obstacle information around the vehicle, the running state information of the vehicle, and the operation state information of the attachment device of the vehicle.

The target analysis object is an algorithm for controlling the vehicle to prevent line pressing and collision with the road edge, and the target vehicle information comprises: position information of the vehicle, length information and width information of the vehicle itself, and lane-related information; the abnormality judgment rule information includes: forbidding line pressing and colliding with the edge of the road;

the obtaining the performance analysis result of the target analysis object comprises the following steps:

and determining whether the vehicle exceeds the boundary of the lane according to the position information of the vehicle and the width information, and determining whether the vehicle exceeds the edge line of the lane according to the position information of the vehicle and the length information, so as to obtain the performance analysis result of an algorithm for controlling the vehicle anti-pressing line and the collision road edge.

The target analysis object is an algorithm for controlling the vehicle to stop according to signal lamp information, and the target vehicle information comprises: traffic information of vehicles at an intersection and traffic signal lamp information corresponding to the intersection; the abnormality judgment rule information includes: the traffic signal lamp information is a red lamp, and the traffic is forbidden;

And determining whether the vehicle parks in the red light according to the traffic information of the vehicle at the intersection and the corresponding traffic signal lamp information, and obtaining a performance analysis result of an algorithm for controlling the vehicle to park according to the signal lamp information.

The target analysis object is a power supply module of a vehicle, and the target vehicle information comprises: adding voltage value information of the equipment; the abnormality judgment rule information includes: allowable fluctuation range information of the voltage value;

and obtaining a performance analysis result of the power supply module of the vehicle according to whether the voltage value of the additional equipment exceeds the allowable fluctuation range of the voltage value.

Wherein the target analysis object is an add-on device of a vehicle, and the target vehicle information includes: the voltage value information of the adding equipment; the abnormality judgment rule information includes: allowable fluctuation range information of the voltage value;

and obtaining a performance analysis result of the adding equipment according to whether the voltage value of the adding equipment exceeds the allowable fluctuation range of the voltage value.

The target analysis object is a vehicle control module, and the target vehicle information includes: automatic driving state information, acceleration information, deceleration information, and turning angle information of the vehicle; the abnormality judgment rule information includes: disabling abnormal takeover, acceleration upper limit information, deceleration lower limit information, and upper limit information of deceleration derivative, and continuous angle upper limit information of turning angle;

and determining whether abnormal takeover occurs according to the automatic driving state information of the vehicle, whether the acceleration information exceeds the acceleration upper limit value, whether the deceleration information is lower than the deceleration lower limit value, whether the derivative of the deceleration exceeds the deceleration derivative upper limit value, and whether the continuous angle of the turning angle in two adjacent frames exceeds the continuous angle upper limit value, so as to obtain the performance analysis result of the vehicle control module.

Wherein the related data includes vehicle information, the apparatus further comprising:

the data acquisition unit is used for acquiring original data acquired in the automatic driving process of the vehicle and data which is acquired based on the original data and is used for controlling the vehicle to automatically drive;

And a vehicle information obtaining unit configured to obtain the vehicle information from the raw data and the data for controlling the vehicle to perform automatic driving.

Wherein the related data further includes a correspondence between the vehicle information and the original data from which the vehicle information was obtained,

the apparatus further comprises:

a target raw data obtaining unit, configured to obtain target raw data corresponding to the target vehicle information when it is determined that the target vehicle information is abnormal according to the target vehicle information and the abnormality determination rule information;

an environmental information obtaining unit for obtaining environmental information in the automatic driving process of the vehicle corresponding to the acquisition time information of the target raw data;

and the condition information determining unit is used for determining the environment information as the condition information of the target vehicle information when determining that the environment information causes the abnormality of the target vehicle information, so that the service end eliminates the target vehicle information with the condition information and then performs performance analysis.

The environment information comprises weather information and road condition information in the automatic driving process of the vehicle.

Corresponding to embodiment 1, the embodiment of the present application further provides an apparatus for obtaining vehicle performance information, referring to fig. 9, which is applied to the first client, and includes:

A first operation option providing unit 801 for providing a first operation option for submitting information about a target analysis object;

an information submitting unit 802, configured to obtain information related to the target analysis object through the first operation option, and submit the information to a server, so that the server determines the target analysis object according to the obtained information, and extracts target vehicle information under a vehicle information type corresponding to the target analysis object from a vehicle information base; and obtaining a performance analysis result of the target analysis object according to the target vehicle information and the abnormality judgment rule information.

The apparatus further comprises:

a second operation option providing unit for providing a second operation option for submitting the target time period information;

a target time period information submitting unit, configured to obtain the target time period information through the second operation option, and submit the target time period information to the server, so that the server extracts target vehicle information in the target time period under a vehicle information type corresponding to the target analysis object from the vehicle information base; and obtaining the performance change trend information of the target analysis object in the target time period according to the target vehicle information and the abnormality judgment rule information.

Corresponding to embodiment 1, the embodiment of the present application further provides a device for obtaining automatic driving data of a vehicle, referring to fig. 10, where the device is applied to a second service end, and includes:

a data obtaining unit 901, configured to obtain related data for performing automatic driving control on a vehicle during a running process of the vehicle;

the data storage unit 902 is configured to generate a vehicle information base, store the related data in the vehicle information base, so that after the first service end determines a target analysis object to be analyzed, extract target vehicle information under a vehicle information type corresponding to the target analysis object from the vehicle information base, and obtain a performance analysis result of the target analysis object according to the target vehicle information and the corresponding abnormality judgment rule information.

Corresponding to embodiment 1, the embodiment of the present application further provides an apparatus for obtaining automatic driving data of a vehicle, referring to fig. 11, where the apparatus is applied to a second client, and includes:

a data obtaining unit 1001 configured to obtain related data for performing automatic driving control on a vehicle during running of the vehicle;

the data sending unit 1002 is configured to send the related data to a second server, so that the second server generates a vehicle information base storing the related data, and the first server extracts, from the vehicle information base, target vehicle information under a vehicle information type corresponding to a target analysis object, for performance analysis.

In addition, the embodiment of the application also provides electronic equipment, which comprises:

one or more processors; and

And an electronic device comprising:

one or more processors; and

And an electronic device comprising:

one or more processors; and

And an electronic device comprising:

one or more processors; and

Fig. 12 illustrates an architecture of a computer system, which may include a processor 1110, a video display adapter 1111, a disk drive 1112, an input/output interface 1113, a network interface 1114, and a memory 1120, among others. The processor 1110, video display adapter 1111, disk drive 1112, input/output interface 1113, network interface 1114, and memory 1120 may be communicatively coupled via a communication bus 1130.

The processor 1110 may be implemented by a general-purpose CPU (Central Processing Unit ), a microprocessor, an application-specific integrated circuit (Application Specific Integrated Circuit, ASIC), or one or more integrated circuits, etc., for executing relevant programs to implement the technical scheme provided by the present application.

The Memory 1120 may be implemented in the form of ROM (Read Only Memory), RAM (Random Access Memory ), static storage device, dynamic storage device, or the like. Memory 1120 may store an operating system 1121 for controlling the operation of computer system 1100, and a Basic Input Output System (BIOS) for controlling the low-level operation of computer system 1100. In addition, a web browser 1123, a data storage management system 1124, a system 1125 for obtaining vehicle performance information, and the like may also be stored. The system 1125 for obtaining vehicle performance information may be a first server in the embodiment of the present application, where the operations of the foregoing steps are specifically implemented. In general, when implemented in software or firmware, the relevant program code is stored in memory 1120 and executed by processor 1110.

The input/output interface 1113 is used to connect with an input/output module to realize information input and output. The input/output module may be configured as a component in a device (not shown) or may be external to the device to provide corresponding functionality. Wherein the input devices may include a keyboard, mouse, touch screen, microphone, various types of sensors, etc., and the output devices may include a display, speaker, vibrator, indicator lights, etc.

The network interface 1114 is used to connect communication modules (not shown) to enable communication interactions of the device with other devices. The communication module may implement communication through a wired manner (such as USB, network cable, etc.), or may implement communication through a wireless manner (such as mobile network, WIFI, bluetooth, etc.).

Bus 1130 includes a path to transfer information between components of the device (e.g., processor 1110, video display adapter 1111, disk drive 1112, input/output interface 1113, network interface 1114, and memory 1120).

In addition, the computer system 1100 may also obtain information of specific acquisition conditions from the virtual resource object acquisition condition information database 1141 for making condition judgment, and so on.

It is noted that although the above devices illustrate only the processor 1110, the video display adapter 1111, the disk drive 1112, the input/output interface 1113, the network interface 1114, the memory 1120, the bus 1130, etc., in an implementation, the device may include other components necessary to achieve proper operation. Furthermore, it will be appreciated by those skilled in the art that the apparatus may include only the components necessary to implement the present application, and not all of the components shown in the drawings.

In which fig. 13 illustrates an architecture of an electronic device, for example, device 1200 may be a mobile phone, a computer, a digital broadcast terminal, a messaging device, a game console, a tablet device, a medical device, an exercise device, a personal digital assistant, an aircraft, and so forth.

Referring to fig. 13, device 1200 may include one or more of the following components: a processing component 1202, a memory 1204, a power component 1206, a multimedia component 1208, an audio component 1210, an input/output (I/O) interface 1212, a sensor component 1214, and a communications component 1216.

The processing component 1202 generally controls overall operation of the device 1200, such as operations associated with display, telephone calls, data communications, camera operations, and recording operations. The processing element 1202 may include one or more processors 1220 to execute instructions to perform all or part of the steps of the methods provided by the present disclosure. Further, the processing component 1202 may include one or more modules that facilitate interactions between the processing component 1202 and other components. For example, the processing component 1202 may include a multimedia module to facilitate interaction between the multimedia component 1208 and the processing component 1202.

Memory 1204 is configured to store various types of data to support operations at device 1200. Examples of such data include instructions for any application or method operating on device 1200, contact data, phonebook data, messages, pictures, videos, and the like. The memory 1204 may be implemented by any type or combination of volatile or non-volatile memory devices, such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disk.

The power supply assembly 1206 provides power to the various components of the apparatus 1200. The power supply components 1206 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power for the device 1200.

The multimedia component 1208 includes a screen between the device 1200 and the user that provides an output interface. In some embodiments, the screen may include a Liquid Crystal Display (LCD) and a Touch Panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive input signals from a user. The touch panel includes one or more touch sensors to sense touches, swipes, and gestures on the touch panel. The touch sensor may sense not only the boundary of a touch or sliding action, but also the duration and pressure associated with the touch or sliding operation. In some embodiments, the multimedia component 1208 includes a front camera and/or a rear camera. The front camera and/or the rear camera may receive external multimedia data when the device 1200 is in an operational mode, such as a shooting mode or a video mode. Each front camera and rear camera may be a fixed optical lens system or have focal length and optical zoom capabilities.

The audio component 1210 is configured to output and/or input audio signals. For example, the audio component 1210 includes a Microphone (MIC) configured to receive external audio signals when the device 1200 is in an operational mode, such as a call mode, a recording mode, and a speech recognition mode. The received audio signals may be further stored in the memory 1204 or transmitted via the communications component 1216. In some embodiments, audio assembly 1210 further includes a speaker for outputting audio signals.

The I/O interface 1212 provides an interface between the processing component 1202 and peripheral interface modules, which may be a keyboard, click wheel, buttons, etc. These buttons may include, but are not limited to: homepage button, volume button, start button, and lock button.

The sensor assembly 1214 includes one or more sensors for providing status assessment of various aspects of the device 1200. For example, the sensor assembly 1214 may detect an on/off state of the device 1200, a relative positioning of the components, such as a display and keypad of the device 1200, a change in position of the device 1200 or a component of the device 1200, the presence or absence of user contact with the device 1200, an orientation or acceleration/deceleration of the device 1200, and a change in temperature of the device 1200. The sensor assembly 1214 may include a proximity sensor configured to detect the presence of nearby objects without any physical contact. The sensor assembly 1214 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor assembly 1214 may also include an acceleration sensor, a gyroscopic sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.

The communications component 1216 is configured to facilitate communication between the device 1200 and other devices, either wired or wireless. The device 1200 may access a wireless network based on a communication standard, such as WiFi,2G, or 3G, or a combination thereof. In one exemplary embodiment, the communication part 1216 receives a broadcast signal or broadcast-related information from an external broadcast management system via a broadcast channel. In one exemplary embodiment, the communications component 1216 further includes a Near Field Communication (NFC) module to facilitate short range communications. For example, the NFC module may be implemented based on Radio Frequency Identification (RFID) technology, infrared data association (IrDA) technology, ultra Wideband (UWB) technology, bluetooth (BT) technology, and other technologies.

In an exemplary embodiment, the apparatus 1200 may be implemented by one or more Application Specific Integrated Circuits (ASICs), digital Signal Processors (DSPs), digital Signal Processing Devices (DSPDs), programmable Logic Devices (PLDs), field Programmable Gate Arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic elements for executing the methods described above.

In an exemplary embodiment, a non-transitory computer readable storage medium is also provided, such as memory 1204, comprising instructions executable by processor 1220 of device 1200 to perform the methods provided by the disclosed subject matter. For example, the non-transitory computer readable storage medium may be ROM, random Access Memory (RAM), CD-ROM, magnetic tape, floppy disk, optical data storage device, etc.

From the above description of embodiments, it will be apparent to those skilled in the art that the present application may be implemented in software plus a necessary general hardware platform. Based on such understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art in the form of a software product, which may be stored in a storage medium, such as a ROM/RAM, a magnetic disk, an optical disk, etc., including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the method described in the embodiments or some parts of the embodiments of the present application.

In this specification, each embodiment is described in a progressive manner, and identical and similar parts of each embodiment are all referred to each other, and each embodiment mainly describes differences from other embodiments. In particular, for a system or system embodiment, since it is substantially similar to a method embodiment, the description is relatively simple, with reference to the description of the method embodiment being made in part. The systems and system embodiments described above are merely illustrative, wherein the elements illustrated as separate elements may or may not be physically separate, and the elements shown as elements may or may not be physical elements, may be located in one place, or may be distributed over a plurality of network elements. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art will understand and implement the present application without undue burden.

The method, system, device and electronic equipment for obtaining vehicle performance information provided by the application are described in detail, and specific examples are applied to illustrate the principles and embodiments of the application, and the description of the examples is only used for helping to understand the method and core ideas of the application; also, it is within the scope of the present application to be modified by those of ordinary skill in the art in light of the present teachings. In view of the foregoing, this description should not be construed as limiting the application.

Claims

1. A method for obtaining vehicle performance information, comprising:

the method comprises the steps that a first service end obtains a vehicle information base and vehicle information type and abnormality judgment rule information required by performance analysis of an analysis object related to a vehicle, wherein the vehicle information base stores related data obtained in the process of automatic driving control of the vehicle and time information corresponding to the related data;

determining a target analysis object to be analyzed, extracting target vehicle information under a vehicle information type corresponding to the target analysis object from the vehicle information base, and determining target time period information so as to extract target vehicle information under the vehicle information type corresponding to the target analysis object from the vehicle information base within the target time period;

And obtaining a performance analysis result of the target analysis object according to the target vehicle information and the abnormality judgment rule information, wherein the performance analysis result comprises performance change trend information of the target analysis object in the target time period.

2. The method as recited in claim 1, further comprising:

and acquiring automatic drivability improvement information related to the target analysis object according to the performance change trend information, and sending the automatic drivability improvement information to a client.

3. The method as recited in claim 1, further comprising:

and if the performance change trend information indicates that the performance related to the target analysis object is gradually deteriorated, generating corresponding early warning information, and sending the early warning information to a client.

4. The method of claim 1, wherein the step of determining the position of the substrate comprises,

the vehicle-related analysis object includes:

the vehicle comprises a whole vehicle, equipment of the vehicle, additional equipment of the vehicle, a functional module for controlling the automatic driving of the vehicle and an algorithm for realizing a control function.

5. The method of claim 1, wherein the step of determining the position of the substrate comprises,

The vehicle information includes:

the operation state information of the vehicle itself, the position information of the vehicle, the obstacle information around the vehicle, the running state information of the vehicle, and the operation state information of the attachment device of the vehicle.

6. The method according to claim 4 or 5, wherein,

and determining whether the vehicle exceeds the boundary of the lane according to the position information of the vehicle and the width information, and determining whether the vehicle exceeds the edge line of the lane according to the position information of the vehicle and the length information, so as to obtain the performance analysis result of the algorithm for controlling the vehicle anti-pressing line and the collision road edge.

7. The method according to claim 4 or 5, wherein,

and determining whether the vehicle parks in the red light according to the traffic information of the vehicle at the intersection and the corresponding traffic signal lamp information, and obtaining a performance analysis result of the algorithm for controlling the vehicle to park according to the signal lamp information.

8. The method according to claim 4 or 5, wherein,

and obtaining a performance analysis result of the power supply module according to whether the voltage value of the additional equipment exceeds the allowable fluctuation range of the voltage value.

9. The method according to claim 4 or 5, wherein,

the target analysis object is an add-on device of a vehicle, and the target vehicle information includes: the voltage value information of the adding equipment; the abnormality judgment rule information includes: allowable fluctuation range information of the voltage value;

10. The method according to claim 4 or 5, wherein,

11. The method of claim 1, wherein the step of determining the position of the substrate comprises,

the related data includes vehicle information, the method further comprising:

acquiring original data acquired in the automatic driving process of the vehicle and data which is acquired based on the original data and is used for controlling the vehicle to automatically drive;

and obtaining the vehicle information from the original data and the data for controlling the vehicle to automatically drive.

12. The method of claim 11, wherein the step of determining the position of the probe is performed,

the related data further includes correspondence between the vehicle information and the original data from which the vehicle information was obtained,

the method further comprises the steps of:

if the target vehicle information is determined to be abnormal according to the target vehicle information and the abnormality judgment rule information, obtaining target original data corresponding to the target vehicle information;

acquiring environment information in the automatic driving process of the vehicle corresponding to the acquisition time information of the target original data;

and if the environment information is determined to cause the abnormality of the target vehicle information, determining the environment information as the condition information of the target vehicle information, so that the first server side eliminates the target vehicle information with the condition information and then performs performance analysis.

13. The method of claim 12, wherein the step of determining the position of the probe is performed,

the environmental information includes weather information and road condition information during automatic driving of the vehicle.

14. A method for obtaining vehicle performance information, comprising:

the first client provides a first operation option for submitting the relevant information of the target analysis object and a second operation option for submitting the information of the target time period;

acquiring the related information of the target analysis object through the first operation option, acquiring the information of the target time period through the second operation option, and submitting the information to a first service end so that the first service end can determine the target analysis object according to the acquired information and extract target vehicle information in the target time period under the type of the vehicle information corresponding to the target analysis object from a vehicle information base; and obtaining a performance analysis result of the target analysis object according to the target vehicle information and the abnormality judgment rule information, wherein the performance analysis result comprises performance change trend information of the target analysis object in the target time period.

15. A method of obtaining vehicle autopilot data, comprising:

The method comprises the steps that a second server side obtains relevant data for automatically controlling the vehicle in the running process of the vehicle and time information corresponding to the relevant data;

generating a vehicle information base, storing the related data and the time information into the vehicle information base, so that after a first service end determines a target analysis object to be analyzed, extracting target vehicle information in the target time period under the vehicle information type corresponding to the target analysis object from the vehicle information base, and obtaining a performance analysis result of the target analysis object according to the target vehicle information and the corresponding abnormality judgment rule information, wherein the performance analysis result comprises performance change trend information of the target analysis object in the target time period.

16. A method of obtaining vehicle autopilot data, comprising:

the method comprises the steps that a second client obtains relevant data for automatically controlling the vehicle in the running process of the vehicle and time information corresponding to the relevant data;

and sending the related data and the time information to a second server side so that the second server side generates a vehicle information base for storing the related data, and the first server side extracts the target vehicle information in the target time period under the vehicle information type corresponding to the target analysis object from the vehicle information base to perform performance analysis, wherein the performance analysis result comprises the performance change trend information of the target analysis object in the target time period.

17. A system for obtaining vehicle performance information, characterized in that,

the system comprises: a first client and a first server,

the first client is used for submitting the relevant information of the target analysis object and the target time period information to the first server;

the first service end is used for determining the target analysis object according to the information submitted by the first client end, and extracting target vehicle information in the target time period under the vehicle information type corresponding to the target analysis object from a vehicle information base; and obtaining a performance analysis result of the target analysis object according to the target vehicle information and the abnormality judgment rule information, wherein the performance analysis result comprises performance change trend information of the target analysis object in the target time period.

18. An apparatus for obtaining vehicle performance information, applied to a first service end, comprising:

the information acquisition unit is used for acquiring a vehicle information base and vehicle information type and abnormality judgment rule information required by performance analysis of an analysis object related to a vehicle, wherein the vehicle information base stores related data acquired in the process of automatic driving control of the vehicle and time information corresponding to the related data;

A target vehicle information extraction unit configured to determine a target analysis object to be analyzed, extract target vehicle information under a vehicle information type corresponding to the target analysis object from the vehicle information base, and determine target time period information so as to extract target vehicle information under the vehicle information type corresponding to the target analysis object from the vehicle information base within the target time period;

and a performance analysis result obtaining unit configured to obtain a performance analysis result of the target analysis object according to the target vehicle information and the abnormality judgment rule information, where the performance analysis result includes performance change trend information of the target analysis object in the target time period.

19. An apparatus for obtaining vehicle performance information, for application to a first client, comprising:

a first operation option providing unit for providing a first operation option for submitting the target analysis object related information and a second operation option for submitting the target time period information;

the information submitting unit is used for obtaining the relevant information of the target analysis object through the first operation option, submitting the relevant information to the first service end after obtaining the information of the target time period through the second operation option, so that the first service end can determine the target analysis object according to the obtained information and extract target vehicle information in the target time period under the type of the vehicle information corresponding to the target analysis object from a vehicle information base; and obtaining a performance analysis result of the target analysis object according to the target vehicle information and the abnormality judgment rule information, wherein the performance analysis result comprises performance change trend information of the target analysis object in the target time period.

20. An apparatus for obtaining automatic driving data of a vehicle, applied to a second service end, comprising:

the data acquisition unit is used for acquiring related data for automatically controlling the vehicle in the running process of the vehicle and time information corresponding to the related data;

the data storage unit is used for generating a vehicle information base, storing the related data and the time information into the vehicle information base, so that after a first service end determines a target analysis object to be analyzed, extracting target vehicle information in the target time period under the type of vehicle information corresponding to the target analysis object from the vehicle information base, and obtaining a performance analysis result of the target analysis object according to the target vehicle information and the corresponding abnormality judgment rule information, wherein the performance analysis result comprises performance change trend information of the target analysis object in the target time period.

21. An apparatus for obtaining vehicle autopilot data, characterized by being applied to a second client, comprising:

And the data sending unit is used for sending the related data and the time information to a second server side so that the second server side generates a vehicle information base for storing the related data, and the first server side extracts the target vehicle information in the target time period under the vehicle information type corresponding to the target analysis object from the vehicle information base to perform performance analysis, wherein the performance analysis result comprises the performance change trend information of the target analysis object in the target time period.

22. An electronic device, comprising:

one or more processors; and

obtaining a vehicle information base and vehicle information type and abnormality judgment rule information required by performance analysis of an analysis object related to a vehicle, wherein the vehicle information base stores related data obtained in the process of automatic driving control of the vehicle and time information corresponding to the related data;

23. An electronic device, comprising:

one or more processors; and

providing a first operation option for submitting the relevant information of the target analysis object and a second operation option for submitting the information of the target time period;

24. An electronic device, comprising:

one or more processors; and

acquiring related data for automatically controlling the vehicle in the running process of the vehicle and time information corresponding to the related data;

25. An electronic device, comprising:

one or more processors; and