CN112559277A - Crash information processing method, system, vehicle-mounted device, server, electronic device and storage medium - Google Patents

Abstract

According to the processing method and system for the crash information, the vehicle-mounted equipment, the server, the electronic equipment and the storage medium, the directory file stored with the crash information is monitored through the vehicle-mounted equipment so as to determine whether the unmanned vehicle program crashes; when the unmanned vehicle program collapses, the vehicle-mounted equipment determines collapse occurrence time according to the collapse information, uploads log information and environment data in a preset time period before the collapse occurrence time to the server, the server reproduces a collapse scene of the unmanned vehicle program when the unmanned vehicle program collapses according to the environment data, and determines a collapse reason of the unmanned vehicle program in the collapse scene according to the log information and the collapse information, so that the obtaining efficiency of the collapse information and the analysis efficiency of the collapse reason are effectively improved.

Description

Crash information processing method, system, in-vehicle device, server, electronic device and storage medium

technical field

The present disclosure relates to multimedia technology, and in particular, to a method, system, vehicle-mounted device, server, electronic device and storage medium for processing crash information.

Background technique

With the development of intelligence, it can gradually enter people's lives with unmanned vehicles based on driverless technology.

The normal operation of the unmanned vehicle is inseparable from the operation program of the unmanned vehicle. In the prior art, when the unmanned vehicle program running by the unmanned vehicle is abnormal and in a state of collapse, the unmanned vehicle program automatically writes the crash information into the unmanned vehicle program. The core file of people and vehicles. Maintenance personnel can retrieve the crash information from the core file of the unmanned vehicle by querying, so as to determine the cause of the crash of the unmanned vehicle program.

However, the retrieval of the existing crash information is realized by the maintenance personnel manually entering the query command, and the process of such a viewing method is cumbersome, and the retrieval efficiency of the crash information is low, which also greatly affects the unmanned vehicle program. The analytical efficiency of anomaly analysis.

SUMMARY OF THE INVENTION

In view of the above technical problems, the present disclosure provides a method, system, vehicle-mounted device, server, electronic device and storage medium for processing crash information.

In a first aspect, the present disclosure provides a method for processing crash information, including:

Monitor the directory file storing crash information to determine whether the unmanned vehicle program crashes;

When the unmanned vehicle program crashes, determine the crash occurrence time according to the crash information;

Upload the log information and environmental data in the preset time period before the crash occurrence time to the server, so that the server can reproduce the crash scene of the unmanned vehicle program when the crash occurs according to the environmental data, and according to the log information and The crash information determines the cause of the crash of the unmanned vehicle program in this crash scenario.

In a second aspect, the present disclosure provides a method for processing crash information, including:

Receive crash information, log information and environmental data sent by the on-board device of the unmanned vehicle, wherein the crash information, log information and environmental data are sent by the on-board device when it is determined that the unmanned vehicle program crashes;

Reproduce the crash scene of the unmanned vehicle program when it crashes according to the environmental data;

The reason for the crash of the unmanned vehicle program in the crash scenario is determined according to the log information and the crash information.

In a third aspect, the present disclosure provides a vehicle-mounted device, comprising:

The monitoring unit is used to monitor the directory file with crash information to determine whether the unmanned vehicle program crashes;

a first processing unit, configured to determine the crash occurrence time according to the crash information when the unmanned vehicle program crashes; also configured to upload log information and environmental data in a preset time period before the crash occurrence time to the server, For the server to reproduce the crash scene of the unmanned vehicle program when the crash occurs according to the environmental data, and to determine the reason for the crash of the unmanned vehicle program in the crash scene according to the log information and the crash information.

In a fourth aspect, the present disclosure provides a server, including:

A receiving unit, configured to receive crash information, log information and environmental data sent by the vehicle-mounted device of the unmanned vehicle, wherein the crash information, log information and environment data are sent by the vehicle-mounted device when it is determined that the unmanned vehicle program crashes of;

The second processing unit is configured to reproduce the crash scenario of the unmanned vehicle program when the crash occurs according to the environmental data; and is further configured to determine the crash cause of the unmanned vehicle program in the crash scenario according to the log information and the crash information.

In a fifth aspect, the present disclosure provides a system for processing crash information, including: a server and a vehicle-mounted device;

Wherein, the in-vehicle device is arranged on the unmanned vehicle and carries an unmanned vehicle program therein, and the in-vehicle device is used to execute the aforementioned method for crash information;

The server communicates with the in-vehicle device through a network, and is used for executing the aforementioned method for crash information.

In a sixth aspect, the present disclosure provides an electronic device, comprising:

at least one processor; and

a memory communicatively coupled to the at least one processor; wherein,

The memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any of the above.

In a seventh aspect, the present disclosure provides a non-transitory computer-readable storage medium storing computer instructions, wherein the computer instructions are used to cause the computer to execute any of the methods described above.

The crash information processing method, system, in-vehicle device, server, electronic device and storage medium provided by the present disclosure monitor the directory file storing the crash information through the in-vehicle device to determine whether the unmanned vehicle program crashes; When the car program crashes, the in-vehicle device determines the crash occurrence time according to the crash information, and uploads the log information and environmental data in the preset time period before the crash occurrence time to the server, and the server reproduces the unmanned car program according to the environmental data. A crash scenario when a crash occurs, and the reason for the crash of the unmanned vehicle program in the crash scenario is determined according to the log information and the crash information. Compared with the prior art method of manually invoking crash information to determine the cause of the crash based on the crash information, the present disclosure monitors the crash state of the unmanned vehicle program in real time, and actively reports to the server when the unmanned vehicle program crashes. Corresponding crash information and other information are provided so that the server can quickly determine the crash cause of the unmanned vehicle program, thereby effectively improving the efficiency of obtaining crash information and analyzing the cause of the crash.

Other effects of the above-mentioned optional manners will be described below with reference to specific embodiments.

Description of drawings

The accompanying drawings are used for better understanding of the present solution, and do not constitute a limitation to the present disclosure. in:

1 is a schematic diagram of the hardware structure of a system for processing crash information provided by the present disclosure;

2 is a schematic flowchart of a method for processing crash information provided by the present disclosure;

3 is a schematic flowchart of another method for processing crash information provided by the present disclosure;

4 is a schematic diagram of a display interface in a method for processing crash information provided by the present disclosure;

5 is a schematic structural diagram of a vehicle-mounted device provided by the present disclosure;

6 is a schematic structural diagram of a server provided by the present disclosure;

FIG. 7 is a block diagram of an electronic device provided by the present disclosure for implementing the method for processing crash information according to an embodiment of the present disclosure.

Detailed ways

Exemplary embodiments of the present disclosure are described below with reference to the accompanying drawings, which include various details of the embodiments of the present disclosure to facilitate understanding and should be considered as exemplary only. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the present disclosure. Also, descriptions of well-known functions and constructions are omitted from the following description for clarity and conciseness.

With the development of intelligence, it can gradually enter people's lives with unmanned vehicles based on driverless technology.

The normal operation of the unmanned vehicle is inseparable from the operation program of the unmanned vehicle. In the prior art, when the unmanned vehicle program running by the unmanned vehicle is abnormal and in a state of collapse, the unmanned vehicle program automatically writes the crash information into the unmanned vehicle program. The core file of people and vehicles. Maintenance personnel can retrieve the crash information from the core file of the unmanned vehicle by querying, so as to determine the cause of the crash of the unmanned vehicle program.

However, the retrieval of the existing crash information is realized by the maintenance personnel manually entering the query command, and the process of such a viewing method is cumbersome, and the retrieval efficiency of the crash information is low, which also greatly affects the unmanned vehicle program. The analytical efficiency of anomaly analysis.

In view of the above problems, the present disclosure provides a method, system, vehicle-mounted device, server, electronic device and storage medium for processing crash information. Compared with the prior art method of manually invoking crash information to determine the cause of the crash based on the crash information, the present disclosure monitors the crash state of the unmanned vehicle program in real time, and actively reports to the server when the unmanned vehicle program crashes. Corresponding crash information and other information are provided so that the server can quickly determine the crash cause of the unmanned vehicle program, thereby effectively improving the efficiency of obtaining crash information and analyzing the cause of the crash.

FIG. 1 is a schematic diagram of the hardware structure of a crash information processing system provided by the present disclosure. As shown in FIG. 1 , the crash information processing system provided by the present disclosure may include a server 1 and an in-vehicle device 2; wherein, the in-vehicle device 2 is set On the unmanned vehicle, the vehicle-mounted device 2 carries the unmanned vehicle program. Specifically, the in-vehicle device 2 can be a physical device such as an in-vehicle computer of an unmanned vehicle, an in-vehicle mobile terminal, etc., which can specifically be used to load the driving task of the unmanned vehicle given by the server 1 or the driving task of the unmanned vehicle given by other terminals, and control the driving task of the unmanned vehicle. Unmanned vehicles perform unmanned vehicle driving tasks.

The server 1 is specifically a server group or server cluster set in the cloud, which can communicate with the vehicle-mounted device through a network, so as to realize data exchange and information exchange between the two. In addition, in order to facilitate the user to obtain information, the server 1 may further set a corresponding information output interface or information display interface for the user to obtain the information output or displayed by the server 1 .

It should be noted that the manner shown in FIG. 1 is only one of the structural architecture manners provided by the present disclosure, and the architecture thereof will have corresponding changes based on different device types and different environment layouts.

In a first aspect, the present disclosure provides a method for processing crash information. FIG. 2 is a schematic flowchart of a method for processing crash information provided by the present disclosure.

As shown in Figure 2, the processing method includes:

Step 101: Monitor the directory file storing the crash information to determine whether the unmanned vehicle program crashes.

The execution subject of the crash information processing method provided by the example of the present disclosure is an in-vehicle device, wherein the in-vehicle device may be composed of various types of hardware devices, such as processors, communicators, information collectors, sensors, and so on. Different hardware devices play their respective functions in the implementation process of the processing method, so as to realize the processing method provided by the present disclosure.

Specifically, firstly, an unmanned vehicle program can be run in the vehicle-mounted device. The unmanned vehicle program has been preset in the vehicle-mounted equipment of the unmanned vehicle. its installation and execution. Generally speaking, when the running unmanned vehicle program runs abnormally, the program will crash, and when it crashes, the generated crash information will be stored in the directory file in the in-vehicle device. Among them, the crash information will record the crash time of the unmanned car program, the program process information at the time of the crash, and the crash result.

A directory file will be provided in the vehicle-mounted device provided by the present disclosure, and the directory file may be used to store crash information generated when the unmanned vehicle program crashes. The in-vehicle device can effectively monitor whether the unmanned vehicle program crashes by monitoring the directory file.

Step 102: When the unmanned vehicle program crashes, determine the crash occurrence time according to the crash information.

Specifically, when the in-vehicle device finds that the crash information is added to the directory file, it means that the unmanned car program has crashed. The time at which the crash occurred.

Step 103: Upload the log information and environmental data in the preset time period before the crash occurrence time to the server, so that the server can reproduce the crash scene of the unmanned vehicle program when the crash occurs according to the environmental data, and according to the The log information and crash information determine the cause of the crash of the unmanned vehicle program in this crash scenario.

Specifically, since only the relevant information of the unmanned vehicle program is stored in the crash information, when the server determines the cause of the crash of the unmanned vehicle program, the running state of the unmanned vehicle program and the running state of the unmanned vehicle also need to be considered.

Therefore, in the present disclosure, the in-vehicle device not only needs to upload the crash information to the server, but also needs to upload the log information and the environment data in the preset time period before the crash occurrence time to the server together. The log information and environmental data are also information stored in the in-vehicle device.

Among them, the log information is used to indicate the running state of the unmanned vehicle program in the preset time period before the crash occurrence time, that is, the running state of the program;

The environmental data is used to represent the driving state of the unmanned vehicle within a preset time period before the time when the crash occurs, for example, playback packets, voice information, image information, vehicle behavior, sensor parameters, and the like.

Optionally, in the present disclosure, different data transmission modes may be adopted for crash information, log information and environment data. Specifically, for the crash information, due to its strong timeliness, it can be sent to the server by means of real-time transmission or real-time synchronization, so that the server can quickly learn of the event that the unmanned vehicle program crashes. As for log information and environmental data, due to the information transmitted within a period of time in the present disclosure, the data volume of log information and environmental data is relatively large, and the two can be transmitted to the server in an asynchronous transmission manner.

Further, since different transmission methods are used for crash information, log information and environmental data, in order to facilitate the server to correspond each information to analyze the cause of the crash of a certain unmanned vehicle program, the in-vehicle terminal sends the information to the server. The crash information, log information and environmental data all include the identification of the unmanned vehicle. By using the identifier of the unmanned vehicle, the server can associate the crash information, log information and environmental data received at different times for storage, which is convenient for subsequent determination of the cause of the crash.

In the method for processing crash information provided by the present disclosure, the in-vehicle device monitors the directory file storing the crash information to determine whether the unmanned car program crashes; when the unmanned car program crashes, the in-vehicle device determines the crash according to the crash information The occurrence time, and upload the log information and environmental data in the preset time period before the crash occurrence time to the server, and the server reproduces the crash scene of the unmanned vehicle program when the crash occurs according to the environmental data, and according to the log The information and crash information determine the cause of the crash of the unmanned vehicle program in this crash scenario. Compared with the prior art method of manually invoking crash information to determine the cause of the crash based on the crash information, the present disclosure monitors the crash state of the unmanned vehicle program in real time, and actively reports to the server when the unmanned vehicle program crashes. Corresponding crash information and other information are provided so that the server can quickly determine the crash cause of the unmanned vehicle program, thereby effectively improving the efficiency of obtaining crash information and analyzing the cause of the crash.

Based on the foregoing examples, FIG. 3 is a schematic flowchart of another method for processing crash information provided by the present disclosure. As shown in Figure 3, the processing method of the crash information includes:

Step 201: Receive crash information, log information and environmental data sent by the on-board device of the unmanned vehicle, wherein the crash information, log information and environmental data are sent by the on-board device when it is determined that the unmanned vehicle program crashes.

The execution subject of the crash information processing method provided by the example of the present disclosure is a server, wherein the server is specifically a server group or server cluster set in the cloud, which can communicate with the vehicle-mounted device through the network to realize the communication between the two. Data exchange and information exchange. In addition, in order to facilitate the user to obtain information, the server may also set a corresponding information output interface or information display interface for the user to obtain the information output or displayed by the server.

Similar to the previous example, firstly, an unmanned vehicle program can be run in the vehicle-mounted device, and the unmanned vehicle program has been preset in the vehicle-mounted equipment of the unmanned vehicle, which can be sent to the vehicle-mounted equipment of the unmanned vehicle by other terminals or servers. , for its installation and execution. When the in-vehicle device finds that the unmanned vehicle program crashes, it can upload the crash information, log information and environmental data to the server.

Optionally, the server not only receives the crash information uploaded by the in-vehicle device, but also receives log information and environmental data within a preset time period before the crash occurs. The log information and environmental data are also information stored in the in-vehicle device. Among them, the crash information will record the crash time of the unmanned vehicle program, the program process information at the time of the crash, and the crash result, etc.; the log information is used to indicate the running state of the unmanned vehicle program in the preset time period before the crash occurrence time. That is, the program running state; while the environmental data is used to represent the driving state of the unmanned vehicle within a preset time period before the crash occurs, for example, playback packets, voice information, image information, vehicle behavior, sensor parameters, etc.

Optionally, in the present disclosure, different data transmission modes may be adopted for crash information, log information and environment data. Specifically, for the crash information, due to its strong timeliness, the server obtains it by receiving it in real time. As for log information and environmental data, due to the information transmitted within a period of time in the present disclosure, the data volume of log information and environmental data is relatively large, and the server obtains them through asynchronous reception.

Further, since different transmission methods are used for crash information, log information and environmental data, in order to facilitate the server to correspond each information to analyze the cause of the crash of a certain unmanned vehicle program, the in-vehicle terminal sends the information to the server. The crash information, log information and environmental data all include the identification of the unmanned vehicle. By using the identifier of the unmanned vehicle, the server can associate the crash information, log information and environmental data received at different times for storage, which is convenient for subsequent determination of the cause of the crash. That is, according to the received crash information, the log information and the identifier carried in the environment data, the server associates and stores the crash information, log information and environment data with consistent identifiers

Step 202, reproducing the crash scene of the unmanned vehicle program when the crash occurs according to the environmental data;

Step 203: Determine the reason for the crash of the unmanned vehicle program in the crash scenario according to the log information and the crash information.

In the processing method provided by the present disclosure, when the server determines the cause of the crash of the unmanned vehicle program, the running state of the unmanned vehicle program and the running state of the unmanned vehicle also need to be considered.

Specifically, the environmental data includes playback packets of unmanned vehicles during driving, voice information, image information, vehicle behavior, sensor parameters, and so on. The server may call the simulation platform, so that the simulation platform simulates the formal state of the unmanned vehicle within a preset time period before the crash occurrence time based on the environmental data. That is to say, the server calls the simulation platform to restore the speed of the unmanned vehicle, the road conditions of the driving road, the driving track and other driving states according to the environmental data, so as to facilitate the determination of the abnormal crash of the unmanned vehicle program in this driving state. cause of the crash.

In addition, in order to facilitate the user to view the cause of the crash and various information related to the crash, the server will also call the display platform to display the crash information and log information on the display platform.

FIG. 4 is a schematic diagram of a display interface in a method for processing crash information provided by the present disclosure. As shown in FIG. 4 , the display platform can display the received crash information, including the part with program errors, that is, the program execution At which step an exception occurs; the display platform can also display log information. By using the display platform, various information related to the crash of the unmanned vehicle program can be quickly obtained, so as to determine the cause of the crash according to the displayed crash information and log information.

In the method for processing crash information provided by the present disclosure, the in-vehicle device monitors the directory file storing the crash information to determine whether the unmanned car program crashes; when the unmanned car program crashes, the in-vehicle device determines the crash according to the crash information The occurrence time, and upload the log information and environmental data in the preset time period before the crash occurrence time to the server, and the server reproduces the crash scene of the unmanned vehicle program when the crash occurs according to the environmental data, and according to the log The information and crash information determine the cause of the crash of the unmanned vehicle program in this crash scenario. Compared with the prior art method of manually invoking crash information to determine the cause of the crash based on the crash information, the present disclosure monitors the crash state of the unmanned vehicle program in real time, and actively reports to the server when the unmanned vehicle program crashes. Corresponding crash information and other information are provided so that the server can quickly determine the crash cause of the unmanned vehicle program, thereby effectively improving the efficiency of obtaining crash information and analyzing the cause of the crash.

In a second aspect, the present disclosure provides a vehicle-mounted device, and FIG. 5 is a schematic structural diagram of the vehicle-mounted device provided by the present disclosure.

As shown in Figure 5, the in-vehicle equipment includes:

The monitoring unit 10 is used for monitoring the directory file storing the crash information to determine whether the unmanned vehicle program crashes;

The first processing unit 20 is configured to determine the crash occurrence time according to the crash information when the unmanned vehicle program crashes; and is also configured to upload log information and environmental data within a preset time period before the crash occurrence time to the server , so that the server can reproduce the crash scene of the unmanned vehicle program when the crash occurs according to the environmental data, and determine the reason for the crash of the unmanned vehicle program in the crash scene according to the log information and the crash information.

In an optional example, the first processing unit 20 is specifically configured to synchronously transmit the crash information to the server in real time, and is further configured to asynchronously transmit the log information and the environment data to the server.

Optionally, the log information is used to represent the running state of the unmanned vehicle program in a preset time period before the crash occurrence time; the environment data is used to represent the unmanned vehicle preset before the crash occurrence time. The driving status during the time period.

Optionally, the crash information, the log information and the environment data respectively include the identifier of the unmanned vehicle;

The identifier of the unmanned vehicle is used to upload the crash information, log information and environment data to the server respectively, so that the server can associate and store the crash information, log information and environment data with consistent identifiers.

The in-vehicle device provided by the present disclosure monitors the directory file storing the crash information through the in-vehicle device to determine whether the unmanned vehicle program crashes; and upload the log information and environmental data in the preset time period before the crash occurrence time to the server, and the server reproduces the crash scene of the unmanned vehicle program when the crash occurs according to the environmental data, and according to the log information and the crash The information determines the reason for the crash of the unmanned vehicle program in this crash scenario. Compared with the prior art method of manually invoking crash information to determine the cause of the crash based on the crash information, the present disclosure monitors the crash state of the unmanned vehicle program in real time, and actively reports to the server when the unmanned vehicle program crashes. Corresponding crash information and other information are provided so that the server can quickly determine the crash cause of the unmanned vehicle program, thereby effectively improving the efficiency of obtaining crash information and analyzing the cause of the crash.

In a third aspect, the present disclosure provides a server, and FIG. 6 is a schematic structural diagram of the server provided by the present disclosure.

As shown in Figure 6, the server includes:

The receiving unit 30 is configured to receive crash information, log information and environmental data sent by the in-vehicle device of the unmanned vehicle, wherein the crash information, log information and environmental data are when the in-vehicle device determines that the unmanned vehicle program crashes sent;

The second processing unit 40 is configured to reproduce the crash scenario of the unmanned vehicle program when the crash occurs according to the environmental data; and is further configured to determine the crash cause of the unmanned vehicle program in the crash scenario according to the log information and the crash information.

In an optional example, the log information is used to represent the running state of the unmanned vehicle program within a preset time period before the crash occurs; the environment data is used to represent the unmanned vehicle before the crash occurs. Set the driving status within the time period;

The second processing unit 40 is specifically configured to call the simulation platform to simulate the driving state of the unmanned vehicle within the preset time period before the crash occurrence time according to the environmental data; and is also used to call the display platform to display The crash information and the log information are used to determine the crash cause according to the displayed crash information and the log information.

In an optional example, the crash information, the log information, and the environment data respectively include the identifier of the unmanned vehicle;

The receiving unit 30 is specifically configured to associate and store crash information, log information and environment data with consistent identifiers according to the received crash information, the log information and the identifier carried in the environment data.

The server provided by the present disclosure monitors the directory file that stores the crash information through the vehicle-mounted device to determine whether the unmanned vehicle program crashes; when the unmanned vehicle program crashes, the vehicle-mounted device determines the crash occurrence time according to the crash information, and Upload the log information and environmental data in the preset time period before the crash occurrence time to the server, and the server reproduces the crash scene of the unmanned vehicle program when the crash occurs according to the environmental data, and according to the log information and crash information Determine the reason for the crash of the unmanned vehicle program in this crash scenario. Compared with the prior art method of manually invoking crash information to determine the cause of the crash based on the crash information, the present disclosure monitors the crash state of the unmanned vehicle program in real time, and actively reports to the server when the unmanned vehicle program crashes. Corresponding crash information and other information are provided so that the server can quickly determine the crash cause of the unmanned vehicle program, thereby effectively improving the efficiency of obtaining crash information and analyzing the cause of the crash.

In a fourth aspect, the present disclosure provides a system for processing crash information. FIG. 1 is a schematic diagram of the hardware structure of the system for processing crash information provided by the present disclosure. As shown in Figure 1, the processing system includes: a server 1 and a vehicle-mounted device 2;

Wherein, the in-vehicle device 2 is arranged on the unmanned vehicle, and carries an unmanned vehicle program therein, and the in-vehicle device is used to execute the method for crash information shown in FIG. 2 ;

The server 1 communicates with the in-vehicle device 2 through the network, and is used for the crash information method shown in FIG. 4 .

According to an embodiment of the present disclosure, the present disclosure also provides an electronic device and a readable storage medium.

As shown in FIG. 7 , it is a block diagram of an electronic device of a method for processing crash information according to an embodiment of the present disclosure. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. Electronic devices may also represent various forms of mobile devices, such as personal digital processors, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are by way of example only, and are not intended to limit implementations of the disclosure described and/or claimed herein.

As shown in FIG. 7 , the electronic device includes: one or more processors 701 , a memory 702 , and interfaces for connecting various components, including a high-speed interface and a low-speed interface. The various components are interconnected using different buses and may be mounted on a common motherboard or otherwise as desired. The processor may process instructions executed within the electronic device, including instructions stored in or on memory to display graphical information of the GUI on an external input/output device, such as a display device coupled to the interface. In other embodiments, multiple processors and/or multiple buses may be used with multiple memories and multiple memories, if desired. Likewise, multiple electronic devices may be connected, each providing some of the necessary operations (eg, as a server array, a group of blade servers, or a multiprocessor system). A processor 701 is taken as an example in FIG. 7 .

The memory 702 is the non-transitory computer-readable storage medium provided by the present disclosure. Wherein, the memory stores instructions executable by at least one processor, so that the at least one processor executes the method for processing crash information provided by the present disclosure. The non-transitory computer-readable storage medium of the present disclosure stores computer instructions for causing the computer to execute the crash information processing method provided by the present disclosure.

As a non-transitory computer-readable storage medium, the memory 702 can be used to store non-transitory software programs, non-transitory computer-executable programs, and modules, such as program instructions/modules (for example, program instructions/modules corresponding to the method for processing crash information in the embodiments of the present disclosure). , the acquisition module 10, the processing module 20 and the control module 30 shown in FIG. 7). The processor 701 executes various functional applications and data processing of the server by running the non-transitory software programs, instructions and modules stored in the memory 702, that is, a method for implementing the method for processing crash information in the above method embodiments.

The memory 702 may include a storage program area and a storage data area, wherein the storage program area may store an operating system and an application program required for at least one function; data etc. Additionally, memory 702 may include high-speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid state storage device. In some embodiments, memory 702 may optionally include memory located remotely from processor 701, which may be connected to the electronic device via a network. Examples of the above network include but are not limited to the Internet, intranet, local area network, mobile 702, input device 703 and output device 704 can be connected through a bus or other means, and FIG. 7 takes the connection through a bus as an example.

The input device 703 can receive input numerical or character information, and generate key signal input related to user settings and function control of the electronic device for the processing method of crash information, such as touch screen, keypad, mouse, trackpad, touchpad , pointing stick, one or more mouse buttons, trackball, joystick and other input devices. Output devices 704 may include display devices, auxiliary lighting devices (eg, LEDs), haptic feedback devices (eg, vibration motors), and the like. The display device may include, but is not limited to, a liquid crystal display (LCD), a light emitting diode (LED) display, and a plasma display. In some implementations, the display device may be a touch screen.

Various implementations of the systems and techniques described herein can be implemented in digital electronic circuitry, integrated circuit systems, application specific ASICs (application specific integrated circuits), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include being implemented in one or more computer programs executable and/or interpretable on a programmable system including at least one programmable processor that The processor, which may be a special purpose or general-purpose programmable processor, may receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device an output device.

These computational programs (also referred to as programs, software, software applications, or codes) include machine instructions for programmable processors, and may be implemented using high-level procedural and/or object-oriented programming languages, and/or assembly/machine languages calculation program. As used herein, the terms "machine-readable medium" and "computer-readable medium" refer to any computer program product, apparatus, and/or apparatus for providing machine instructions and/or data to a programmable processor ( For example, magnetic disks, optical disks, memories, programmable logic devices (PLDs), including machine-readable media that receive machine instructions as machine-readable signals. The term "machine-readable signal" refers to any signal used to provide machine instructions and/or data to a programmable processor.

To provide interaction with a user, the systems and techniques described herein may be implemented on a computer having a display device (eg, a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user ); and a keyboard and pointing device (eg, a mouse or trackball) through which a user can provide input to the computer. Other kinds of devices can also be used to provide interaction with the user; for example, the feedback provided to the user can be any form of sensory feedback (eg, visual feedback, auditory feedback, or tactile feedback); and can be in any form (including acoustic input, voice input, or tactile input) to receive input from the user.

The systems and techniques described herein may be implemented on a computing system that includes back-end components (eg, as a data server), or a computing system that includes middleware components (eg, an application server), or a computing system that includes front-end components (eg, a user computer having a graphical user interface or web browser through which a user may interact with implementations of the systems and techniques described herein), or including such backend components, middleware components, Or any combination of front-end components in a computing system. The components of the system may be interconnected by any form or medium of digital data communication (eg, a communication network). Examples of communication networks include: Local Area Networks (LANs), Wide Area Networks (WANs), and the Internet.

A computer system can include clients and servers. Clients and servers are generally remote from each other and usually interact through a communication network. The relationship of client and server arises by computer programs running on the respective computers and having a client-server relationship to each other.

It should be understood that steps may be reordered, added or deleted using the various forms of flow shown above. For example, the steps described in the present application may be performed in parallel, sequentially or in different orders, and are not limited herein as long as the desired results of the technical solutions disclosed in the present disclosure can be achieved.

The above-mentioned specific embodiments do not constitute a limitation on the protection scope of the present disclosure. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions may occur depending on design requirements and other factors. Any modifications, equivalent replacements, and improvements made within the spirit and principles of the present disclosure should be included within the protection scope of the present disclosure.

Claims (12)

1. a processing method of crash information, is characterized in that, comprises: Monitor the directory file storing crash information to determine whether the unmanned vehicle program crashes; When the unmanned vehicle program crashes, determine the crash occurrence time according to the crash information; Upload the log information and environmental data in the preset time period before the crash occurrence time to the server, so that the server can reproduce the crash scene of the unmanned vehicle program when the crash occurs according to the environmental data, and according to the log information and The crash information determines the cause of the crash of the unmanned vehicle program in this crash scenario. 2. The processing method according to claim 1, wherein the uploading of log information and environmental data in a preset time period before the crash occurrence time to the server comprises: Synchronously transmit the crash information to the server in real time; The log information and the environment data are asynchronously transmitted to the server. 3 . The processing method according to claim 1 , wherein the log information is used to represent the running state of the unmanned vehicle program within a preset time period before the crash occurrence time; the environmental data is used to represent all The driving state of the unmanned vehicle in the preset time period before the time of the crash occurs. 4. The processing method according to any one of claims 1-3, wherein the crash information, the log information, and the environment data respectively comprise an identifier of an unmanned vehicle; The identifier of the unmanned vehicle is used to upload the crash information, log information and environment data to the server respectively, so that the server can associate and store the crash information, log information and environment data with consistent identifiers. 5. a processing method of crash information, is characterized in that, comprises: Receive crash information, log information and environmental data sent by the on-board device of the unmanned vehicle, wherein the crash information, log information and environmental data are sent by the on-board device when it is determined that the unmanned vehicle program crashes; Reproduce the crash scene of the unmanned vehicle program when it crashes according to the environmental data; The reason for the crash of the unmanned vehicle program in the crash scenario is determined according to the log information and the crash information. 6 . The processing method according to claim 5 , wherein the log is used to represent the running state of the unmanned vehicle program in a preset time period before a crash occurs; the environment data is used to represent the The driving state of the unmanned vehicle during the preset time period before the time of the crash; The reproducing the crash scene of the unmanned vehicle program when the crash occurs according to the environmental data includes: calling the simulation platform to simulate the driving state of the unmanned vehicle within the preset time period before the crash occurrence time according to the environmental data; Determining the crash cause of the unmanned vehicle program in the crash scenario according to the log information and crash information includes: The display platform is called to display the crash information and the log information, so as to determine the crash cause according to the displayed crash information and the log information. 7. The processing method according to claim 5 or 6, wherein the crash information, the log information and the environment data respectively comprise an identifier of an unmanned vehicle; The crash information, log information and environmental data sent by the vehicle-mounted device of the unmanned vehicle, including: According to the received crash information, the log information and the identifier carried in the environment data, the crash information, the log information and the environment data with consistent identifiers are associated and stored. 8. A vehicle-mounted device, comprising: The monitoring unit is used to monitor the directory file with crash information to determine whether the unmanned vehicle program crashes; a first processing unit, configured to determine the crash occurrence time according to the crash information when the unmanned vehicle program crashes; also configured to upload log information and environmental data in a preset time period before the crash occurrence time to the server, For the server to reproduce the crash scene of the unmanned vehicle program when the crash occurs according to the environmental data, and to determine the reason for the crash of the unmanned vehicle program in the crash scene according to the log information and the crash information. 9. A server, characterized in that, comprising: A receiving unit, configured to receive crash information, log information and environmental data sent by the vehicle-mounted device of the unmanned vehicle, wherein the crash information, log information and environment data are sent by the vehicle-mounted device when it is determined that the unmanned vehicle program crashes of; The second processing unit is configured to reproduce the crash scenario of the unmanned vehicle program when the crash occurs according to the environmental data; and is further configured to determine the crash cause of the unmanned vehicle program in the crash scenario according to the log information and the crash information. 10. A system for processing crash information, comprising: a server and a vehicle-mounted device; Wherein, the in-vehicle device is arranged on the unmanned vehicle, and an unmanned vehicle program is carried therein, and the in-vehicle device is used to execute the method for crash information according to any one of claims 1-4; The server communicates with the in-vehicle device through a network, and is used to execute the method for crash information according to any one of claims 5-7. 11. An electronic device, characterized in that, comprising: at least one processor; and a memory communicatively coupled to the at least one processor; wherein, The memory stores instructions executable by the at least one processor, the instructions being executed by the at least one processor to enable the at least one processor to perform the execution of any of claims 1-7 Methods. 12. A non-transitory computer-readable storage medium storing computer instructions, wherein the computer instructions are used to cause the computer to perform the method of any one of claims 1-7.

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