CN111563979A

CN111563979A - Storage method, device, terminal and storage medium of automatic driving data

Info

Publication number: CN111563979A
Application number: CN202010380756.9A
Authority: CN
Inventors: 周倪青; 徐达学; 王萍; 陈海鸥; 董金龙
Original assignee: Chery Automobile Co Ltd
Current assignee: Chery Automobile Co Ltd
Priority date: 2020-05-08
Filing date: 2020-05-08
Publication date: 2020-08-21

Abstract

The application discloses a storage method, a storage device and a storage medium of automatic driving data, and belongs to the technical field of computers. The method comprises the following steps: in the automatic driving process, automatic driving data of the automobile are obtained, and the active driving data at least comprise driving data of the automobile, environment visual data of the current environment and traffic data; storing the automatic driving data through a recording terminal installed on the automobile; when the storage period is detected to be reached, the automatic driving data stored in the storage period are transferred to the enterprise data recording platform, and the enterprise data recording platform is used for storing the automatic driving data of the automobile and sending the data meeting the uploading requirement in the automatic driving data to the supervision data platform. The application can store the automatic driving data in the automobile, and can also transfer the automatic driving data to an enterprise data recording platform and a supervision data platform, so that the comprehensiveness of automatic driving data storage and the utilization rate of the automatic driving data are improved.

Description

Storage method, device, terminal and storage medium of automatic driving data

Technical Field

The present disclosure relates to the field of computer technologies, and in particular, to a method, an apparatus, and a storage medium for storing automatic driving data.

Background

With the development of automobile technology, automobiles become more intelligent, for example, automobiles can be automatically driven. When an accident occurs in an automobile during automatic driving, in order to have a basis in accident handling analysis, it is generally necessary to store video data such as before and after the accident of the automobile, automobile driving state, automobile dynamics data, and data of each module in the automobile.

At present, the automatic driving Data of the automobile in three stages of before-collision, at-collision and after-collision can be recorded by an EDR (Event Data Recorder).

However, since the EDR cannot store the picture data and the video data, and the locked storage area cannot be recycled, the storage of the automatic driving data is incomplete, and the utilization rate of the automatic driving data is low.

Disclosure of Invention

The application provides a storage method, a storage device and a storage medium of automatic driving data, which can solve the problems of incomplete automatic driving data storage and low automatic driving data utilization rate in the related technology. The technical scheme is as follows:

in one aspect, a method of storing autonomous driving data is provided, the method including:

in the automatic driving process, obtaining automatic driving data of an automobile, wherein the automatic driving data at least comprises driving data of the automobile, environment visual data of the current environment and traffic data;

storing the automatic driving data through a recording terminal installed on the automobile;

when the fact that the storage period is reached is detected, the automatic driving data stored in the storage period are transferred to an enterprise data recording platform, the enterprise data recording platform is used for storing the automatic driving data of the automobile and sending the data meeting the uploading requirement in the automatic driving data to a supervision data platform.

In some embodiments, the obtaining the autopilot data of the vehicle includes:

acquiring state data and dynamic data of the automobile in the driving process through an automobile body sensor installed on the automobile; and/or the presence of a gas in the gas,

acquiring environment visual data of the current environment of the automobile through a camera, a radar sensor and a positioning device; and/or the presence of a gas in the gas,

the traffic data sent by the road basic equipment is received through the vehicle-to-outside information exchange V2X technology.

In some embodiments, the storing the autonomous driving data comprises:

and storing the automatic driving data according to configuration parameters sent by the enterprise data recording platform, wherein the configuration parameters comprise data storage formats.

In some embodiments, the unloading the stored autopilot data from the enterprise data recording platform upon detecting that the storage period has been reached includes:

determining a data grade of each type of data in a plurality of types of data included in the automatic driving data;

and sending the multi-class data to edge storage equipment according to corresponding data grades so that the edge storage equipment stores the automatic driving data sent by the automobile and stores the automatic driving data to the enterprise data recording platform.

In some embodiments, the sending the autopilot data within the storage period to a marginal storage device comprises:

sorting the multi-class data from high to low according to the data grade;

and sending the automatic driving data to the edge storage equipment according to the sorting sequence of the multi-class data.

In some embodiments, the sending the multiple types of data to the edge storage device according to the corresponding data grades includes:

determining a network transmission mode corresponding to target data according to the data grade of the target data, wherein the target data is any one of the multiple types of data;

and sending the target data to the edge storage equipment according to the network transmission mode of the target data.

In another aspect, there is provided a storage device of automatic driving data, the device including:

the system comprises an acquisition module, a display module and a display module, wherein the acquisition module is used for acquiring automatic driving data of an automobile in the automatic driving process, and the automatic driving data at least comprises driving data of the automobile, environmental visual data of the current environment and traffic data;

the storage module is used for storing the automatic driving data through a recording terminal installed on the automobile;

and the dump module is used for dumping the automatic driving data stored in the storage period to an enterprise data recording platform when the storage period is detected to be reached, wherein the enterprise data recording platform is used for storing the automatic driving data of the automobile and sending the data meeting the uploading requirement in the automatic driving data to a supervision data platform.

In some embodiments, the obtaining module is to:

the traffic data sent by the road infrastructure equipment is received through the V2X technology.

In some embodiments, the storage module is to:

In some embodiments, the unloading module comprises:

a determination submodule configured to determine a data rank of each of a plurality of types of data included in the automatic driving data;

and the sending submodule is used for sending the multi-class data to edge storage equipment according to corresponding data grades so that the edge storage equipment stores the automatic driving data sent by the automobile and forwards the automatic driving data to the enterprise data recording platform.

In some embodiments, the sending submodule is to:

sorting the multi-class data from high to low according to the data grade;

In some embodiments, the sending submodule is to:

In another aspect, an automobile is provided, which includes a memory for storing a computer program and a processor for executing the computer program stored in the memory to implement the steps of the method for storing the automatic driving data.

In another aspect, a computer-readable storage medium is provided, in which a computer program is stored, which, when being executed by a processor, carries out the steps of the above-mentioned storing method of the automatic driving data.

In another aspect, a computer program product comprising instructions is provided, which when run on a computer, causes the computer to perform the steps of the method for storing autopilot data as described above.

The technical scheme provided by the application can at least bring the following beneficial effects:

in the application, the automatic driving data including the driving data of the automobile, the environment visual data of the current environment and the traffic data can be stored in the automobile, and the vision data can be stored as well as the digital data and the character data, so that the comprehensiveness of automatic driving data storage is improved. In addition, because the automatic driving data can be transferred to the enterprise data recording platform, and the enterprise data recording platform can send the automatic driving data which more meets the uploading requirement to the supervision data platform, the automatic driving data can be utilized by each platform, and the utilization rate of the automatic driving data is improved.

Drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.

FIG. 1 is a schematic diagram of an architecture of a storage system for autopilot data according to an embodiment of the present application;

FIG. 2 is a flow chart of a method for storing autopilot data according to an exemplary embodiment of the present disclosure;

FIG. 3 is a flow chart of a method for storing autopilot data according to an exemplary embodiment of the present disclosure;

FIG. 4 is a schematic structural diagram of an automatic driving data storage device according to an embodiment of the present disclosure;

fig. 5 is a schematic structural diagram of a dump module according to an embodiment of the present disclosure;

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

Detailed Description

To make the objects, technical solutions and advantages of the present application more clear, embodiments of the present application will be described in further detail below with reference to the accompanying drawings.

Before explaining the storage method of the automatic driving data provided by the embodiment of the present application in detail, an application scenario and a system architecture provided by the embodiment of the present application are introduced.

First, an application scenario related to the embodiment of the present application is described.

At present, the automatic driving of automobiles has gradually become a mainstream trend, in the automatic driving of automobiles, responsibility subjects have gradually transited from people to machines, and when an accident occurs in the automatic driving of automobiles, in order to have a basis in accident handling analysis, it is generally required to store video data before and after the accident occurs, automobile driving states, automobile dynamics data and data of each module in the automobiles. However, at present, the automatic driving data of the automobile in three stages of before, during and after the automobile collision are recorded through the EDR, and the EDR cannot store picture data and video data, and a locked storage area cannot be recycled, so that the automatic driving data is not comprehensively stored, and the utilization rate of the automatic driving data is low.

Based on the application scene, the embodiment of the application provides the automatic driving data storage method which can improve comprehensiveness and accuracy of automatic driving data storage.

Finally, a system architecture related to the embodiments of the present application is introduced.

Fig. 1 is a schematic diagram of a storage system architecture of automatic driving data provided in an embodiment of the present application, and referring to fig. 1, the system architecture includes an automobile 1, an edge storage device 2, an enterprise data recording platform 3, and a supervision data platform 4, the automobile 1 may be respectively in communication connection with the edge storage device 2 and the enterprise data recording platform 3, and the enterprise data recording platform 3 may be respectively in communication connection with the edge storage device 2 and the supervision data platform 4.

As an example, the automobile 1 may be configured to obtain and store automatic driving data of the automobile during an automatic driving process, and when it is detected that a storage period is reached, send the automatic driving data stored in the storage period to the edge storage device 2 and/or the enterprise data recording platform 3; the edge storage device 2 can store the automatic driving data sent by the automobile and send the automatic driving data to the enterprise data recording platform 3; the enterprise data recording platform 3 can receive and store the automatic driving data sent by the automobile 1 or the edge storage device 2, and send the data meeting the uploading requirement in the automatic driving data to the supervision data platform 4.

It should be noted that the automatic driving data stored in the enterprise data recording platform 3 and the supervision data platform 4 can be viewed by users with different authorities.

It will be appreciated by those skilled in the art that the foregoing system architectures are merely exemplary, and that other existing or future devices, which may be suitable for use in the present application, are also encompassed within the scope of the present application and are hereby incorporated by reference.

Next, a detailed explanation will be given of a storage method of the automatic driving data provided in the embodiment of the present application with reference to the drawings.

Fig. 2 is a flowchart of a method for storing automatic driving data according to an embodiment of the present disclosure, where the method is applied to an automobile. Referring to fig. 2, the method includes the following steps.

Step 201: in the automatic driving process, automatic driving data of the automobile are obtained, and the automatic driving data at least comprise driving data of the automobile, environment visual data of the current environment and traffic data.

Step 202: the automatic driving data is stored through the car-mounted recording terminal.

Step 203: and when the storage period is detected to be reached, the automatic driving data stored in the storage period is transferred to an enterprise data recording platform, and the enterprise data recording platform is used for storing the automatic driving data of the automobile and sending the data meeting the uploading requirement in the automatic driving data to a supervision data platform.

In some embodiments, obtaining autopilot data for an automobile comprises:

acquiring environmental visual data of the current environment of the automobile through a camera, a radar sensor and a positioning device; and/or the presence of a gas in the gas,

In some embodiments, storing the autonomous driving data comprises:

In some embodiments, when it is detected that a storage period is reached, offloading stored autopilot data within the storage period to an enterprise data logging platform, comprising:

and sending the multi-class data to the edge storage device according to the corresponding data grade so that the edge storage device stores the automatic driving data sent by the automobile and transfers the automatic driving data to the enterprise data recording platform.

In some embodiments, sending the autopilot data within the storage period to a marginal storage device includes:

sorting the multi-class data from high to low according to the data grade;

and sending the automatic driving data to the edge storage equipment according to the sorting order of the various types of data.

In some embodiments, sending the plurality of types of data to the edge storage device according to the corresponding data grades includes:

and sending the target data to the edge storage device according to the network transmission mode of the target data.

All the above optional technical solutions can be combined arbitrarily to form an optional embodiment of the present application, and the present application embodiment is not described in detail again.

Fig. 3 is a flowchart of a method for storing automatic driving data according to an embodiment of the present disclosure, and referring to fig. 3, the method includes the following steps.

Step 301: during the automatic driving process, the automobile acquires automatic driving data, wherein the automatic driving data at least comprises driving data of the automobile, environment visual data of the current environment and traffic data.

Because traffic accidents are all sudden accidents, in order to avoid missing some information, the automatic driving data of the automobile can be obtained in the automatic driving process of the automobile. In addition, in the process of automatic driving of the automobile, if a traffic accident occurs, the cause of the traffic accident may be related to the current environment of the automobile, the driving data of the automobile and the current traffic data, so that the automatic driving data at least can be used for displaying the driving data of the automobile, the environment vision data of the current environment and the traffic data.

It should be noted that the automobile may acquire the automatic driving data in real time or at specified time intervals, which are usually small, for example, 1 minute, 30 seconds, etc., in order to avoid missing some data in case of a traffic accident.

As an example, the operation of the automobile to acquire the automatic driving data of the automobile may be: acquiring state data and dynamic data in the driving process of the automobile through an automobile body sensor installed on the automobile; and/or collecting the environmental visual data of the current environment of the automobile through the installed camera, the radar sensor and the positioning device; and/or receiving traffic data sent by the road infrastructure equipment through a V2X (Vehicle to outside information exchange) technology.

When a traffic accident occurs in an automatically driven automobile, the accident cause needs to be analyzed through data including state data and dynamic data of the automobile, so that various automobile body sensors can be mounted on the automobile, and the state data and the dynamic data of the automobile in the driving process can be collected through the various automobile body sensors. The various body sensors may be speed sensors, brake pedal pressure sensors, steering wheel pressure sensors, angle sensors, and the like.

It should be noted that the state data may include the driving direction, driving mode, driving speed, steering wheel angle, torque, braking force applied to the braking device, torque, control data of different modules of the unit in the vehicle, and the like, and the dynamic data may include resistance applied to the vehicle, windward area, tire elasticity, driving force, and the like.

When the traffic accident happens to the automatically driven automobile, the reason of the traffic accident is related to the current environment of the automobile, so that the automobile can acquire the environmental visual data of the current environment of the automobile through the installed camera, the radar sensor and the positioning device.

It should be noted that the radar sensor may include a 360-degree laser radar installed on a roof, four mid-range radar sensors installed on a vehicle body, one long-range radar sensor, and ten ultrasonic radars, a detection angle of each of the four mid-range radar sensors may be 150 degrees, a detection distance may be 80 meters, a detection angle of the long-range radar sensor may be 20 degrees, and a detection distance may be 175 meters, or a detection angle of 90 degrees, and a detection distance may be 60 meters. The camera can include a stereo camera and a close-range camera, the stereo camera can be a front-view camera, and the close-range camera can be a surround-view camera. The Positioning device may be a GPS (Global Positioning System) System, and the GPS System may be a centimeter-level System.

When a traffic accident occurs to an automobile, the traffic accident is related to the current traffic situation, so that the automobile can receive traffic data sent by road infrastructure equipment through the V2X technology.

It should be noted that the traffic data may include traffic light data, bus signal priority data, emergency rescue priority data, and the like.

Step 302: the automobile stores the automatic driving data through the installed recording terminal.

In order to facilitate the driver to view the automatic driving data of the vehicle, the vehicle may store the automatic driving data through a recording terminal installed.

It should be noted that the recording terminal can store various data such as text, image, video, audio, and the like. The recording terminal may be integrated in a domain controller of the car.

As an example, an automobile may store the autopilot data in accordance with configuration parameters sent by the enterprise data recording platform, including data storage formats.

It should be noted that the configuration parameters may include a storage format, a storage frequency, a storage combination, and the like. For example, the storage format may be: the forward-looking stereo camera data is 10fps, the RGB + look around camera data is 1fps, the RCCB + long-distance radar data is 20fps, and the traffic signal is 1fps + the state data of the automobile, or is: 10fps of laser radar point cloud data, 1fps of GPS positioning information, 20fps of long-distance radar data, 5fps of middle-distance radar data, an accelerator request value, a real value, a steering torque request value, a real value and the like.

As an example, the configuration parameter may be a first configuration sub-parameter sent by the enterprise data recording platform to the recording terminal, and the configuration parameter may include a first configuration sub-parameter sent by the supervisory data platform, or include the first configuration sub-parameter and a second configuration sub-parameter sent by the enterprise data recording platform.

Step 303: and when the automobile detects that the storage period is reached, the automatic driving data stored in the storage period is transferred to the enterprise data recording platform.

Because the storage space of the recording terminal of the automobile is limited, in order to prevent the automatic driving data from being lost, the automobile can transfer the automatic driving data stored in the storage period to the enterprise data recording platform when detecting that the storage period is reached.

As an example, an automobile may communicate directly with an enterprise data logging platform and send stored autopilot data for a storage period to the enterprise data logging platform for offloading the autopilot data to the enterprise data logging platform.

It should be noted that the storage period may be set in advance according to requirements, for example, the storage period may be 1 week, 3 days, and so on. In addition, the storage period of each type of data in the automatic driving data may be the same or different, for example, the storage period of the vehicle driving data may be the same or different from the storage period of the traffic data.

As an example, in order to ensure the reliability and safety of data storage, when the automobile detects that the storage period is reached, the automobile may further send the automatic driving data stored in the storage period to the edge storage device, and then the edge storage device may forward the automatic driving data to the enterprise data recording platform.

It should be noted that the edge storage device is any edge storage device that is currently closest to the vehicle.

In some embodiments, the vehicle may divide the automatic driving data into multiple types of data according to different properties of each data in the automatic driving data, each type of data may correspond to a different data class, and the data of different data classes may correspond to different network transmission modes. Accordingly, the operation of the vehicle to dump stored autopilot data during a storage period to the enterprise data logging platform may further comprise: determining a data grade of each type of data in a plurality of types of data included in the automatic driving data; and sending the multi-class data to the edge storage equipment according to the corresponding data grades so that the edge storage equipment stores the automatic driving data sent by the automobile and forwards the automatic driving data to the enterprise data recording platform.

It should be noted that the data level may be a priority of the data. The priority of the data is proportional to the importance of the data, i.e., the more important the data, the higher the priority of the data.

As an example, the operation of the automobile to send the automatic driving data in the storage period to the edge storage device may be: sorting the multi-class data from high to low according to the data grade; and sending the automatic driving data to the edge storage equipment according to the sorting sequence of the various types of data.

It is worth explaining that the automatic driving data can be sent to the edge storage device according to the data grade of the automatic driving data, so that important data can be sent preferentially, and the reliability and safety of data storage are improved.

As an example, in the process of sending multiple types of data to the edge storage device according to the corresponding data grades, the automatic driving data may be sent according to the data grades, and the network transmission mode corresponding to each type of data may be considered at the same time. That is, the operation of the vehicle transmitting the automatic driving data within the storage period to the edge storage device may further include: determining a network transmission mode corresponding to target data according to the data grade of the target data, wherein the target data is any one of multiple types of data; and sending the target data to the edge storage equipment according to the network transmission mode of the target data. That is, the data with different priorities have different corresponding network security architectures and different network transmission modes.

When the network is a 5G (5th generation mobile communication network) network, the network transmission method corresponding to data of different data levels is a 5G private network 5G_x(0<x<m, m is a positive integer greater than or equal to 1).

Step 304: the enterprise data recording platform receives and stores the autopilot data of the automobile.

Therefore, the enterprise data and the platform can receive the automatic driving data directly sent by the automobile and also can receive the automatic driving data sent by the edge storage device.

As an example, the enterprise data logging platform may provide data storage, querying, vehicle real-time status monitoring, vehicle alarm information processing, and other functions.

It should be noted that the autopilot data stored in the enterprise data platform can be used as a training set for the optimization of the autopilot deep learning model.

Step 305: and the enterprise data platform sends the data meeting the uploading requirement in the automatic driving data to the supervision data platform.

Since the regulatory data platforms are typically government regulatory platforms, these platforms need not store all of the data, and the regulatory data platforms may provide for the querying and management of data stored in subordinate regulatory and enterprise data recording platforms. Therefore, the enterprise data platform can send the data meeting the uploading requirement in the automatic driving data to the supervision data platform.

It should be noted that the supervisory data platform may query the enterprise data platform for source data including the auto-driving data not uploaded by the enterprise data platform at any time.

As an example, the automatic driving data stored in the enterprise data platform and the supervision data platform can be viewed by users with authority, but cannot be edited, so that the fairness of the data is guaranteed.

In some embodiments, for users of different platforms, the user of each platform may have different permissions, and the data allowed to be viewed by the users having different permissions is different, that is, when the enterprise data recording platform or the supervisory data platform receives a data viewing instruction, the viewing permission of the currently logged-in user account may be determined, and the corresponding automatic driving data may be displayed according to the viewing permission of the user.

In the embodiment of the application, the automobile can store the automatic driving data including the driving data of the automobile, the environment visual data of the current environment and the traffic data in the automobile, and the visual data can be stored as well as the digital data and the character data, so that the comprehensiveness of automatic driving data storage is improved. In addition, because the automatic driving data can be transferred to the enterprise data recording platform, and the enterprise data recording platform can send the automatic driving data which more meets the uploading requirement to the supervision data platform, the automatic driving data can be utilized by each platform, and the utilization rate of the automatic driving data is improved.

After explaining a method of storing the automatic driving data provided in the embodiment of the present application, a storage apparatus for the automatic driving data provided in the embodiment of the present application will be described next.

Fig. 4 is a schematic structural diagram of an automatic driving data storage device provided in an embodiment of the present application, where the automatic driving data storage device may be implemented by software, hardware, or a combination of the two as part of or all of an automobile. Referring to fig. 4, the apparatus includes: an acquisition module 401, a storage module 402 and a dump module 403.

An obtaining module 401, configured to obtain automatic driving data of an automobile in an automatic driving process, where the automatic driving data at least includes driving data of the automobile, environmental visual data of a current environment, and traffic data;

a storage module 402 for storing the automatic driving data through the car-mounted recording terminal;

and the dump module 403 is configured to dump the automatic driving data stored in the storage period to an enterprise data recording platform when it is detected that the storage period is reached, where the enterprise data recording platform is configured to store the automatic driving data of the automobile, and send data meeting an uploading requirement in the automatic driving data to a supervision data platform.

In some embodiments, the obtaining module 401 is configured to:

In some embodiments, the storage module 402 is configured to:

In some embodiments, referring to fig. 5, the unloading module 403 includes:

a determination submodule 4031 configured to determine a data rank of each of a plurality of types of data included in the automatic driving data;

the sending submodule 4032 is configured to send the multiple types of data to an edge storage device according to corresponding data grades, so that the edge storage device stores the automatic driving data sent by the automobile, and forwards the automatic driving data to the enterprise data recording platform.

In some embodiments, the sending sub-module 4032 is configured to:

sorting the multi-class data from high to low according to the data grade;

In some embodiments, the sending sub-module 4032 is configured to:

It should be noted that: in the storage device for storing the automatic driving data according to the above embodiment, only the division of the functional modules is illustrated, and in practical applications, the above function distribution may be completed by different functional modules according to needs, that is, the internal structure of the device may be divided into different functional modules to complete all or part of the above described functions. In addition, the storage device of the automatic driving data provided by the above embodiment and the storage method embodiment of the automatic driving data belong to the same concept, and the specific implementation process thereof is described in detail in the method embodiment and is not described herein again.

Fig. 6 is a block diagram of an automobile 600 according to an embodiment of the present disclosure.

Generally, the automobile 600 includes: a processor 601 and a memory 602.

The processor 601 may include one or more processing cores, such as a 4-core processor, an 8-core processor, and so on. The processor 601 may be implemented in at least one hardware form of a DSP (Digital Signal Processing), an FPGA (Field-Programmable Gate Array), and a PLA (Programmable Logic Array). The processor 601 may also include a main processor and a coprocessor, where the main processor is a processor for processing data in an awake state, and is also called a Central Processing Unit (CPU); a coprocessor is a low power processor for processing data in a standby state. In some embodiments, the processor 601 may be integrated with a GPU (Graphics Processing Unit), which is responsible for rendering and drawing the content required to be displayed on the display screen. In some embodiments, processor 601 may also include an AI (Artificial Intelligence) processor for processing computational operations related to machine learning.

The memory 602 may include one or more computer-readable storage media, which may be non-transitory. The memory 602 may also include high-speed random access memory, as well as non-volatile memory, such as one or more magnetic disk storage devices, flash memory storage devices. In some embodiments, a non-transitory computer readable storage medium in memory 602 is used to store at least one instruction for execution by processor 601 to implement a method of storing autopilot data as provided by method embodiments herein.

In some embodiments, the vehicle 600 may further optionally include: a peripheral interface 603 and at least one peripheral. The processor 601, memory 602, and peripheral interface 603 may be connected by buses or signal lines. Various peripheral devices may be connected to the peripheral interface 603 via a bus, signal line, or circuit board. Specifically, the peripheral device includes: at least one of a radio frequency circuit 604, a display 605, a camera assembly 606, an audio circuit 607, a positioning component 608, and a power supply 609.

The peripheral interface 603 may be used to connect at least one peripheral related to I/O (Input/Output) to the processor 601 and the memory 602. In some embodiments, the processor 601, memory 602, and peripheral interface 603 are integrated on the same chip or circuit board; in some other embodiments, any one or two of the processor 601, the memory 602, and the peripheral interface 603 may be implemented on a separate chip or circuit board, which is not limited in this embodiment.

The Radio Frequency circuit 604 is used for receiving and transmitting RF (Radio Frequency) signals, also called electromagnetic signals. The radio frequency circuitry 604 communicates with communication networks and other communication devices via electromagnetic signals. The rf circuit 604 converts an electrical signal into an electromagnetic signal to transmit, or converts a received electromagnetic signal into an electrical signal. Optionally, the radio frequency circuit 604 comprises: an antenna system, an RF transceiver, one or more amplifiers, a tuner, an oscillator, a digital signal processor, a codec chipset, a subscriber identity module card, and so forth. The radio frequency circuitry 604 may communicate with other terminals via at least one wireless communication protocol. The wireless communication protocols include, but are not limited to: the world wide web, metropolitan area networks, intranets, generations of mobile communication networks (2G, 3G, 4G, and 5G), Wireless local area networks, and/or WiFi (Wireless Fidelity) networks. In some embodiments, the rf circuit 604 may further include NFC (Near field communication) related circuits, which are not limited in this application.

The display 605 is used to display a UI (User Interface). The UI may include graphics, text, icons, video, and any combination thereof. When the display screen 605 is a touch display screen, the display screen 605 also has the ability to capture touch signals on or over the surface of the display screen 605. The touch signal may be input to the processor 601 as a control signal for processing. At this point, the display 605 may also be used to provide virtual buttons and/or a virtual keyboard, also referred to as soft buttons and/or a soft keyboard. In some embodiments, the display 605 may be one, providing the front panel of the automobile 600; in other embodiments, the display 605 may be at least two, respectively disposed on different surfaces of the vehicle 600 or in a folded design; in still other embodiments, the display 605 may be a flexible display disposed on a curved surface or on a folded surface of the automobile 600. Even more, the display 605 may be arranged in a non-rectangular irregular pattern, i.e., a shaped screen. The Display 605 may be made of LCD (liquid crystal Display), OLED (organic light-Emitting Diode), and the like.

The camera assembly 606 is used to capture images or video. Optionally, the camera assembly 606 includes any one of a main camera, a depth-of-field camera, a wide-angle camera, and a telephoto camera, so as to implement a background blurring function implemented by the fusion of the main camera and the depth-of-field camera, implement a panoramic shooting function and a VR (Virtual Reality) shooting function implemented by the fusion of the main camera and the wide-angle camera, or implement other fusion shooting functions. In some embodiments, camera assembly 606 may also include a flash. The flash lamp can be a monochrome temperature flash lamp or a bicolor temperature flash lamp. The double-color-temperature flash lamp is a combination of a warm-light flash lamp and a cold-light flash lamp, and can be used for light compensation at different color temperatures.

Audio circuitry 607 may include a microphone and a speaker. The microphone is used for collecting sound waves of a user and the environment, converting the sound waves into electric signals, and inputting the electric signals to the processor 601 for processing or inputting the electric signals to the radio frequency circuit 604 to realize voice communication. For stereo capture or noise reduction purposes, the microphones may be multiple and located in different locations of the vehicle 600. The microphone may also be an array microphone or an omni-directional pick-up microphone. The speaker is used to convert electrical signals from the processor 601 or the radio frequency circuit 604 into sound waves. The loudspeaker can be a traditional film loudspeaker or a piezoelectric ceramic loudspeaker. When the speaker is a piezoelectric ceramic speaker, the speaker can be used for purposes such as converting an electric signal into a sound wave audible to a human being, or converting an electric signal into a sound wave inaudible to a human being to measure a distance. In some embodiments, audio circuitry 607 may also include a headphone jack.

The positioning component 608 is used to locate the current geographic location of the automobile 600 to implement navigation or LBS (location based Service). The positioning component 608 can be a positioning component based on the GPS (global positioning System) in the united states, the beidou System in china, or the galileo System in russia.

The power supply 609 is used to power various components in the automobile 600. The power supply 609 may be ac, dc, disposable or rechargeable. When the power supply 609 includes a rechargeable battery, the rechargeable battery may be a wired rechargeable battery or a wireless rechargeable battery. The wired rechargeable battery is a battery charged through a wired line, and the wireless rechargeable battery is a battery charged through a wireless coil. The rechargeable battery may also be used to support fast charge technology.

In some embodiments, the automobile 600 also includes one or more sensors 610.

Those skilled in the art will appreciate that the configuration shown in fig. 6 is not intended to be limiting of the vehicle 600 and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components may be used.

In some embodiments, a computer-readable storage medium is also provided, in which a computer program is stored, which, when being executed by a processor, implements the steps of the storage method of the automatic driving data in the above-described embodiments. For example, the computer-readable storage medium may be a ROM (Read-only Memory), a RAM (Random Access Memory), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like.

It is noted that the computer-readable storage medium referred to herein may be a non-volatile storage medium, in other words, a non-transitory storage medium.

It should be understood that all or part of the steps for implementing the above embodiments may be implemented by software, hardware, firmware or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. The computer instructions may be stored in the computer-readable storage medium described above.

That is, in some embodiments, there is also provided a computer program product containing instructions which, when run on a computer, cause the computer to perform the steps of the method of storing autopilot data described above.

The above-mentioned embodiments are provided not to limit the present application, and any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the protection scope of the present application.

Claims

1. A method of storing autonomous driving data, the method comprising:

2. The method of claim 1, wherein the obtaining autopilot data for a vehicle comprises:

3. The method of claim 1, wherein the storing the autonomous driving data comprises:

4. The method of claim 1, wherein the unloading stored autopilot data stored during a storage period to an enterprise data logging platform upon detecting that the storage period is reached comprises:

5. The method of claim 4, wherein sending the autopilot data within the storage period to a marginal storage device comprises:

sorting the multi-class data from high to low according to the data grade;

6. The method of claim 4 or 5, wherein said sending said classes of data to an edge storage device according to corresponding data classes comprises:

7. An apparatus for storing automatic driving data, the apparatus comprising:

8. The apparatus of claim 7, wherein the acquisition module is to:

9. The method of claim 1, wherein the storage module is to:

10. A computer-readable storage medium, characterized in that the storage medium has stored therein a computer program which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 6.