CN115842819A - Method, device and equipment for downloading test data of automatic driving system - Google Patents
Method, device and equipment for downloading test data of automatic driving system Download PDFInfo
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Abstract
The embodiment of the disclosure discloses a method, a device and equipment for downloading test data of an automatic driving system. One embodiment of the method comprises: collecting full automatic driving data of the automatic driving vehicle within a preset time period, and uploading the full automatic driving data to a related cloud storage space; in response to receiving the data downloading configuration information, downloading corresponding automatic driving subdata from the cloud storage space according to the data downloading configuration information; in response to receiving prompt information representing insufficient data of the automatic driving subdata and receiving target data downloading configuration information, downloading corresponding target automatic driving subdata from a cloud storage space according to the target data downloading configuration information; storing the autopilot data and the target autopilot data in a target database. This embodiment reduces the pressure on the transmission of system information.
Description
Technical Field
The embodiment of the disclosure relates to the technical field of computers, in particular to a method, a device and equipment for downloading test data of an automatic driving system.
Background
In each research and development work of the automatic driving system, solving the problem found by system test is important, because the automatic driving function realization and the quality improvement are directly influenced. Test data to manage these problems is a prerequisite for efficient and acceptable problem resolution by the individual modules of the autopilot. Different modules for automatic driving perception, planning and control and the like rely on different output data to analyze and solve the problem of the module, and therefore different data are required to be provided in a matching mode according to the requirements of the different modules for solving the problem. Currently, in the automatic driving system test, the mode of saving the test data is usually: and directly storing the full data and uploading the data to a cloud storage.
Firstly, when a plurality of users download and use the full amount of data, the transmission pressure of system information is larger;
secondly, since the automatic driving data has sensitivity, the data is directly stored, and data leakage is easily caused;
thirdly, the amount of automatic driving data is large, which easily causes insufficient storage space of cloud storage.
The above information disclosed in this background section is only for enhancement of understanding of the background of the inventive concept and, therefore, it may contain information that does not form the prior art that is already known to a person of ordinary skill in the art in this country.
Disclosure of Invention
This summary is provided to introduce a selection of concepts in a simplified form that are further described below in the detailed description. This summary is not intended to identify key features or essential features of the claimed subject matter, nor is it intended to be used to limit the scope of the claimed subject matter.
Some embodiments of the present disclosure propose autopilot system test data downloading methods, apparatuses, electronic devices and computer readable media to address one or more of the technical problems mentioned in the background section above.
In a first aspect, some embodiments of the present disclosure provide a method for downloading autopilot system test data, the method comprising: collecting full automatic driving data of an automatic driving vehicle in a preset time period, and uploading the full automatic driving data to a related cloud storage space; responding to received data downloading configuration information, and downloading corresponding automatic driving subdata from the cloud storage space according to the data downloading configuration information, wherein the data downloading configuration information comprises at least one data downloading configuration item; in response to receiving prompt information representing insufficient data of the automatic driving subdata and receiving target data downloading configuration information, downloading corresponding target automatic driving subdata from the cloud storage space according to the target data downloading configuration information, wherein the target data downloading configuration information comprises at least one target data downloading configuration item; and storing the automatic driving subdata and the target automatic driving subdata into a target database.
In a second aspect, some embodiments of the present disclosure provide an autopilot system test data downloading apparatus, the apparatus comprising: the system comprises a collecting unit, a cloud storage space and a control unit, wherein the collecting unit is configured to collect full automatic driving data of an automatic driving vehicle in a preset time period and upload the full automatic driving data to the associated cloud storage space; the first downloading unit is configured to respond to the receiving of data downloading configuration information, and download corresponding automatic driving subdata from the cloud storage space according to the data downloading configuration information, wherein the data downloading configuration information comprises at least one data downloading configuration item; a second downloading unit, configured to, in response to receiving prompt information indicating that data of the autopilot data is insufficient and receiving target data downloading configuration information, download corresponding target autopilot data from the cloud storage space according to the target data downloading configuration information, where the target data downloading configuration information includes at least one target data downloading configuration item; a storage unit configured to store the above described autopilot data and the above described target autopilot data into a target database.
In a third aspect, some embodiments of the present disclosure provide an electronic device, comprising: one or more processors; a storage device, on which one or more programs are stored, which when executed by one or more processors cause the one or more processors to implement the method described in any implementation of the first aspect.
In a fourth aspect, some embodiments of the present disclosure provide a computer readable medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the method described in any of the implementations of the first aspect.
The above embodiments of the present disclosure have the following advantages: by the automatic driving system test data downloading method of some embodiments of the present disclosure, the pressure of system information transmission is reduced. Specifically, the reason why the system information transmission pressure is large is that: when a plurality of users download and use the full amount of data, the transmission pressure of system information is large. Based on this, the method for downloading the test data of the automatic driving system according to some embodiments of the present disclosure first collects the full automatic driving data of the automatic driving vehicle within a preset time period, and uploads the full automatic driving data to the associated cloud storage space. Therefore, the automatic driving data can be conveniently downloaded subsequently. And then, in response to the received data downloading configuration information, downloading corresponding automatic driving subdata from the cloud storage space according to the data downloading configuration information. The data downloading configuration information comprises at least one data downloading configuration item. Therefore, the automatic driving data can be downloaded according to the requirements of technicians, and full downloading is not needed. And then, in response to receiving prompt information representing insufficient data of the automatic driving subdata and receiving target data downloading configuration information, downloading corresponding target automatic driving subdata from the cloud storage space according to the target data downloading configuration information. The target data downloading configuration information comprises at least one target data downloading configuration item. Therefore, when the downloaded data is insufficient, the configuration can be modified again to obtain the desired data, and the extra consumed resources after modification are reduced as much as possible. And finally, storing the automatic driving subdata and the target automatic driving subdata into a target database. Therefore, full downloading is not needed, and the pressure of system information transmission is reduced.
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The above and other features, advantages and aspects of various embodiments of the present disclosure will become more apparent by referring to the following detailed description when taken in conjunction with the accompanying drawings. Throughout the drawings, the same or similar reference numbers refer to the same or similar elements. It should be understood that the drawings are schematic and that elements and elements are not necessarily drawn to scale.
FIG. 1 is a flow diagram of some embodiments of an autopilot system test data download method according to the present disclosure;
FIG. 2 is a schematic block diagram of some embodiments of an autopilot system test data download apparatus according to the present disclosure;
FIG. 3 is a schematic block diagram of an electronic device suitable for use in implementing some embodiments of the present disclosure.
Detailed Description
Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While certain embodiments of the present disclosure are shown in the drawings, it is to be understood that the disclosure may be embodied in various forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided for a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the disclosure are for illustration purposes only and are not intended to limit the scope of the disclosure.
It should be noted that, for convenience of description, only the portions related to the related invention are shown in the drawings. The embodiments and features of the embodiments in the present disclosure may be combined with each other without conflict.
It should be noted that the terms "first", "second", and the like in the present disclosure are only used for distinguishing different devices, modules or units, and are not used for limiting the order or interdependence relationship of the functions performed by the devices, modules or units.
It is noted that references to "a" or "an" in this disclosure are intended to be illustrative rather than limiting, and that those skilled in the art will appreciate that references to "one or more" are intended to be exemplary and not limiting unless the context clearly indicates otherwise.
The names of messages or information exchanged between devices in the embodiments of the present disclosure are for illustrative purposes only, and are not intended to limit the scope of the messages or information.
The present disclosure will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.
FIG. 1 is a flow diagram of some embodiments of an autopilot system test data download method according to the present disclosure. A flow 100 of some embodiments of an autopilot system test data download method according to the present disclosure is shown. The automatic driving system test data downloading method comprises the following steps:
In some embodiments, an execution subject (e.g., a vehicle-mounted terminal) of the automatic driving system test data downloading method may collect full automatic driving data of the automatic driving vehicle within a preset time period through wired connection or wireless connection, and upload the full automatic driving data to an associated cloud storage space. The full-scale autonomous driving data may refer to respective driving data generated by the autonomous vehicle within a preset time period. The cloud storage space may refer to a set cloud storage. Here, the setting of the preset time period is not limited.
And 102, in response to receiving data downloading configuration information, downloading corresponding automatic driving sub data from the cloud storage space according to the data downloading configuration information.
In some embodiments, the execution main body may download, in response to receiving the data download configuration information, corresponding autopilot data from the cloud storage space according to the data download configuration information. The data downloading configuration information comprises at least one data downloading configuration item. The data download configuration item may refer to a parameter item of the configured download data. The at least one data download configuration item comprises: date range, time range, data category, data subcategory. The data category may represent a category of the downloaded autonomous driving data. For example, the data categories may include: a driving category, a voice category. The data subcategories may refer to categories of specific autonomous driving data. For example, the data subcategories may include: lane change data, straight data, chinese speech, english speech. The data download configuration information may refer to data download configuration information transmitted by a technician.
In practice, the execution main body may download the autopilot data corresponding to the date range, the time range, the data category, and the data subcategory from the cloud storage space. Namely, the automatic driving subdata is in the date range and the time range, and the data is characterized by the data category and the data subcategory.
Alternatively, the autopilot data may be stored in a target database.
And 103, in response to receiving prompt information representing insufficient data of the automatic driving subdata and receiving target data downloading configuration information, downloading corresponding target automatic driving subdata from the cloud storage space according to the target data downloading configuration information.
In some embodiments, the execution main body may download, in response to receiving prompt information indicating data shortage of the autopilot data and receiving target data download configuration information, corresponding target autopilot data from the cloud storage space according to the target data download configuration information. The target data downloading configuration information comprises at least one target data downloading configuration item. The at least one target data download configuration item includes: target date range, target time range, target data category, target data subcategory. The target date range is the same as the date range, the target time range is the same as the time range, the target data category is the same as the data category, and the target data sub-category is different from the data sub-category. The target data download configuration information may refer to configuration information of supplementary download data transmitted by a technician. The prompt message may refer to incomplete data of the autopilot data.
In practice, the execution main body may download, from the cloud storage space, the automatic driving sub-data corresponding to the target date range, the target time range, the target data category, and the target data sub-category as the target automatic driving sub-data.
And 104, storing the automatic driving subdata and the target automatic driving subdata into a target database.
In some embodiments, the execution body may store the automatic driving sub-data and the target automatic driving sub-data in a target database. The target database may refer to a database of a terminal that transmits the data download configuration information.
In practice, the execution main body may store the automatic driving sub-data and the target automatic driving sub-data in a target database by:
first, the automatic driving subdata and the target automatic driving subdata are combined into automatic driving subdata information. Combining may refer to splicing.
And secondly, splicing the automatic driving subdata information, the preset character string and the current timestamp into alternative automatic driving subdata information. Here, the preset character string may be a preset character string.
And thirdly, performing first encryption processing on the alternative automatic driving sub-data information to generate first encrypted alternative automatic driving sub-data information. The first encryption process may refer to encryption by a symmetric encryption algorithm.
And fourthly, splicing the alternative automatic driving sub-data information, the preset character string and the first encrypted alternative automatic driving sub-data information into second alternative automatic driving sub-data information.
And fifthly, performing second encryption processing on the second candidate automatic driving sub-data information to generate second encrypted automatic driving sub-data information. The second encryption process may refer to encryption by a symmetric encryption algorithm.
And sixthly, splicing the second encrypted automatic driving sub-data information, the preset character string and the target key into third alternative automatic driving sub-data information.
And seventhly, encrypting the third alternative automatic driving sub-data information through a preset public key to generate target automatic driving sub-data information. The preset public key may be a preset public key.
And eighthly, storing the target automatic driving subdata information into a target database.
The related content in the first step to the eighth step serves as an inventive point of the present disclosure, and solves the technical problem two mentioned in the background art that data leakage is easily caused. ". The factors that easily cause data leakage are often as follows: since the automatic driving data has sensitivity, the data is directly saved. If the factors are solved, the effect of improving the data confidentiality can be achieved. To achieve this effect, the automatic driving sub-data and the target automatic driving sub-data are combined into automatic driving sub-data information. And secondly, splicing the automatic driving subdata information, the preset character string and the current timestamp into alternative automatic driving subdata information. Thus, the autodrive sub-data information can be marked by utilizing the uniqueness of the current time stamp. And then, carrying out first encryption processing on the candidate automatic driving subdata information to generate first encrypted candidate automatic driving subdata information. Thus, the automatic driving sub data information can be preliminarily encrypted. And then, splicing the alternative automatic driving sub-data information, the preset character string and the first encrypted alternative automatic driving sub-data information into second alternative automatic driving sub-data information. And then, second encryption processing is carried out on the second candidate automatic driving sub-data information to generate second encrypted automatic driving sub-data information. In this way, the autopilot data information can be further encrypted. Then, splicing the second encrypted automatic driving sub-data information, the preset character string and a target key into third alternative automatic driving sub-data information; and encrypting the third candidate automatic driving subdata information through a preset public key to generate target automatic driving subdata information. Therefore, data confidentiality can be improved through multiple encryption. And finally, storing the target automatic driving subdata information into a target database. Thus, the confidentiality of data is improved.
Optionally, for each full amount of automatic driving data in the cloud storage space, the following processing steps are performed:
firstly, according to a time dimension, the full-amount automatic driving data is subjected to segmentation processing to generate an automatic driving data set. That is, the above-described full-scale automatic driving data may be subjected to a segmentation process in accordance with the acquisition time to generate an automatic driving data set. And (4) dividing by using different acquisition times.
And secondly, determining the downloading frequency of each automatic driving data in the automatic driving data set in a preset historical time period to obtain a downloading frequency set. Here, the setting of the preset history time period is not limited. The download frequency may represent the number of downloads of the autonomous driving data over a preset historical period of time.
And thirdly, classifying, storing and processing the automatic driving data set according to the data labels corresponding to the full automatic driving data and the downloading frequency set. The data tags may represent storage tags corresponding to full-scale autopilot data and may include a first tag and a second tag. Wherein the first label may represent a key store. The second label may represent a non-emphasized store.
In practice, the above-mentioned third step may comprise the following sub-steps:
a first substep of, in response to the data tag being a first tag, executing, for each autonomous driving data in the autonomous driving data set, the following processing steps:
1. and determining whether the downloading frequency corresponding to the automatic driving data is greater than or equal to a first preset frequency.
2. And in response to the fact that the downloading frequency corresponding to the automatic driving data is greater than or equal to the first preset frequency, storing the automatic driving data into a first storage node of the cloud storage space. Here, the first storage node may be a node set in the cloud storage space and configured to store the automatic driving data with the download frequency corresponding to the first tag being greater than or equal to the first preset frequency.
3. And deleting the automatic driving data in response to the fact that the downloading frequency corresponding to the automatic driving data is smaller than the first preset frequency.
A second substep of, in response to the data tag being a second tag, executing, for each autonomous driving data in the autonomous driving data set, the following processing steps:
1. and determining whether the downloading frequency corresponding to the automatic driving data is greater than or equal to a second preset frequency. Wherein, the second preset frequency is larger than the first preset frequency.
2. And in response to the fact that the downloading frequency corresponding to the automatic driving data is greater than or equal to the second preset frequency, storing the automatic driving data into a second storage node of the cloud storage space. The second storage node may be a node set in the cloud storage space and configured to store the automatic driving data with the download frequency corresponding to the second tag being greater than or equal to the second preset frequency.
3. And deleting the automatic driving data in response to the fact that the downloading frequency corresponding to the automatic driving data is smaller than the second preset frequency.
The above related contents serve as an invention point of the present disclosure, and solve the technical problem mentioned in the background art that "the storage space of cloud storage is easily insufficient". ". The factors that tend to cause insufficient storage space for cloud storage are as follows: the amount of automatic driving data is large. If the above factors are solved, the effect of relieving the storage pressure of cloud storage can be achieved. To achieve this, first, the full-scale automatic driving data is subjected to segmentation processing in the time dimension to generate an automatic driving data set. Therefore, classified storage of the automatic driving data is facilitated. And secondly, determining the downloading frequency of each automatic driving data in the automatic driving data set in a preset historical time period to obtain a downloading frequency set. Therefore, whether the automatic driving data need to be reserved or not can be conveniently judged according to the downloading frequency. And then, classifying and storing the automatic driving data set according to the data labels corresponding to the full automatic driving data and the downloading frequency set. For example, in response to determining that the download frequency corresponding to the automatic driving data is less than the first preset frequency, the automatic driving data is deleted. Thus, the storage space of the cloud storage can be released. Finally, in response to the fact that the downloading frequency corresponding to the automatic driving data is larger than or equal to the second preset frequency, storing the automatic driving data into a second storage node of the cloud storage space; and deleting the automatic driving data in response to the fact that the downloading frequency corresponding to the automatic driving data is smaller than the second preset frequency. Thus, different kinds of automatic driving data can be classified and stored. And the storage space of the cloud storage can be released. Thus, the storage pressure of cloud storage is relieved.
With further reference to fig. 2, as an implementation of the methods illustrated in the above figures, the present disclosure provides some embodiments of an autopilot system test data download apparatus, which correspond to those method embodiments illustrated in fig. 1, and which may be particularly applicable in various electronic devices.
As shown in fig. 2, the autopilot system test data downloading apparatus 200 of some embodiments includes: the device comprises an acquisition unit 201, a first downloading unit 202, a second downloading unit 203 and a storage unit 204. The acquisition unit 201 is configured to acquire full-amount automatic driving data of the automatic driving vehicle within a preset time period and upload the full-amount automatic driving data to an associated cloud storage space; a first downloading unit 202, configured to, in response to receiving data downloading configuration information, download corresponding autopilot data from the cloud storage space according to the data downloading configuration information, where the data downloading configuration information includes at least one data downloading configuration item; a second downloading unit 203, configured to, in response to receiving prompt information indicating that the data of the autopilot data is insufficient and receiving target data downloading configuration information, download corresponding target autopilot data from the cloud storage space according to the target data downloading configuration information, where the target data downloading configuration information includes at least one target data downloading configuration item; a storage unit 204 configured to store the above described autopilot data and the above described target autopilot data in a target database.
It is understood that the elements described in the autopilot system test data download apparatus 200 correspond to the various steps in the method described with reference to fig. 1. Thus, the operations, features and resulting benefits described above with respect to the method are also applicable to the autopilot system test data downloading apparatus 200 and the units included therein, and are not described herein again.
Referring now to FIG. 3, a block diagram of an electronic device (e.g., an in-vehicle terminal) 300 suitable for use in implementing some embodiments of the present disclosure is shown. The electronic device in some embodiments of the present disclosure may include, but is not limited to, mobile terminals such as mobile phones, notebook computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), in-vehicle terminals (e.g., in-vehicle navigation terminals), and the like, and fixed terminals such as digital TVs, desktop computers, and the like. The electronic device shown in fig. 3 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present disclosure.
As shown in fig. 3, the electronic device 300 may include a processing means (e.g., a central processing unit, a graphics processor, etc.) 301 that may perform various appropriate actions and processes in accordance with a program stored in a Read Only Memory (ROM) 302 or a program loaded from a storage means 308 into a Random Access Memory (RAM) 303. In the RAM303, various programs and data necessary for the operation of the electronic apparatus 300 are also stored. The processing device 301, the ROM302, and the RAM303 are connected to each other via a bus 304. An input/output (I/O) interface 305 is also connected to bus 304.
Generally, the following devices may be connected to the I/O interface 305: input devices 306 including, for example, a touch screen, touch pad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc.; an output device 307 including, for example, a Liquid Crystal Display (LCD), a speaker, a vibrator, and the like; storage devices 308 including, for example, magnetic tape, hard disk, etc.; and a communication device 309. The communication means 309 may allow the electronic device 300 to communicate wirelessly or by wire with other devices to exchange data. While fig. 3 illustrates an electronic device 300 having various means, it is to be understood that not all illustrated means are required to be implemented or provided. More or fewer devices may alternatively be implemented or provided. Each block shown in fig. 3 may represent one device or may represent multiple devices, as desired.
In particular, according to some embodiments of the present disclosure, the processes described above with reference to the flow diagrams may be implemented as computer software programs. For example, some embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In some such embodiments, the computer program may be downloaded and installed from a network through the communication device 309, or installed from the storage device 308, or installed from the ROM 302. The computer program, when executed by the processing apparatus 301, performs the above-described functions defined in the methods of some embodiments of the present disclosure.
It should be noted that the computer readable medium described in some embodiments of the present disclosure may be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In some embodiments of the disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In some embodiments of the present disclosure, however, a computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, optical cables, RF (radio frequency), etc., or any suitable combination of the foregoing.
In some embodiments, the clients, servers may communicate using any currently known or future developed network Protocol, such as HTTP (HyperText Transfer Protocol), and may be interconnected with any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), the Internet (e.g., the Internet), and peer-to-peer networks (e.g., ad hoc peer-to-peer networks), as well as any currently known or future developed network.
The computer readable medium may be embodied in the electronic device; or may exist separately without being assembled into the electronic device. The computer readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to: collecting full automatic driving data of an automatic driving vehicle in a preset time period, and uploading the full automatic driving data to a related cloud storage space; responding to received data downloading configuration information, and downloading corresponding automatic driving subdata from the cloud storage space according to the data downloading configuration information, wherein the data downloading configuration information comprises at least one data downloading configuration item; in response to receiving prompt information representing insufficient data of the automatic driving subdata and receiving target data downloading configuration information, downloading corresponding target automatic driving subdata from the cloud storage space according to the target data downloading configuration information, wherein the target data downloading configuration information comprises at least one target data downloading configuration item; and storing the automatic driving subdata and the target automatic driving subdata into a target database.
Computer program code for carrying out operations for embodiments of the present disclosure may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, smalltalk, C + +, and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the latter scenario, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems that perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units described in some embodiments of the present disclosure may be implemented by software, and may also be implemented by hardware. The described units may also be provided in a processor, and may be described as: a processor comprises an acquisition unit, a first downloading unit, a second downloading unit and a storage unit. The names of these units do not limit the unit itself in some cases, for example, the second unit may be further described as "a unit that downloads the corresponding target autopilot data from the cloud storage space in response to receiving the prompt information indicating that the data of the autopilot data is insufficient and receiving the target data download configuration information according to the target data download configuration information".
The functions described herein above may be performed, at least in part, by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), systems on a chip (SOCs), complex Programmable Logic Devices (CPLDs), and the like.
The foregoing description is only exemplary of the preferred embodiments of the disclosure and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the invention in the embodiments of the present disclosure is not limited to the specific combination of the above-mentioned features, but also encompasses other embodiments in which any combination of the above-mentioned features or their equivalents is made without departing from the inventive concept as defined above. For example, the above features and (but not limited to) technical features with similar functions disclosed in the embodiments of the present disclosure are mutually replaced to form the technical solution.
Claims (6)
1. An autopilot system test data downloading method, comprising:
collecting full automatic driving data of an automatic driving vehicle in a preset time period, and uploading the full automatic driving data to a related cloud storage space;
in response to receiving data downloading configuration information, downloading corresponding automatic driving subdata from the cloud storage space according to the data downloading configuration information, wherein the data downloading configuration information comprises at least one data downloading configuration item;
in response to receiving prompt information representing insufficient data of the automatic driving subdata and receiving target data downloading configuration information, downloading corresponding target automatic driving subdata from the cloud storage space according to the target data downloading configuration information, wherein the target data downloading configuration information comprises at least one target data downloading configuration item;
and storing the automatic driving subdata and the target automatic driving subdata into a target database.
2. The method of claim 1, wherein the at least one data download configuration item comprises: date range, time range, data category, data subcategory; and
the downloading of the corresponding autopilot subdata from the cloud storage space according to the data downloading configuration information includes:
and downloading the automatic driving subdata corresponding to the date range, the time range, the data category and the data subcategory from the cloud storage space.
3. The method of claim 2, wherein the at least one target data download configuration item comprises: a target date range, a target time range, a target data category, and a target data subcategory; and
the downloading of the corresponding target autopilot data from the cloud storage space according to the target data downloading configuration information includes:
and downloading the automatic driving sub-data corresponding to the target date range, the target time range, the target data category and the target data sub-category from the cloud storage space as target automatic driving sub-data, wherein the target date range is the same as the date range, the target time range is the same as the time range, the target data category is the same as the data category, and the target data sub-category is different from the data sub-category.
4. The method of claim 1, wherein the method further comprises:
for each full amount of autopilot data in the cloud storage space, performing the following processing steps:
according to the time dimension, carrying out segmentation processing on the full-scale automatic driving data to generate an automatic driving data set;
determining the downloading frequency of each automatic driving data in the automatic driving data set in a preset historical time period to obtain a downloading frequency set;
and carrying out classified storage processing on the automatic driving data set according to the data labels corresponding to the full automatic driving data and the downloading frequency set.
5. An autopilot system test data download apparatus comprising:
a collection unit configured to collect a full amount of autonomous driving data of an autonomous vehicle within a preset time period and upload the full amount of autonomous driving data to an associated cloud storage space;
a first downloading unit configured to download corresponding autopilot sub-data from the cloud storage space according to data downloading configuration information in response to receiving the data downloading configuration information, wherein the data downloading configuration information includes at least one data downloading configuration item;
a second downloading unit configured to, in response to receiving prompt information indicating data shortage of the autopilot data and receiving target data downloading configuration information, download corresponding target autopilot data from the cloud storage space according to the target data downloading configuration information, wherein the target data downloading configuration information includes at least one target data downloading configuration item;
a storage unit configured to store the autopilot data and the target autopilot data into a target database.
6. An electronic device, comprising:
one or more processors;
a storage device having one or more programs stored thereon;
when executed by the one or more processors, cause the one or more processors to implement the method of any one of claims 1-4.
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| CN114780349A (en) * | 2022-05-05 | 2022-07-22 | 中国第一汽车股份有限公司 | Data processing method and device for automatic driving vehicle |
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| US20200195725A1 (en) * | 2018-12-17 | 2020-06-18 | Beijing Baidu Netcom Science Technology Co., Ltd. | Method, apparatus and system for processing unmanned vehicle data, and storage medium |
| CN110399149A (en) * | 2019-06-26 | 2019-11-01 | 杭州智缤科技有限公司 | A kind of remote upgrade method under low-power consumption scene |
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Address after: 201, 202, 301, No. 56-4 Fenghuang South Road, Huadu District, Guangzhou City, Guangdong Province, 510806 Patentee after: Heduo Technology (Guangzhou) Co.,Ltd. Address before: 100099 101-15, 3rd floor, building 9, yard 55, zique Road, Haidian District, Beijing Patentee before: HOLOMATIC TECHNOLOGY (BEIJING) Co.,Ltd. |
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Denomination of invention: Auto drive system test data download method, device and equipment Granted publication date: 20230523 Pledgee: Bank of Shanghai Co.,Ltd. Beijing Branch Pledgor: Heduo Technology (Guangzhou) Co.,Ltd. Registration number: Y2024980009891 |