WO2020147497A1 - 无人车数据传输方法、装置、系统及存储介质 - Google Patents

无人车数据传输方法、装置、系统及存储介质 Download PDF

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WO2020147497A1
WO2020147497A1 PCT/CN2019/126295 CN2019126295W WO2020147497A1 WO 2020147497 A1 WO2020147497 A1 WO 2020147497A1 CN 2019126295 W CN2019126295 W CN 2019126295W WO 2020147497 A1 WO2020147497 A1 WO 2020147497A1
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Prior art keywords
data
priority
initial data
initial
transmission
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English (en)
French (fr)
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梁家琪
于高
李盖凡
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Beijing Baidu Netcom Science and Technology Co Ltd
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Beijing Baidu Netcom Science and Technology Co Ltd
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W4/00Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/30Services specially adapted for particular environments, situations or purposes
    • H04W4/40Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P]
    • H04W4/44Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P] for communication between vehicles and infrastructures, e.g. vehicle-to-cloud [V2C] or vehicle-to-home [V2H]
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • H04L67/12Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/50Network services
    • H04L67/60Scheduling or organising the servicing of application requests, e.g. requests for application data transmissions using the analysis and optimisation of the required network resources
    • H04L67/61Scheduling or organising the servicing of application requests, e.g. requests for application data transmissions using the analysis and optimisation of the required network resources taking into account QoS or priority requirements
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W72/00Local resource management
    • H04W72/50Allocation or scheduling criteria for wireless resources
    • H04W72/56Allocation or scheduling criteria for wireless resources based on priority criteria
    • H04W72/566Allocation or scheduling criteria for wireless resources based on priority criteria of the information or information source or recipient
    • H04W72/569Allocation or scheduling criteria for wireless resources based on priority criteria of the information or information source or recipient of the traffic information

Definitions

  • This application relates to the field of automobile technology, and in particular to an unmanned vehicle data transmission method, device, system and storage medium.
  • unmanned vehicles With the development of automobile technology, unmanned vehicles have begun to be used, but unmanned vehicles will collect a large amount of data during the driving process, so it is necessary to store and manage the data generated during the driving process of unmanned vehicles.
  • unmanned vehicles continuously store the data generated during driving, and then send them to the cloud server in real time.
  • this data processing method will cause the collected data to occupy a large amount of storage space of the unmanned vehicle, and occupy the network resources of the unmanned vehicle for a long time, causing problems such as network congestion.
  • This application provides an unmanned vehicle data transmission method, device, system and storage medium, which can realize differentiated transmission of data, reduce the data storage volume of the unmanned vehicle and the amount of data sent to the cloud server, save network resources, and improve Data transmission efficiency.
  • an embodiment of the present application provides an unmanned vehicle data transmission method, including:
  • the target data is sent to the cloud server.
  • differentiated data transmission can be realized, the data storage volume of the unmanned vehicle and the data volume sent to the cloud server can be reduced, network resources are saved, and the data transmission efficiency can be improved.
  • the method before determining the priority of the initial data according to the data identifier of the initial data, the method further includes:
  • the corresponding relationship between the data identifier and the priority can be established, and different priorities correspond to different data transmission modes, so that differentiated data transmission can be realized according to the priority.
  • determining the priority of the initial data according to the data identifier of the initial data includes:
  • the priority of the initial data is the first priority
  • the priority of the initial data is the second priority; wherein, the first priority is higher than the second priority.
  • data can be divided according to emergency events and map crowdsourced data, the priority of emergency event data is set to the first priority, and the map crowdsourced data is set to the second priority, so that during data transmission, The emergency data can be transmitted first to ensure the real-time transmission of emergency events and ensure driving safety.
  • preprocessing the initial data to obtain target data includes:
  • the data identifier of the initial data is an emergency data identifier, perform key data extraction and compression processing on the initial data to obtain corresponding target data;
  • the initial data is subjected to mapping preprocessing to obtain corresponding target data.
  • different preprocessing is performed on different data, so as to facilitate the server to further process the received data and improve the data processing efficiency on the server side.
  • determining the transmission mode of the target data according to the priority of the initial data includes:
  • the transmission mode of the target data is real-time transmission;
  • the real-time transmission refers to the generated data during the driving process of the unmanned vehicle Sending target data to the cloud server in real time;
  • the transmission mode of the target data is non-real-time transmission; the non-real-time transmission means that when the unmanned vehicle is in the charging state, it will be preset
  • the target data generated in the time period is sent to the cloud server.
  • an unmanned vehicle data transmission device including:
  • the first determining module is configured to determine the priority of the initial data according to the data identifier of the initial data
  • a preprocessing module for preprocessing the initial data to obtain target data
  • the second determining module is configured to determine the transmission mode of the target data according to the priority of the initial data
  • the transmission module is used to send the target data to the cloud server according to the transmission mode.
  • it also includes:
  • the obtaining module is used to obtain the corresponding relationship between the data identifier and the priority, and the transmission mode of different priority data.
  • the first determining module is specifically used for:
  • the priority of the initial data is the first priority
  • the priority of the initial data is the second priority; wherein, the first priority is higher than the second priority.
  • the preprocessing module is specifically used for:
  • the data identifier of the initial data is an emergency data identifier, perform key data extraction and compression processing on the initial data to obtain corresponding target data;
  • the initial data is subjected to mapping preprocessing to obtain corresponding target data.
  • the second determining module is specifically used for:
  • the transmission mode of the target data is real-time transmission;
  • the real-time transmission refers to the generated data during the driving process of the unmanned vehicle Sending target data to the cloud server in real time;
  • the transmission mode of the target data is non-real-time transmission; the non-real-time transmission means that when the unmanned vehicle is in the charging state, it will be preset
  • the target data generated in the time period is sent to the cloud server.
  • an embodiment of the present application provides an unmanned vehicle data transmission system, including: a memory and a processor.
  • the memory stores executable instructions of the processor; wherein the processor is configured to execute the The instructions can be executed to execute the unmanned vehicle data transmission method described in any one of the first aspect.
  • an embodiment of the present application provides a computer-readable storage medium on which a computer program is stored, and when the program is executed by a processor, the unmanned vehicle data transmission method described in any one of the first aspect is implemented.
  • an embodiment of the present application provides a program product, the program product includes: a computer program, the computer program is stored in a readable storage medium, and at least one processor of the server can read from the readable storage medium Taking the computer program, the at least one processor executes the computer program to make the server execute the unmanned vehicle data transmission method described in any one of the first aspect.
  • This application provides an unmanned vehicle data transmission method, device, system and storage medium.
  • the priority of the initial data is determined according to the data identification of the initial data; the initial data is preprocessed to obtain the target data; The priority of the initial data determines the transmission mode of the target data; according to the transmission mode, the target data is sent to the cloud server.
  • differentiated transmission of data can be realized, the amount of data storage of unmanned vehicles and the amount of data sent to cloud servers can be reduced, network resources can be saved, and data transmission efficiency can be improved.
  • Figure 1 is a schematic diagram of the principle of an application scenario of this application.
  • FIG. 2 is a flowchart of an unmanned vehicle data transmission method provided in Embodiment 1 of this application;
  • FIG. 3 is a flowchart of an unmanned vehicle data transmission method provided in Embodiment 2 of this application;
  • FIG. 4 is a schematic structural diagram of an unmanned vehicle data transmission device provided in Embodiment 3 of this application;
  • FIG. 5 is a schematic structural diagram of an unmanned vehicle data transmission device provided in Embodiment 4 of this application.
  • FIG. 6 is a schematic structural diagram of an unmanned vehicle data transmission system provided by Embodiment 5 of this application.
  • Unmanned vehicles are also called unmanned vehicles. Unmanned vehicles are the product of the combination of the latest technological achievements such as electronic computers and the modern automobile industry. They usually have the functions of automatic driving, automatic transmission, and automatic road recognition. There are a large number of data acquisition devices on unmanned vehicles, such as video image acquisition devices, radar ranging devices, positioning devices, somatosensory devices, etc. During the driving process of the unmanned vehicle, these data collection devices will collect a large amount of data in real time and store it continuously, and then send it to the cloud server; or, after the unmanned vehicle is driven, it will store the data during the driving process. Then send them to the cloud server together.
  • data acquisition devices such as video image acquisition devices, radar ranging devices, positioning devices, somatosensory devices, etc.
  • this data processing method will cause the collected data to occupy a large amount of storage space of the unmanned vehicle, affect the efficiency of data transmission, and cause problems such as network congestion.
  • some data with high real-time requirements are only generated during the driving process of unmanned vehicles, while many other data have very low real-time requirements.
  • Data transmission can be carried out during idle time such as unmanned vehicle charging, and resources can be used rationally.
  • this application provides a method that can set condition information to achieve differentiated transmission of data, reduce the amount of data storage of unmanned vehicles and the amount of data sent to cloud servers, save network resources, and improve data efficiency. Transmission efficiency.
  • FIG. 1 is a schematic diagram of the principle of an application scenario of this application.
  • frequent data interactions are involved between the cloud server 10 and the unmanned vehicle 20.
  • different data has different requirements for data transmission methods and real-time performance, which can differentiate data transmission, thereby improving data transmission efficiency.
  • the unmanned vehicle 10 determines the priority of the initial data according to the data identification of the initial data.
  • the unmanned vehicle preprocesses the initial data to obtain the target data, and determines the transmission mode of the target data according to the priority of the initial data.
  • the unmanned vehicle 10 sends the target data to the cloud server 10 according to the transmission mode.
  • the cloud server 10 can simultaneously perform data transmission with multiple unmanned vehicles 20.
  • the communication method between the cloud server 10 and the unmanned vehicle 20 may also be a wireless transmission method other than OTA.
  • the implementation principle is similar to the above method, and will not be repeated here.
  • the application of the above method can realize differentiated transmission of data, reduce the amount of data storage of unmanned vehicles and the amount of data sent to the cloud server, save network resources, and improve the efficiency of data transmission.
  • Fig. 2 is a flowchart of the unmanned vehicle data transmission method provided in the first embodiment of this application. As shown in Fig. 2, the method in this embodiment may include:
  • the unmanned vehicle system judges the data identification of the initial data. If the data identification of the initial data is the emergency data identification, the priority of the initial data is the first priority; if the data of the initial data is identified If the identifier is a map crowdsourced data identifier, the priority of the initial data is the second priority; where the first priority is higher than the second priority.
  • unmanned vehicles there are a large number of data acquisition devices on unmanned vehicles, such as video image acquisition devices, radar ranging devices, positioning devices, somatosensory devices, and so on.
  • these data collection devices will collect a large amount of data in real time.
  • offline data packages on the unmanned vehicle such as high-precision map navigation packages and application software basic data packages.
  • the time when these data in the unmanned vehicle system are generated is different, and the requirements for data transmission are also different.
  • the data generated on the vehicle-mounted sensor is only generated during the driving of the unmanned vehicle, and has a direct impact on the process of problem analysis and automatic driving, and has high real-time performance.
  • the map navigation package, application software basic data, etc., applications, offline map data do not affect the safety of unmanned vehicles, and have relatively low requirements for real-time data.
  • Data transmission can be carried out during idle time such as unmanned vehicle charging. Therefore, unmanned vehicles divide data identification into emergency data identification and map crowdsourced data identification; among them, emergency data identification corresponds to data that requires high real-time performance and is used for problem analysis and algorithm improvement;
  • the packet data identification corresponds to data with low real-time requirements, large data volume, and complex processing logic.
  • this embodiment does not limit the content of the data identification, and those skilled in the art can increase or decrease the content of the data identification according to actual conditions.
  • the unmanned vehicle determines the preprocessing method of the initial data according to the data identification of the initial data; if the data identification of the initial data is an emergency data identification, the initial data is subjected to key data extraction and compression processing to obtain the corresponding Target data; if the data identifier of the initial data is a map crowdsourced data identifier, the initial data is subjected to mapping preprocessing to obtain the corresponding target data.
  • a real-time transmission method is adopted for the data identified by the data identification of the initial data as the emergency data identification. Therefore, factors such as the data transmission speed and data transmission bandwidth of the unmanned vehicle need to be considered, and the initial data can be extracted and compressed to obtain the corresponding target data.
  • a transmission method with low real-time requirements is adopted, and data can be transmitted when the unmanned vehicle is idle. Therefore, this part of the data is pre-processed, pre-compressed, etc. to obtain the corresponding target data
  • S103 Determine a transmission mode of the target data according to the priority of the initial data.
  • the transmission mode of the target data is real-time transmission
  • real-time transmission means that the generated target data is real-time during the driving process of the unmanned vehicle Send to the cloud server
  • the transmission method of the target data is determined to be non-real-time transmission
  • non-real-time transmission means that when the unmanned vehicle is in the charging state, the preset time The target data generated in the segment is sent to the cloud server.
  • the priority of the initial data is the first priority, and it is transmitted to the cloud server in real time through 4G network, over-the-air technology (Over the Air, OTA) and other methods.
  • Over the Air is a technology for remotely managing card data and applications through the air interface of mobile communication.
  • the air interface can adopt wireless application communication protocol (Wireless Application Protocol, WAP), general packet radio service technology (General Packet Radio Service, GPRS), short message technology.
  • WAP Wireless Application Protocol
  • GPRS General Packet Radio Service
  • the application of OTA technology enables mobile communications not only to provide voice and data services, but also to provide new service downloads.
  • the priority of the initial data is the first priority, and the data can be sent to the cloud server through 4G or WiFi during idle periods such as when the unmanned vehicle is in a charging state.
  • the processed target data is sent to the cloud server to realize differentiated transmission of unmanned vehicle data, reduce the amount of data storage of unmanned vehicles and the amount of data sent to the cloud server, and save network resources , Improve the efficiency of data transmission.
  • the priority of the initial data is determined according to the data identification of the initial data; the initial data is preprocessed to obtain the target data; the transmission mode of the target data is determined according to the priority of the initial data; and the target data is determined according to the transmission mode.
  • the data is sent to the cloud server.
  • Fig. 3 is a flowchart of the unmanned vehicle data transmission method provided in the second embodiment of the application. As shown in Fig. 3, the method in this embodiment may include:
  • the data identifier of the unmanned vehicle can be defined, and the corresponding relationship between the data identifier and the priority of data transmission and the data transmission mode can be established.
  • unmanned vehicles there are a large number of data collection devices on unmanned vehicles, such as video image collection devices, radar ranging devices, positioning devices, somatosensory devices, and so on. During the driving process of the unmanned vehicle, these data collection devices will collect a large amount of data in real time. At the same time, there are also many offline data packages on the unmanned vehicle, such as high-precision map navigation packages and application software basic data packages. The time when these data in the unmanned vehicle system are generated is different, and the requirements for data transmission are also different.
  • the data generated on the vehicle-mounted sensor is only generated during the driving of the unmanned vehicle, and has a direct impact on the process of problem analysis, automatic driving, etc., with high real-time performance.
  • the map navigation package, application software basic data, etc., applications, offline map data do not affect the safety of unmanned vehicles, and have relatively low requirements for real-time data.
  • Data transmission can be carried out during idle time such as unmanned vehicle charging. Therefore, unmanned vehicles divide data identification into emergency data identification and map crowdsourced data identification; among them, emergency data identification corresponds to data that requires high real-time performance and is used for problem analysis and algorithm improvement;
  • the packet data identification corresponds to data with low real-time requirements, large data volume, and complex processing logic.
  • the emergency data identifier corresponds to the first priority and uses real-time transmission; while the map crowdsourced data identifier corresponds to the second priority and uses non-real-time transmission.
  • this embodiment does not limit the specific type of emergency data, and the user can mark the data as emergency data or ordinary data according to actual conditions.
  • ordinary data can also be uniformly transmitted during idle periods such as unmanned vehicle charging.
  • S202 Determine the priority of the initial data according to the data identifier of the initial data.
  • S204 Determine a transmission mode of the target data according to the priority of the initial data.
  • S205 Send the target data to the cloud server according to the transmission mode.
  • step S202 to step S205 please refer to the relevant description in step S101 to step S104 in the method shown in FIG. 2, and will not be repeated here.
  • the priority of the initial data is determined according to the data identification of the initial data; the initial data is preprocessed to obtain the target data; the transmission mode of the target data is determined according to the priority of the initial data; and the target data is determined according to the transmission mode.
  • the data is sent to the cloud server.
  • this implementation can also define the correspondence between the data identifier and the priority, and the transmission mode of data with different priorities. In this way, the basic data definition for differentiated data transmission can be realized, and the data transmission efficiency can be improved.
  • FIG. 4 is a schematic structural diagram of an unmanned vehicle data transmission device provided in Embodiment 3 of this application. As shown in FIG. 4, the unmanned vehicle data transmission device of this embodiment may include:
  • the first determining module 31 is configured to determine the priority of the initial data according to the data identifier of the initial data
  • the preprocessing module 32 is used to preprocess the initial data to obtain target data
  • the second determining module 33 is configured to determine the transmission mode of the target data according to the priority of the initial data
  • the transmission module 34 is used to send the target data to the cloud server according to the transmission mode.
  • the first determining module 31 is specifically used for:
  • the priority of the initial data is the first priority
  • the priority of the initial data is the second priority; wherein the first priority is higher than the second priority.
  • the preprocessing module 32 is specifically used for:
  • the initial data is subjected to key data extraction and compression processing to obtain the corresponding target data;
  • the initial data is subjected to mapping preprocessing to obtain the corresponding target data.
  • the second determining module 33 is specifically used for:
  • the transmission method of the target data is determined to be real-time transmission; real-time transmission means that the generated target data is sent to the cloud server in real time during the driving of the unmanned vehicle;
  • non-real-time transmission means that when the unmanned vehicle is in the charging state, the target generated within the preset time period The data is sent to the cloud server.
  • the unmanned vehicle data transmission device of this embodiment can execute the technical solution in the method shown in FIG. 2.
  • the specific implementation process and technical principle please refer to the related description in the method shown in FIG. 2, which will not be repeated here.
  • the priority of the initial data is determined according to the data identification of the initial data; the initial data is preprocessed to obtain the target data; the transmission mode of the target data is determined according to the priority of the initial data; and the target data is determined according to the transmission mode.
  • the data is sent to the cloud server.
  • FIG. 5 is a schematic structural diagram of an unmanned vehicle data transmission device provided by Embodiment 4 of this application.
  • the human-vehicle data transmission device of this embodiment based on the device shown in FIG. 4, may further include:
  • the obtaining module 35 is used to obtain the corresponding relationship between the data identifier and the priority, and the transmission mode of different priority data.
  • the unmanned vehicle data transmission device of this embodiment can execute the technical solutions in the methods shown in FIG. 2 and FIG. 3.
  • the priority of the initial data is determined according to the data identification of the initial data; the initial data is preprocessed to obtain the target data; the transmission mode of the target data is determined according to the priority of the initial data; and the target data is determined according to the transmission mode.
  • the data is sent to the cloud server.
  • this implementation can also define the correspondence between the data identifier and the priority, and the transmission mode of data with different priorities. In this way, the basic data definition for differentiated data transmission can be realized, and the data transmission efficiency can be improved.
  • FIG. 6 is a schematic structural diagram of an unmanned vehicle data transmission system provided by Embodiment 5 of the application.
  • the unmanned vehicle data transmission system 40 of this embodiment may include: a processor 41 and a memory 42.
  • the memory 42 is used to store programs; the memory 42 may include volatile memory (English: volatile memory), such as random access memory (English: random-access memory, abbreviation: RAM), such as static random access memory (English: volatile memory) : Static random-access memory, abbreviation: SRAM), double data rate synchronous dynamic random access memory (English: Double Data Rate Synchronous Dynamic Access Memory, abbreviation: DDR SDRAM), etc.; memory can also include non-volatile memory (English: non-volatile memory), such as flash memory (English: flash memory).
  • the memory 42 is used to store computer programs (such as application programs and functional modules that implement the above methods), computer instructions, etc., and the above computer programs, computer instructions, etc. may be partitioned and stored in one or more memories 42.
  • the aforementioned computer programs, computer instructions, data, etc. can be called by the processor 41.
  • the above-mentioned computer programs, computer instructions, etc. may be partitioned and stored in one or more memories 42.
  • the aforementioned computer programs, computer instructions, data, etc. can be called by the processor 41.
  • the processor 41 is configured to execute a computer program stored in the memory 42 to implement each step in the method involved in the foregoing embodiment.
  • the processor 41 and the memory 42 may be independent structures, or may be an integrated structure integrated together. When the processor 41 and the memory 42 are independent structures, the memory 42 and the processor 41 may be coupled and connected through the bus 43.
  • the priority of the initial data is determined according to the data identifier of the initial data; the initial data is preprocessed to obtain the target data; the transmission mode of the target data is determined according to the priority of the initial data; and the target data is determined according to the transmission mode.
  • the data is sent to the cloud server. In this way, differentiated transmission of data can be realized, the amount of data storage of unmanned vehicles and the amount of data sent to the cloud server can be reduced, network resources can be saved, and data transmission efficiency can be improved.
  • the server of this embodiment can execute the technical solutions in the methods shown in FIG. 2 and FIG. 3, and for the specific implementation process and technical principles, please refer to the related descriptions in the methods shown in FIG. 2 and FIG. 3, which will not be repeated here.
  • an embodiment of the present application also provides a computer-readable storage medium.
  • the computer-readable storage medium stores computer-executable instructions.
  • the user equipment executes the aforementioned various possibilities. Methods.
  • the priority of the initial data is determined according to the data identification of the initial data; the initial data is preprocessed to obtain the target data; the transmission mode of the target data is determined according to the priority of the initial data; and the target data is determined according to the transmission mode.
  • the data is sent to the cloud server.
  • the computer-readable medium includes a computer storage medium and a communication medium, where the communication medium includes any medium that facilitates the transfer of a computer program from one place to another.
  • the storage medium may be any available medium that can be accessed by a general-purpose or special-purpose computer.
  • An exemplary storage medium is coupled to the processor so that the processor can read information from the storage medium and can write information to the storage medium.
  • the storage medium may also be a component of the processor.
  • the processor and the storage medium may be located in the ASIC.
  • the ASIC may be located in the user equipment.
  • the processor and the storage medium may also exist as discrete components in the communication device.
  • the program product includes a computer program.
  • the computer program is stored in a readable storage medium.
  • At least one processor of the server can read the computer program from the readable storage medium.
  • At least one processor executes the computer program so that The server implements any unmanned vehicle data transmission method described above in the embodiments of the present application.

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Abstract

本申请提供一种无人车数据传输方法、装置、系统及存储介质,该方法,包括:根据初始数据的数据标识,确定所述初始数据的优先级;对所述初始数据进行预处理,得到目标数据;根据所述初始数据的优先级,确定所述目标数据的传输方式;按照所述传输方式,将所述目标数据发送给云端服务器。从而可以实现对数据的差别化传输,减少无人车的数据存储量以及向云端服务器发送的数据量,节约网络资源,提高数据的传输效率。

Description

无人车数据传输方法、装置、系统及存储介质
本申请要求于2019年01月15日提交中国专利局、申请号为2019100363690、申请名称为“无人车数据传输方法、装置、系统及存储介质的中国专利申请的优先权,其全部内容通过引用结合在本申请中。
技术领域
本申请涉及汽车技术领域,尤其涉及一种无人车数据传输方法、装置、系统及存储介质。
背景技术
随着汽车技术的发展,无人车开始得到应用,但是无人车在行驶过程中会采集大量的数据,因此需要对无人车行驶过程中所生成的数据进行存储和管理。
目前,无人车将行驶过程中生成的数据进行不断的存储,然后再实时地发送给云端服务器。
但是,这种数据处理方式,会使得采集的数据占用无人车的大量存储空间,并长期占用无人车的网络资源,带来网络拥堵等问题。
发明内容
本申请提供一种无人车数据传输方法、装置、系统及存储介质,可以实现对数据的差别化传输,减少无人车的数据存储量以及向云端服务器发送的数据量,节约网络资源,提高数据的传输效率。
第一方面,本申请实施例提供一种无人车数据传输方法,包括:
根据初始数据的数据标识,确定所述初始数据的优先级;
对所述初始数据进行预处理,得到目标数据;
根据所述初始数据的优先级,确定所述目标数据的传输方式;
按照所述传输方式,将所述目标数据发送给云端服务器。
本实施例中,可以实现对数据的差别化传输,减少无人车的数据存储量以及向云端服务器发送的数据量,节约网络资源,提高数据的传输效率。
在一种可能的设计中,在根据初始数据的数据标识,确定所述初始数据的优先级之前,还包括:
获取数据标识与优先级之间的对应关系,以及不同优先级数据的传输方式。
本实施例中,可以建立数据标识与优先级之间的对应关系,不同的优先级对应不同的数据传输方式,从而可以实现依据优先级进行差别化的数据传输。
在一种可能的设计中,根据初始数据的数据标识,确定所述初始数据的优先级,包括:
若所述初始数据的数据标识为紧急事件数据标识,则所述初始数据的优先级为第一优先级;
若所述初始数据的数据标识为地图众包数据标识,则所述初始数据的优先级为第二优先级;其中,所述第一优先级高于所述第二优先级。
本实施例中,可以根据紧急事件和地图众包数据对数据进行划分,将紧急事件数据的优先级设置为第一优先级,将地图众包数据作为第二优先级,从而在数据传输时,可以优先传输紧急事件数据,保证紧急事件传输的实时性,保证驾驶安全。
在一种可能的设计中,对所述初始数据进行预处理,得到目标数据,包括:
根据所述初始数据的数据标识,确定所述初始数据的预处理方式;
若所述初始数据的数据标识为紧急事件数据标识,则将所述初始数据进行关键数据提取和压缩处理,得到对应的目标数据;
若所述初始数据的数据标识为地图众包数据标识,则将所述初始数据进行制图预处理,得到对应的目标数据。
本实施例中,通过对不同的数据进行不同的预处理,从而方便服务器对接收到的数据做进一步的处理,提高服务器侧的数据处理效率。
在一种可能的设计中,根据所述初始数据的优先级,确定所述目标数据的传输方式,包括:
若所述初始数据的优先级为第一优先级,则确定所述目标数据的传输方式为实时性传输;所述实时性传输是指,在无人车的行驶过程中,将生成的所述目标数据实时发送给所述云端服务器;
若所述初始数据的优先级为第二优先级,则确定所述目标数据的传输方式为非实时性传输;所述非实时性传输是指,在无人车处于充电状态时,将预设时间段内生成的所述目标数据发送给所述云端服务器。
本实施例中,通过设置第一优先级的传输方式为实时传输,第二优先级的传输方式为非实时性传输,从而可以保证高优先级数据的实时传输,充分利用了网络资源,保证数据的传输效率。
第二方面,本申请实施例提供一种无人车数据传输装置,包括:
第一确定模块,用于根据初始数据的数据标识,确定所述初始数据的优先级;
预处理模块,用于对所述初始数据进行预处理,得到目标数据;
第二确定模块,用于根据所述初始数据的优先级,确定所述目标数据的传输方式;
传输模块,用于按照所述传输方式,将所述目标数据发送给云端服务器。
在一种可能的设计中,还包括:
获取模块,用于获取数据标识与优先级之间的对应关系,以及不同优先级数据的传输方式。
在一种可能的设计中,所述第一确定模块,具体用于:
若所述初始数据的数据标识为紧急事件数据标识,则所述初始数据的优先级为第一优先级;
若所述初始数据的数据标识为地图众包数据标识,则所述初始数据的优先级为第二优先级;其中,所述第一优先级高于所述第二优先级。
在一种可能的设计中,所述预处理模块,具体用于:
根据所述初始数据的数据标识,确定所述初始数据的预处理方式;
若所述初始数据的数据标识为紧急事件数据标识,则将所述初始数据进行关键数据提取和压缩处理,得到对应的目标数据;
若所述初始数据的数据标识为地图众包数据标识,则将所述初始数据进行制图预处理,得到对应的目标数据。
在一种可能的设计中,所述第二确定模块,具体用于:
若所述初始数据的优先级为第一优先级,则确定所述目标数据的传输方式为实时性传输;所述实时性传输是指,在无人车的行驶过程中,将生成的所述目标数据实时发送给所述云端服务器;
若所述初始数据的优先级为第二优先级,则确定所述目标数据的传输方式为非实时性传输;所述非实时性传输是指,在无人车处于充电状态时,将预设时间段内生成的所述目标数据发送给所述云端服务器。
第三方面,本申请实施例提供一种无人车数据传输系统,包括:存储器和处理器,存储器中存储有所述处理器的可执行指令;其中,所述处理器配置为经由执行所述可执行指令来执行第一方面中任一项所述的无人车数据传输方法。
第四方面,本申请实施例提供一种计算机可读存储介质,其上存储有计算机程序,该程序被处理器执行时实现第一方面中任一项所述的无人车数据传输方法。
第五方面,本申请实施例提供一种程序产品,所述程序产品包括:计算机程序,所述计算机程序存储在可读存储介质中,服务器的至少一个处理器可以从所述可读存储介质读取所述计算机程序,所述至少一个处理器执行所述计算机程序使得服务器执行第一方面中任一所述的无人车数据传输方法。
本申请提供一种无人车数据传输方法、装置、系统及存储介质,通过根据初始数据的数据标识,确定所述初始数据的优先级;对所述初始数据进行预处理,得到目标数据;根据所述初始数据的优先级,确定所述目标数据的传输方式;按照所述传输方式,将所述目标数据发送给云端服务器。从而可以实现对数据的差别化传输,减少无人车的数据存储量以及向云端服务器发送的数据量,节约网络资源,提高数据的传输效率。
附图说明
图1为本申请一应用场景的原理示意图;
图2为本申请实施例一提供的无人车数据传输方法的流程图;
图3为本申请实施例二提供的无人车数据传输方法的流程图;
图4为本申请实施例三提供的无人车数据传输装置的结构示意图;
图5为本申请实施例四提供的无人车数据传输装置的结构示意图;
图6为本申请实施例五提供的无人车数据传输系统的结构示意图。
具体实施方式
为使本申请实施例的目的、技术方案和优点更加清楚,下面将结合本申请实施例中的附图,对本申请实施例中的技术方案进行清楚、完整地描述,显然,所描述的实施例是本申请一部分实施例,而不是全部的实施例。基于本申请中的实施例,本领域普通技术人员在没有作出创造性劳动前提下所获得的所有其他实施例,都属于本申请保护的范围。
本申请的说明书和权利要求书及上述附图中的术语“第一”、“第二”、“第三”、“第四”等(如果存在)是用于区别类似的对象,而不必用于描述特定的顺序或先后次序。应该理解这样使用的数据在适当情况下可以互换,以便这里描述的本申请的实施例例如能够以除了在这里图示或描述的那些以外的顺序实施。此外,术语“包括”和“具有”以及他们的任何变形,意图在于覆盖不排他的包含,例如,包含了一系列步骤或单元的过程、方法、系统、产品或设备不必限于清楚地列出的那些步骤或单元, 而是可包括没有清楚地列出的或对于这些过程、方法、产品或设备固有的其它步骤或单元。
下面以具体地实施例对本申请的技术方案进行详细说明。下面这几个具体的实施例可以相互结合,对于相同或相似的概念或过程可能在某些实施例不再赘述。
无人驾驶车辆也被称为无人车,无人驾驶车辆是电子计算机等最新科技成果与现代汽车工业相结合的产物,通常具有自动驾驶,自动变速,自动识别道路的功能。无人车上有大量的数据采集装置,如视频图像采集装置、雷达测距装置、定位装置、体感装置等。无人车在行驶过程中,这些数据采集装置会实时采集大量的数据,并进行不断的存储,然后发送给云端服务器;或者,在无人车行驶结束之后,将行驶过程中的数据进行存储,然后一起发送给云端服务器。
但是,这种数据处理方式,会使得采集的数据占用无人车的大量存储空间,影响数据传输效率,带来网络拥堵等问题。同时,一些实时性要求高的数据只在无人车行驶过程中产生,而其他很多数据为实时性要求很低,可以在无人车充电等空闲时间,进行数据传输,合理利用资源。
针对上述技术问题,本申请提供一种方法,可以设置条件信息,可以实现对数据的差别化传输,减少无人车的数据存储量以及向云端服务器发送的数据量,节约网络资源,提高数据的传输效率。
图1为本申请一应用场景的原理示意图,如图1所示,云端服务器10与无人车20之间涉及到频繁的数据交互。而不同的数据,对于数据传输方式、实时性要求不同,可以对数据的差别化传输,从而提高数据的传输效率。首先,无人车10根据初始数据的数据标识,确定初始数据的优先级。然后,无人车对初始数据进行预处理,得到目标数据,并且根据初始数据的优先级,确定目标数据的传输方式。最后,无人车10按照传输方式,将目标数据发送给云端服务器10。
需要说明的是,云端服务器10可以同时与多个无人车20进行数据传输。可选地,云端服务器10与无人车20之间的通信方式还可以是除去OTA以外的无线传输方式,其实现原理与上述方法相类似,此处不再赘述。
应用上述方法可以实现对数据的差别化传输,减少无人车的数据存储量以及向云端服务器发送的数据量,节约网络资源,提高数据的传输效率。
下面以具体地实施例对本申请的技术方案以及本申请的技术方案如何解决上述技术问题进行详细说明。下面这几个具体的实施例可以相互结合,对于相同或相似的概念或过程可能在某些实施例中不再赘述。下面将结合附图,对本申请的实施例进行描 述。
图2为本申请实施例一提供的无人车数据传输方法的流程图,如图2所示,本实施例中的方法可以包括:
S101、根据初始数据的数据标识,确定初始数据的优先级。
本实施例中,无人车的车机系统对初始数据的数据标识进行判断,若初始数据的数据标识为紧急事件数据标识,则初始数据的优先级为第一优先级;若初始数据的数据标识为地图众包数据标识,则初始数据的优先级为第二优先级;其中,第一优先级高于第二优先级。
具体地,无人车上有大量的数据采集装置,如视频图像采集装置、雷达测距装置、定位装置、体感装置等。无人车在行驶过程中,这些数据采集装置会实时采集大量的数据,同时无人车上也有很多离线数据包,如高精度地图导航包,应用软件基础数据包等。无人车车机系统中的这些数据产生的时间不同,对数据传输的要求也不同。例如,车载传感器上产生的数据,只在无人车行驶过程中产生,且对问题分析、自动驾驶等过程有着直接的影响,实时性高。而地图导航包、应用软件基础数据等,应用程序、离线地图的数据不影响无人车的安全,对数据实时性要求比较低,可以在无人车充电等空闲时间进行数据传输。因此,无人车将数据标识分为紧急事件数据标识和地图众包数据标识;其中,紧急事件数据标识对应的为实时性要求较高、且用于进行问题分析和算法改进的数据;地图众包数据标识对应的为实时性要求较低、数据量较大、处理逻辑复杂的数据。
需要说明的是,本实施例不限定数据标识的内容,本领域的技术人员可以根据实际情况增加或者减少数据标识的内容。
S102、对初始数据进行预处理,得到目标数据。
本实施例中,无人车根据初始数据的数据标识,确定初始数据的预处理方式;若初始数据的数据标识为紧急事件数据标识,则将初始数据进行关键数据提取和压缩处理,得到对应的目标数据;若初始数据的数据标识为地图众包数据标识,则将初始数据进行制图预处理,得到对应的目标数据。
具体地,对于初始数据的数据标识为紧急事件数据标识的数据,采用实时传输的方式。因此,需要考虑无人车的数据传输速度、数据传输带宽等因素,可以对初始数据进行关键数据提取和压缩处理,得到对应的目标数据。而对于初始数据的数据标识为地图众包数据标识的数据,采用实时性要求不高的传输方式,可以在无人车空闲时进行数据传输。因此,则对这部分数据进行制图预处理、预压缩处理等,得到对应的 目标数据
S103、根据初始数据的优先级,确定目标数据的传输方式。
本实施例中,若初始数据的优先级为第一优先级,则确定目标数据的传输方式为实时性传输;实时性传输是指,在无人车的行驶过程中,将生成的目标数据实时发送给云端服务器;若初始数据的优先级为第二优先级,则确定目标数据的传输方式为非实时性传输;非实时性传输是指,在无人车处于充电状态时,将预设时间段内生成的目标数据发送给云端服务器。
具体地,对于初始数据的优先级为第一优先级,则通过4G网络、空中下载技术(Over the Air,简称OTA)等方式进行实时传输至云端服务器。空中下载技术(Over the Air,简称OTA),是通过移动通信的空中接口对卡数据及应用进行远程管理的技术。
空中接口可以采用无线应用通讯协议(Wireless Application Protocol,WAP)、通用分组无线服务技术(General Packet Radio Service,GPRS)、短消息技术。OTA技术的应用,使得移动通信不仅可以提供语音和数据服务,而且还能提供新业务下载。对于初始数据的优先级为第一优先级,则可以在无人车处于充电状态等空闲时段,通过4G或WiFi等方式将数据发送给云端服务器。
S104、按照传输方式,将目标数据发送给云端服务器。
本实施例中,根据传输方式,将处理后的目标数据发送给云端服务器,实现无人车数据的差别化传输,减少无人车的数据存储量以及向云端服务器发送的数据量,节约网络资源,提高数据的传输效率。
本实施例,通过根据初始数据的数据标识,确定初始数据的优先级;对初始数据进行预处理,得到目标数据;根据初始数据的优先级,确定目标数据的传输方式;按照传输方式,将目标数据发送给云端服务器。从而可以实现对数据的差别化传输,减少无人车的数据存储量以及向云端服务器发送的数据量,节约网络资源,提高数据的传输效率。
图3为本申请实施例二提供的无人车数据传输方法的流程图,如图3所示,本实施例中的方法可以包括:
S201、获取数据标识与优先级之间的对应关系,以及不同优先级数据的传输方式。
本实施例,可以对无人车的数据标识进行定义,建立数据标识与数据传输的优先级、数据传输方式之间的对应关系。
具体地,具体地,无人车上有大量的数据采集装置,如视频图像采集装置、雷达 测距装置、定位装置、体感装置等。无人车在行驶过程中,这些数据采集装置会实时采集大量的数据,同时无人车上也有很多离线数据包,如高精度地图导航包,应用软件基础数据包等。无人车车机系统中的这些数据产生的时间不同,对数据传输的要求也不同。
具体地,车载传感器上产生的数据,只在无人车行驶过程中产生,且对问题分析、自动驾驶等过程有着直接的影响,实时性高。而地图导航包、应用软件基础数据等,应用程序、离线地图的数据不影响无人车的安全,对数据实时性要求比较低,可以在无人车充电等空闲时间进行数据传输。因此,无人车将数据标识分为紧急事件数据标识和地图众包数据标识;其中,紧急事件数据标识对应的为实时性要求较高、且用于进行问题分析和算法改进的数据;地图众包数据标识对应的为实时性要求较低、数据量较大、处理逻辑复杂的数据。紧急事件数据标识对应的为第一优先级,采用实时性传输;而地图众包数据标识对应的为第二优先级,采用非实时性传输。
需要说明的是,本实施例不限定紧急事件数据的具体类型,用户可以根据实际情况将数据标记为紧急数据或者普通数据。除了地图众包数据之外,普通数据也可以在无人车充电等空闲时段进行统一传输。
S202、根据初始数据的数据标识,确定初始数据的优先级。
S203、对初始数据进行预处理,得到目标数据。
S204、根据初始数据的优先级,确定目标数据的传输方式。
S205、按照传输方式,将目标数据发送给云端服务器。
本实施例中,步骤S202~步骤S205的具体实现过程和技术原理请参见图2所示的方法中步骤S101~步骤S104中的相关描述,此处不再赘述。
本实施例,通过根据初始数据的数据标识,确定初始数据的优先级;对初始数据进行预处理,得到目标数据;根据初始数据的优先级,确定目标数据的传输方式;按照传输方式,将目标数据发送给云端服务器。从而可以实现对数据的差别化传输,减少无人车的数据存储量以及向云端服务器发送的数据量,节约网络资源,提高数据的传输效率。
另外,本实施还可以定义数据标识与优先级之间的对应关系,以及不同优先级数据的传输方式。从而可以实现数据的差别化传输的基础数据定义,提高数据的传输效率。
图4为本申请实施例三提供的无人车数据传输装置的结构示意图,如图4所示,本实施例的无人车数据传输装置可以包括:
第一确定模块31,用于根据初始数据的数据标识,确定初始数据的优先级;
预处理模块32,用于对初始数据进行预处理,得到目标数据;
第二确定模块33,用于根据初始数据的优先级,确定目标数据的传输方式;
传输模块34,用于按照传输方式,将目标数据发送给云端服务器。
在一种可能的设计中,第一确定模块31,具体用于:
若初始数据的数据标识为紧急事件数据标识,则初始数据的优先级为第一优先级;
若初始数据的数据标识为地图众包数据标识,则初始数据的优先级为第二优先级;其中,第一优先级高于第二优先级。
在一种可能的设计中,预处理模块32,具体用于:
根据初始数据的数据标识,确定初始数据的预处理方式;
若初始数据的数据标识为紧急事件数据标识,则将初始数据进行关键数据提取和压缩处理,得到对应的目标数据;
若初始数据的数据标识为地图众包数据标识,则将初始数据进行制图预处理,得到对应的目标数据。
在一种可能的设计中,第二确定模块33,具体用于:
若初始数据的优先级为第一优先级,则确定目标数据的传输方式为实时性传输;实时性传输是指,在无人车的行驶过程中,将生成的目标数据实时发送给云端服务器;
若初始数据的优先级为第二优先级,则确定目标数据的传输方式为非实时性传输;非实时性传输是指,在无人车处于充电状态时,将预设时间段内生成的目标数据发送给云端服务器。
本实施例的无人车数据传输装置,可以执行图2所示方法中的技术方案,其具体实现过程和技术原理参见图2所示方法中的相关描述,此处不再赘述。
本实施例,通过根据初始数据的数据标识,确定初始数据的优先级;对初始数据进行预处理,得到目标数据;根据初始数据的优先级,确定目标数据的传输方式;按照传输方式,将目标数据发送给云端服务器。从而可以实现对数据的差别化传输,减少无人车的数据存储量以及向云端服务器发送的数据量,节约网络资源,提高数据的传输效率。
图5为本申请实施例四提供的无人车数据传输装置的结构示意图,如图5所示,本实施例的人车数据传输装置在图4所示装置的基础上,还可以包括:
获取模块35,用于获取数据标识与优先级之间的对应关系,以及不同优先级数据的传输方式。
本实施例的无人车数据传输装置,可以执行图2、图3所示方法中的技术方案,其具体实现过程和技术原理参见图2、图3所示方法中的相关描述,此处不再赘述。
本实施例,通过根据初始数据的数据标识,确定初始数据的优先级;对初始数据进行预处理,得到目标数据;根据初始数据的优先级,确定目标数据的传输方式;按照传输方式,将目标数据发送给云端服务器。从而可以实现对数据的差别化传输,减少无人车的数据存储量以及向云端服务器发送的数据量,节约网络资源,提高数据的传输效率。
另外,本实施还可以定义数据标识与优先级之间的对应关系,以及不同优先级数据的传输方式。从而可以实现数据的差别化传输的基础数据定义,提高数据的传输效率。
图6为本申请实施例五提供的无人车数据传输系统的结构示意图,如图6所示,本实施例的无人车数据传输系统40可以包括:处理器41和存储器42。
存储器42,用于存储程序;存储器42,可以包括易失性存储器(英文:volatile memory),例如随机存取存储器(英文:random-access memory,缩写:RAM),如静态随机存取存储器(英文:static random-access memory,缩写:SRAM),双倍数据率同步动态随机存取存储器(英文:Double Data Rate Synchronous Dynamic Random Access Memory,缩写:DDR SDRAM)等;存储器也可以包括非易失性存储器(英文:non-volatile memory),例如快闪存储器(英文:flash memory)。存储器42用于存储计算机程序(如实现上述方法的应用程序、功能模块等)、计算机指令等,上述的计算机程序、计算机指令等可以分区存储在一个或多个存储器42中。并且上述的计算机程序、计算机指令、数据等可以被处理器41调用。
上述的计算机程序、计算机指令等可以分区存储在一个或多个存储器42中。并且上述的计算机程序、计算机指令、数据等可以被处理器41调用。
处理器41,用于执行存储器42存储的计算机程序,以实现上述实施例涉及的方法中的各个步骤。
具体可以参见前面方法实施例中的相关描述。
处理器41和存储器42可以是独立结构,也可以是集成在一起的集成结构。当处理器41和存储器42是独立结构时,存储器42、处理器41可以通过总线43耦合连接。
本实施例,通过根据初始数据的数据标识,确定初始数据的优先级;对初始数据进行预处理,得到目标数据;根据初始数据的优先级,确定目标数据的传输方式;按照传输方式,将目标数据发送给云端服务器。从而可以实现对数据的差别化传输,减 少无人车的数据存储量以及向云端服务器发送的数据量,节约网络资源,提高数据的传输效率。
本实施例的服务器可以执行图2、图3所示方法中的技术方案,其具体实现过程和技术原理参见图2、图3所示方法中的相关描述,此处不再赘述。
此外,本申请实施例还提供一种计算机可读存储介质,计算机可读存储介质中存储有计算机执行指令,当用户设备的至少一个处理器执行该计算机执行指令时,用户设备执行上述各种可能的方法。
本实施例,通过根据初始数据的数据标识,确定初始数据的优先级;对初始数据进行预处理,得到目标数据;根据初始数据的优先级,确定目标数据的传输方式;按照传输方式,将目标数据发送给云端服务器。从而可以实现对数据的差别化传输,减少无人车的数据存储量以及向云端服务器发送的数据量,节约网络资源,提高数据的传输效率。
其中,计算机可读介质包括计算机存储介质和通信介质,其中通信介质包括便于从一个地方向另一个地方传送计算机程序的任何介质。存储介质可以是通用或专用计算机能够存取的任何可用介质。一种示例性的存储介质耦合至处理器,从而使处理器能够从该存储介质读取信息,且可向该存储介质写入信息。当然,存储介质也可以是处理器的组成部分。处理器和存储介质可以位于ASIC中。另外,该ASIC可以位于用户设备中。当然,处理器和存储介质也可以作为分立组件存在于通信设备中。
本申请还提供一种程序产品,程序产品包括计算机程序,计算机程序存储在可读存储介质中,服务器的至少一个处理器可以从可读存储介质读取计算机程序,至少一个处理器执行计算机程序使得服务器实施上述本申请实施例任一的无人车数据传输方法。
本领域普通技术人员可以理解:实现上述各方法实施例的全部或部分步骤可以通过程序指令相关的硬件来完成。前述的程序可以存储于一计算机可读取存储介质中。该程序在执行时,执行包括上述各方法实施例的步骤;而前述的存储介质包括:ROM、RAM、磁碟或者光盘等各种可以存储程序代码的介质。
最后应说明的是:以上各实施例仅用以说明本申请的技术方案,而非对其限制;尽管参照前述各实施例对本申请进行了详细的说明,本领域的普通技术人员应当理解:其依然可以对前述各实施例所记载的技术方案进行修改,或对其中部分或全部技术特征进行等同替换;而这些修改或替换,并不使相应技术方案的本质脱离本申请各实施例技术方案的范围。

Claims (10)

  1. 一种无人车数据传输方法,其特征在于,包括:
    根据初始数据的数据标识,确定所述初始数据的优先级;
    对所述初始数据进行预处理,得到目标数据;
    根据所述初始数据的优先级,确定所述目标数据的传输方式;
    按照所述传输方式,将所述目标数据发送给云端服务器。
  2. 根据权利要求1所述的方法,其特征在于,在根据初始数据的数据标识,确定所述初始数据的优先级之前,还包括:
    获取数据标识与优先级之间的对应关系,以及不同优先级数据的传输方式。
  3. 根据权利要求1所述的方法,其特征在于,根据初始数据的数据标识,确定所述初始数据的优先级,包括:
    若所述初始数据的数据标识为紧急事件数据标识,则所述初始数据的优先级为第一优先级;
    若所述初始数据的数据标识为地图众包数据标识,则所述初始数据的优先级为第二优先级;其中,所述第一优先级高于所述第二优先级。
  4. 根据权利要求1所述的方法,其特征在于,对所述初始数据进行预处理,得到目标数据,包括:
    根据所述初始数据的数据标识,确定所述初始数据的预处理方式;
    若所述初始数据的数据标识为紧急事件数据标识,则将所述初始数据进行关键数据提取和压缩处理,得到对应的目标数据;
    若所述初始数据的数据标识为地图众包数据标识,则将所述初始数据进行制图预处理,得到对应的目标数据。
  5. 根据权利要求1-4中任一项所述的方法,其特征在于,根据所述初始数据的优先级,确定所述目标数据的传输方式,包括:
    若所述初始数据的优先级为第一优先级,则确定所述目标数据的传输方式为实时性传输;所述实时性传输是指,在无人车的行驶过程中,将生成的所述目标数据实时发送给所述云端服务器;
    若所述初始数据的优先级为第二优先级,则确定所述目标数据的传输方式为非实时性传输;所述非实时性传输是指,在无人车处于充电状态时,将预设时间段内生成的所述目标数据发送给所述云端服务器。
  6. 一种无人车数据传输装置,其特征在于,包括:
    第一确定模块,用于根据初始数据的数据标识,确定所述初始数据的优先级;
    预处理模块,用于对所述初始数据进行预处理,得到目标数据;
    第二确定模块,用于根据所述初始数据的优先级,确定所述目标数据的传输方式;
    传输模块,用于按照所述传输方式,将所述目标数据发送给云端服务器。
  7. 根据权利要求6所述的装置,其特征在于,还包括:
    获取模块,用于获取数据标识与优先级之间的对应关系,以及不同优先级数据的传输方式。
  8. 根据权利要求6所述的装置,其特征在于,所述第一确定模块,具体用于:
    若所述初始数据的数据标识为紧急事件数据标识,则所述初始数据的优先级为第一优先级;
    若所述初始数据的数据标识为地图众包数据标识,则所述初始数据的优先级为第二优先级;其中,所述第一优先级高于所述第二优先级。
  9. 一种无人车数据传输系统,其特征在于,包括:存储器和处理器,存储器中存储有所述处理器的可执行指令;其中,所述处理器配置为经由执行所述可执行指令来执行权利要求1-6所述的无人车数据传输方法。
  10. 一种计算机可读存储介质,其上存储有计算机程序,其特征在于,该程序被处理器执行时实现权利要求1-6任一项所述的无人车数据传输方法。
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