Method, device and storage medium for determining remote driver of autonomous driving

Abstract

This application provides a method, device, and storage medium for determining an autonomous driving remote driver. The method includes: determining multiple driving paths within a defined area; determining a remote driver and a base station corresponding to each segment of each path; determining the distance between any base station and any remote driver; identifying remote drivers with communication delays less than a set delay as candidate drivers; and determining the remote driver for controlling the autonomous driving of vehicles entering the area from among the candidate drivers based on the number of base stations covered by each candidate driver and the number of base stations continuously passed along each path. This method increases the scenario where multiple vehicles on multiple paths are simultaneously controlled by remote drivers, improves the rationality of remote driver selection, reduces the number of remote driver switching operations, and minimizes resource waste.

Description

Technical Field

[0001] This application relates to communication technology, and more particularly to a method, apparatus, and storage medium for determining an autonomous driving remote drive. Background Technology

[0002] Remote operation technology enables autonomous vehicles to be remotely controlled when necessary. Through remote operation technology, operators can remotely monitor a fleet of autonomous vehicles.

[0003] The most important problem in the field of remote driving is network latency. One existing remote driving system and remote driver switching algorithm focuses on selecting multiple remote drivers that are closest to the autonomous vehicle to find the minimum set of remote driving facilities for a given route so that it can minimize the number of remote driver switching.

[0004] The remote driving system and remote driver switching method are based on a single-vehicle scenario with only one vehicle on a route. In the case of multiple vehicles and multiple routes, the number of switching operations is high, resulting in significant network latency. Summary of the Invention

[0005] This application provides a method, device, and storage medium for determining an autonomous driving remote driver, in order to solve the problem of selecting a remote driver in a multi-path environment.

[0006] In a first aspect, this application provides a method for determining an autonomous driving remote driver, comprising:

[0007] Determine multiple driving routes within a defined area, and identify the remote drivers and base stations corresponding to each segment of each route;

[0008] Determine the distance between any of the base stations and any of the remote drivers;

[0009] The remote driver corresponding to the distance with a communication delay less than or equal to the set delay is identified as a candidate driver;

[0010] Based on the number of base stations within the coverage area of ​​each candidate driver and the number of base stations continuously passed along each path, a remote driver for controlling the autonomous driving of vehicles entering the area is determined from the candidate drivers.

[0011] Secondly, this application provides a device for determining an autonomous driving remote driver, comprising:

[0012] The acquisition module is used to determine multiple driving routes within a set area, and to determine the remote driver and base station corresponding to each segment of each route;

[0013] A determining module is configured to determine the distance between any of the base stations and any of the remote drivers; and to determine the remote drivers corresponding to the distances where the communication delay is less than or equal to a set delay as candidate drivers.

[0014] The control module is used to determine, from the candidate drivers, a remote driver for controlling the autonomous driving of vehicles entering the area, based on the number of base stations within the coverage area of ​​each candidate driver and the number of base stations continuously passed along each path.

[0015] Thirdly, this application provides a device for determining an autonomous driving remote driver, comprising: a processor, and a memory communicatively connected to the processor;

[0016] The memory stores computer-executed instructions;

[0017] The processor executes computer execution instructions stored in the memory to implement the method for determining an autonomous driving remote driver as described in any of the preceding claims.

[0018] Fourthly, this application provides a computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, are used to implement the method for determining an autonomous driving remote driver as described in any of the preceding claims.

[0019] The method, device, and storage medium for determining an autonomous driving remote driver provided in this application determine multiple paths within a set area, identify the remote driver and base station corresponding to each segment of each path, determine the distance between any base station and any remote driver, select candidate drivers with communication delays less than or equal to a set delay, and determine the remote driver for controlling the autonomous driving of vehicles entering the set area based on the candidate drivers and base station information. Since it determines multiple paths within a set area and controls vehicles entering the set area, this application realizes a scenario where multiple vehicles on multiple paths are simultaneously controlled by remote drivers, optimizes the selection of remote drivers, reduces the number of remote driver switching times, and minimizes resource waste. Attached Figure Description

[0020] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0021] Figure 1 A flowchart illustrating an embodiment of the method for determining an autonomous driving remote driver provided in this application;

[0022] Figure 2A flowchart illustrating an embodiment of the method for determining a target driver for an autonomous driving remote driver provided in this application;

[0023] Figure 3 A flowchart illustrating an embodiment of the method for determining an autonomous driving remote driver provided in this application, which involves screening remote drivers and base stations;

[0024] Figure 4 An example diagram illustrating a method for determining an autonomous remote driver according to this application;

[0025] Figure 5 A schematic diagram of a device for determining an autonomous driving remote driver provided in an embodiment of this application;

[0026] Figure 6 This is a schematic diagram of a device for determining an autonomous driving remote driver, provided as an embodiment of this application.

[0027] The accompanying drawings have illustrated specific embodiments of this application, which will be described in more detail below. These drawings and descriptions are not intended to limit the scope of the concept in any way, but rather to illustrate the concept of this application to those skilled in the art through reference to specific embodiments. Detailed Implementation

[0028] Exemplary embodiments will now be described in detail, examples of which are illustrated in the accompanying drawings. When the following description relates to the drawings, unless otherwise indicated, the same numbers in different drawings denote the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with some aspects of this application as detailed in the appended claims.

[0029] First, let me explain the terms used in this application:

[0030] Remote drive: refers to a device that can remotely monitor and control autonomous vehicles by communicating with the vehicle through the control of the nearest base station;

[0031] Base station: refers to a device set up near the road to receive instructions from a remote driver and communicate with vehicles within its coverage area;

[0032] Vehicles: refers to autonomous vehicles that can be controlled by remote drives;

[0033] Euclidean metric: also known as Euclidean distance, is a commonly used definition of distance, referring to the true distance between two points in m-dimensional space, or the natural length of a vector (i.e., the distance from that point to the origin).

[0034] Existing technologies include remote driving systems and remote driver switching algorithms that primarily focus on selecting multiple remote drivers with the shortest distance to the autonomous vehicle. The goal is to find the minimum set of remote driving facilities for a given route, thus minimizing the number of remote driver switches. However, this method is based on a single-vehicle scenario with only one vehicle on a route. In scenarios with multiple vehicles and multiple routes, the number of switches increases, leading to significant network latency.

[0035] To address the aforementioned issues, the method for determining an autonomous driving remote driver provided in this application is for a multi-path scenario where multiple vehicles are simultaneously controlled by a remote driver. It optimizes the selection of the remote driver. The specific technical concept is as follows:

[0036] By determining multiple paths within a defined area, identifying the remote drive and base station corresponding to each segment of each path, determining the distance between any base station and any remote drive, selecting candidate drives with communication delays less than or equal to a set delay, and determining the remote drive used to control the autonomous driving of vehicles entering the defined area based on the candidate drives and base station conditions.

[0037] The technical solution of this application and how the technical solution of this application solves the above-mentioned technical problems are described in detail below with specific embodiments. These specific embodiments can be combined with each other, and the same or similar concepts or processes may not be described again in some embodiments. The embodiments of this application will be described below with reference to the accompanying drawings.

[0038] Figure 1 A flowchart illustrating an embodiment of the method for determining an autonomous driving remote driver provided in this application is shown below. Figure 1 As shown, the entity executing this method can be a control device or management platform that assigns a remote drive to an autonomous vehicle. This device / platform can execute the following steps through hardware, software, or a combination of both. The method includes:

[0039] S101. Determine multiple driving routes within the designated area, and determine the remote driver and base station corresponding to each segment of each route;

[0040] For a given area, which may include multiple vehicles requiring autonomous driving control, each vehicle may have a different travel path within that area. Multiple travel paths from source to destination for these vehicles within the area are determined, each path being further divided into segments. Since remote drivers are limited by their own coverage areas, a single path traveled by a vehicle may typically be controlled by different remote drivers. When a remote driver drives or monitors a vehicle on a particular segment, it declares that it covers that segment. Different remote drivers control different parts of the path, thus identifying the remote drivers corresponding to each segment within each path. Furthermore, since base stations also have their own coverage areas, vehicles will enter the coverage areas of different base stations as they travel along the path, requiring the identification of base stations along each segment of the path.

[0041] S102. Determine the distance between any base station and any remote driver;

[0042] Since a given area includes multiple remote drives and multiple base stations, there are multiple ways to correspond between these remote drives and base stations. Based on the permutations and combinations, the distances between all remote drives corresponding to each segment of each path and all base stations along the path are determined.

[0043] S103. Determine the remote driver corresponding to the distance with a communication delay less than or equal to the set delay as the candidate driver;

[0044] Communication delay refers to the delay in information transmission between the remote driver and the base station that may occur due to factors such as distance and obstacles. Here, we mainly consider the communication delay caused by distance. A delay distance is set based on experience, and if the distance between the remote driver and the base station is kept within this delay distance, the impact of the delay on the remote driver's control of the vehicle can be ignored.

[0045] Filter remote drives by determining the distances between all remote drives and all base stations obtained in S102, ensuring that the distances between the remote drives and base stations are within a set delay distance. Remote drives within the set delay distance are selected as candidate drives.

[0046] S104. Based on the number of base stations covered by each candidate driver and the number of base stations continuously passed along each path, determine the remote driver among the candidate drivers for controlling the autonomous driving of vehicles entering the area.

[0047] Determine the number of base stations within the coverage area of ​​each candidate driver. Since remote drivers have a certain coverage area, each remote driver can only cover a portion of the base stations within a given area, or there may be cases where base stations are not covered.

[0048] This only considers each end of the path and does not consider the case where continuous base stations are covered in the middle of the path.

[0049] Starting from each end of the path, compare the number of base stations covered by the candidate driver, and select the candidate driver with the most base stations to be used as a remote driver for controlling the autonomous driving of vehicles entering the area.

[0050] Remove the base stations covered by the previously selected candidate drivers, and continue the above operation for the remaining base stations not covered by the candidate drivers until all base stations are covered by remote drivers.

[0051] The method for determining an autonomous driving remote driver provided in this application involves determining multiple paths within a set area, identifying the remote driver and base station corresponding to each segment of each path, determining the distance between any base station and any remote driver, selecting candidate drivers whose communication delay is less than or equal to a set delay, and determining the remote driver used to control the autonomous driving of vehicles entering the set area based on the candidate drivers and base station information. Since it involves determining multiple paths within a set area and controlling vehicles entering the set area, this application implements a scenario where multiple vehicles on multiple paths are simultaneously controlled by remote drivers, optimizing the selection of remote drivers, reducing the number of remote driver switching, and minimizing resource waste.

[0052] like Figure 2 The diagram shown is a flowchart of an embodiment of the method for determining a target driver for autonomous driving remote drivers provided in this application. Figure 2 As shown, the method includes:

[0053] S201. Determine the number of base stations covered by each candidate driver;

[0054] Step S201 provides a specific method for determining the number of base stations to be covered by candidate drivers, based on step S104:

[0055] Starting from each end of the path, determine the number of base stations covered by each candidate driver for each path. Since remote drivers have a certain coverage range, each remote driver can only cover a portion of the base stations in a given area, or there may be cases where base stations are not covered.

[0056] Among them, the candidate driver is the remote driver that does not cover the base station among the remote drivers corresponding to each segment of each path, and the remote driver that has a communication delay between the remote driver and the base station that is greater than a set delay. The remaining remote drivers are used as candidate drivers.

[0057] S202. Select the target driver with the largest number of covered base stations and the target base stations it covers;

[0058] Compare the number of base stations covered by all candidate drivers. The one that covers the most base stations is selected as the target driver, and the base stations covered by the target driver are selected as the target base stations.

[0059] In this process, when comparing the number of base stations covered by all candidate drivers before selecting the target driver, only the case of consecutive base stations from each end of the path is considered, and the case of base stations covered in the middle of the path is not considered.

[0060] S203. Among the remaining base stations after removing the target base station, select the target driver with the most covered base stations and the target base stations it covers, and repeat the operation of selecting the target driver with the most covered base stations among the remaining base stations until the selected target driver can cover the entire path.

[0061] Remove the target base station, and continue the above operation for the remaining base stations. Starting from each end of the path controlled by the remaining base stations, select the target driver with the most covered base stations and the covered target base station from the candidate drivers. Continue to remove the target base station and repeat this operation until the selected target driver can cover the entire path.

[0062] The method in this application selects the remote driver with the most base stations from the candidate drivers as the target driver, starting from each end of the path, without considering the continuous base stations covered in the middle of the road. This is to minimize the number of remote driver handovers and reduce the required traffic resources to the minimum.

[0063] like Figure 3 The diagram shown is a flowchart of an embodiment of the method for determining an autonomous driving remote driver provided in this application, which involves screening the remote driver and the base station. Figure 3 As shown, the method includes:

[0064] S301. Determine the source and destination locations of each path within the region, as well as the road segments between the source and destination locations;

[0065] Specifically, step S301 is the method for determining each segment in each path before step S101 determines the remote driver and base station corresponding to each segment in each path:

[0066] Before determining the remote drivers and base stations corresponding to each segment of each path, multiple paths between the origin and destination of multiple vehicles within the area are identified. Each path is also divided into multiple segments, each controlled by a different remote driver. A vehicle traveling on a single path may typically be controlled by different remote drivers. When a remote driver drives or monitors a vehicle on a particular segment, it declares that it covers that segment. Different remote drivers control different parts of the path, thus determining the remote drivers corresponding to each segment of each path.

[0067] S302. Determine the corresponding remote drivers and the base stations they cover in each road segment.

[0068] According to the above method, each path can be divided into multiple segments. When a remote driver drives or monitors a vehicle on a certain segment, it declares that it covers that segment. Different remote drivers control different parts of the path, and determine the remote drivers corresponding to each segment in each path, as well as the base stations covered by the remote drivers.

[0069] S303. Using Euclidean metrics, determine the distance between any base station and any remote driver.

[0070] Step S303 provides a specific method for determining the distance between any base station and any remote driver, based on the preceding step S102:

[0071] The distance between any base station and any remote driver is calculated using Euclidean metric. Taking the distance between a base station and a remote driver as an example, assuming the base station is a point (x1, y1, z1) and the remote driver is a point (x2, y2, z2), then according to the Euclidean distance calculation method in three-dimensional space, the distance ρ between the base station and the remote driver is as follows:

[0072]

[0073] S304. Set a delay. The distance between any base station and any remote driver must be within the set delay distance to ensure that the communication between the remote driver and the base station is not affected by the delay.

[0074] Set a delay distance between a remote driver and a base station. Compare the distance obtained in S303 with the set delay distance. Within this delay distance, communication between the remote driver and the base station is not affected by the delay. When the distance between the remote driver and the base station is greater than the set delay, remove the remote driver. For this path, the control of the remote driver is not considered.

[0075] Current remote driver switching algorithms for remote driving systems select the remote driver with the shortest distance to the autonomous vehicle and find the smallest set of remote drivers for a given route in order to minimize the number of remote driver switching. However, because the remote driver with the shortest distance to the autonomous vehicle is selected, the utilization rate of the remote driver is not maximized, resulting in a relatively large number of remote driver switching.

[0076] This application strictly controls the distance between the remote driver and the base station to be less than or equal to a set communication delay distance. This is because for remotely controlled autonomous driving, a large communication delay between the remote driver and the vehicle will affect safe driving. Furthermore, since propagation delay accounts for a significant portion of the total delay, this application only considers remote drivers that are within the set communication delay distance, and does not consider remote drivers that exceed the delay distance. Remote drivers within the delay distance can maximize utilization without frequent switching, reducing the waste of bandwidth resources caused by frequent remote driver switching.

[0077] For example, Figure 4 This is an example diagram illustrating a method for determining an autonomous remote drive according to this application. Figure 4 In this context, d1, d2, d3, d4, and d5 represent multiple candidate drivers, Path One and Path Two represent two paths, and B1, B2, B3...B 11 These represent base stations along each section of the road.

[0078] Assuming a delay distance of 10, d1 covers base stations {B1, B2, B7}, d2 covers base stations {B1, B2, B3, B7, B8}, and d3 covers base stations {B4, B5, B9, B... 10}, d4 covers base station {B5, B 11}, d5 covers base stations {B5, B6, B 11}

[0079] Starting with the first base station on the two paths, d2 covers the most consecutive base stations on the path. Therefore, d2 is selected as the first target driver. Removing the base stations covered by d2, for the remaining base stations, d3 covers the largest number of consecutive base stations in the remaining paths. Therefore, d3 is selected as the second target driver. Since d5 covers the remaining base stations, d5 is selected as the third driver. Therefore, the solution set of target drivers is {d2, d3, d5}.

[0080] One possible embodiment of this application provides a device for determining an autonomous driving remote driver. Figure 5 This is a schematic diagram of the device for determining an autonomous driving remote drive provided in an embodiment of this application, as shown below. Figure 5 As shown, the determining device 50 for the autonomous driving remote driver includes: an acquisition module 501, a determining module 502, and a control module 503;

[0081] The acquisition module 501 is used to determine multiple driving routes within a set area, and to determine the remote driver and base station corresponding to each segment of each route;

[0082] The determining module 502 is used to determine the distance between any base station and any remote driver; and to determine the remote drivers corresponding to distances with communication delays less than or equal to a set delay as candidate drivers;

[0083] The control module 503 is used to determine a remote driver for controlling the autonomous driving of vehicles entering the area from among the candidate drivers, based on the number of base stations covered by each candidate driver and the number of base stations continuously passed along each path.

[0084] One possible embodiment of this application provides a device for determining an autonomous driving remote driver. Figure 6 This is a schematic diagram of a device for determining an autonomous driving remote drive according to an embodiment of this application, such as... Figure 6 As shown, the determining device of the autonomous driving remote driver includes: processor 601, memory 602, and communication interface 603, which are connected via bus 604.

[0085] The memory 602 is used to store computer-executed instructions.

[0086] The processor 601 is used to execute computer execution instructions stored in the memory 602 to implement the above-described method for determining an autonomous driving remote driver.

[0087] The specific implementation process of processor 601 can be found in the above method embodiments, and its implementation principle and technical effect are similar. It will not be repeated here.

[0088] In the above Figure 6 In the illustrated embodiments, it should be understood that the processor can be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), etc. The general-purpose processor can be a microprocessor or any conventional processor. The steps of the method disclosed in this invention can be directly implemented by a hardware processor, or implemented by a combination of hardware and software modules within the processor.

[0089] The memory may include random access memory (RAM) and may also include non-volatile memory (NVM), such as at least one disk storage device.

[0090] The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus, etc. Buses can be categorized as address buses, data buses, control buses, etc. For ease of illustration, the buses shown in the accompanying drawings are not limited to a single bus or a single type of bus.

[0091] In one possible embodiment of this application, a computer-readable storage medium is also provided, on which computer-executable instructions are stored; the computer-executable instructions are used to implement the above-described method for determining an autonomous driving remote driver.

[0092] The aforementioned computer-readable storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic storage, flash memory, magnetic disk, or optical disk. The computer-readable storage medium can be any available medium accessible to a general-purpose or special-purpose computer.

[0093] An exemplary computer-readable storage medium is coupled to a processor, enabling the processor to read information from and write information to the computer-readable storage medium. Of course, the computer-readable storage medium can also be a component of the processor. The processor and the computer-readable storage medium can reside in an application-specific integrated circuit (ASIC). Alternatively, the processor and the computer-readable storage medium can exist as discrete components in the device.

[0094] The division of units is merely a logical functional division; in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be indirect coupling or communication connection through some interfaces, devices, or units, and may be electrical, mechanical, or other forms.

[0095] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0096] In addition, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.

[0097] If a function is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this invention, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0098] Those skilled in the art will understand that all or part of the steps of the above-described method embodiments can be implemented by hardware related to program instructions. The aforementioned program can be stored in a computer-readable storage medium. When executed, the program performs the steps of the above-described method embodiments; and the aforementioned storage medium includes various media capable of storing program code, such as ROM, RAM, magnetic disks, or optical disks.

[0099] Other embodiments of this application will readily occur to those skilled in the art upon consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of this application that follow the general principles of this application and include common knowledge or customary techniques in the art not disclosed herein. The specification and examples are to be considered exemplary only, and the true scope and spirit of this application are indicated by the following claims.

[0100] It should be understood that this application is not limited to the precise structure described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope. The scope of this application is limited only by the appended claims.

Claims

1. A method for determining an autonomous driving remote drive, characterized in that, include: Determine multiple driving routes within a defined area, and identify the remote drivers and base stations corresponding to each segment of each route; Determine the distance between any of the base stations and any of the remote drivers; The remote driver corresponding to the distance with a communication delay less than or equal to the set delay is identified as a candidate driver; Determine the number of base stations covered by each candidate driver; select the target driver with the most covered base stations and the target base stations it covers; among the remaining base stations after removing the target base stations, select the target driver with the most covered base stations and the target base stations it covers, and repeat the operation of selecting the target driver with the most covered base stations among the remaining base stations until the selected target driver can cover the entire path.

2. The method according to claim 1, characterized in that, Before determining the remote driver corresponding to the distance with a communication delay less than or equal to the set delay as a candidate driver, the method further includes: Remove the remote drivers that do not cover the base station from the remote drivers corresponding to each segment of each path.

3. The method according to any one of claims 1-2, characterized in that, Determining the distance between any of the base stations and any of the remote drivers includes: The distance between any of the base stations and any of the remote drivers is determined using Euclidean metrics.

4. The method according to any one of claims 1-2, characterized in that, Before determining the remote driver and base station corresponding to each segment in each path, the process also includes: Determine the source and destination locations of each path within the region, as well as the road segments between the source and destination locations; Identify the corresponding remote drivers and the base stations they cover in each road segment.

5. The method according to claim 1, characterized in that, The step of determining the remote driver corresponding to the distance with a communication delay less than or equal to a set delay as a candidate driver further includes: The set delay requires that the distance between any base station and any remote driver be within the set delay distance to ensure that the communication between the remote driver and the base station is not affected by the delay.

6. A determining device for an autonomous remote-controlled driver, comprising: The acquisition module is used to determine multiple driving routes within a set area, and to determine the remote driver and base station corresponding to each segment of each route; A determining module is used to determine the distance between any of the base stations and any of the remote drivers; The remote driver corresponding to the distance with a communication delay less than or equal to the set delay is identified as a candidate driver; The control module is used to determine the number of base stations covered by each candidate driver; select the target driver with the most covered base stations and the target base stations it covers; among the remaining base stations after removing the target base stations, select the target driver with the most covered base stations and the target base stations it covers, and repeat the operation of selecting the target driver with the most covered base stations among the remaining base stations until the selected target driver can cover the entire path.

7. A determining device for an autonomous driving remote drive, comprising: A processor, and a memory communicatively connected to the processor; The memory stores computer-executed instructions; The processor executes computer execution instructions stored in the memory to implement the method for determining an autonomous driving remote driver as described in any one of claims 1-5.

8. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer-executable instructions, which, when executed by a processor, are used to implement the method for determining an autonomous driving remote driver as described in any one of claims 1 to 5.

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