Intelligent driving assistance regulation and control method, server side, vehicle side and system

Abstract

The invention discloses an intelligent driving auxiliary regulation and control method, a server side, a vehicle side and a system, and belongs to the technical field of intelligent driving. A specific embodiment of the method comprises the following steps: analyzing abnormal data generated by a vehicle intelligent driving system by using a server, and pushing an abnormal occurrence position, a driving behavior and reward information matched with the abnormal data to a plurality of vehicles, the multiple target vehicles execute intelligent driving operation matched with the driving behavior at the abnormal occurrence position and collect and report intelligent driving data, the operation of optimizing the vehicle intelligent driving system is further executed through the intelligent driving data, and rewards are sent to the target vehicles. According to the embodiment of the invention, the efficiency and effectiveness of collecting the intelligent driving data corresponding to the abnormal behavior of the intelligent driving system are improved, and the cost of collecting the intelligent driving data is reduced, so that the efficiency and optimization effect of optimizing the intelligent driving system are improved, and the interactivity between the vehicle and the server is improved.

Description

Technical Field

[0001] This invention relates to the field of intelligent driving technology, and in particular to an intelligent driving assistance control method, server, vehicle, and system. Background Technology

[0002] With the widespread use of intelligent driving technology, the requirements for the reliability of intelligent driving systems are becoming increasingly stringent. During intelligent driving (autonomous driving or assisted driving) operations, abnormal behaviors (such as abnormal exit or inactivation) may occur in the intelligent driving system (autonomous driving system or assisted driving system) due to edge scenarios (such as abnormal weather, special road conditions, etc.). Existing methods usually involve using experimental vehicles to conduct simulation tests on abnormal driving scenarios or using experimental vehicles for on-site testing to obtain intelligent driving data for analysis, thereby further analyzing the causes of abnormalities and optimizing the intelligent driving system.

[0003] Existing methods suffer from low flexibility, low efficiency, and high cost in acquiring and processing intelligent driving data, which affects the efficiency of optimizing intelligent driving systems. Summary of the Invention

[0004] In view of this, the present invention provides an intelligent driving assistance control method, a server, a vehicle, and a system. The server analyzes abnormal data generated by the vehicle's intelligent driving system and pushes the location of the abnormality, driving behavior, and reward information matching the abnormal data to multiple vehicles. This enables multiple target vehicles to perform intelligent driving operations matching the driving behavior at the abnormality location, collect and report intelligent driving data, and further optimize the vehicle's intelligent driving system based on the intelligent driving data, sending rewards to the target vehicles. This invention improves the efficiency and effectiveness of collecting intelligent driving data corresponding to abnormal behaviors of the intelligent driving system, reduces the cost of collecting intelligent driving data, thereby improving the efficiency and effectiveness of optimizing the intelligent driving system and enhancing the interactivity between the vehicle and the server.

[0005] To solve the above-mentioned technical problems, the present invention provides the following technical solution:

[0006] In a first aspect, the present invention provides an intelligent driving assistance control method, applied to a server, comprising: determining abnormal data corresponding to abnormal behavior of a vehicle's intelligent driving system, parsing out driving behavior and the location of the abnormality that match the abnormal data; pushing the location of the abnormality, driving behavior, and reward information to multiple vehicles, causing the vehicles to perform intelligent driving operations matching the driving behavior at the location of the abnormality; in response to one or more target vehicles performing intelligent driving operations at the location of the abnormality, sending reward information indicating a reward to one or more target vehicles; and optimizing the vehicle's intelligent driving system based on the intelligent driving operations performed by multiple target vehicles at the location of the abnormality.

[0007] Optionally, the location of the anomaly, driving behavior, and reward information can be pushed to multiple vehicles, including: marking the location of the anomaly on the navigation map, marking a designated area containing the location of the anomaly, and pushing the marked navigation map, driving behavior, and reward information to one or more vehicles.

[0008] Optionally, the intelligent driving assistance control method further includes: constructing an electronic fence for a designated area containing the location of the anomaly; in response to one or more target vehicles performing intelligent driving operations at the location of the anomaly, including: in response to one or more target vehicles entering the electronic fence, triggering the target vehicles to collect intelligent driving data corresponding to the intelligent driving operations performed within the electronic fence.

[0009] Optionally, the vehicle intelligent driving system is optimized based on the intelligent driving operations performed by multiple target vehicles at the location where the anomaly occurred. This includes: acquiring intelligent driving data corresponding to the intelligent driving operations performed by multiple target vehicles at the location where the anomaly occurred; and using the multiple intelligent driving data to train the corresponding vehicle intelligent driving system to optimize the vehicle intelligent driving system.

[0010] Optionally, the vehicle intelligent driving system may be one or more types.

[0011] Secondly, this invention provides an intelligent driving assistance control method, applied to a vehicle, including:

[0012] Receives information from the server regarding the location of the anomaly, driving behavior, and reward information; controls the vehicle to drive to the location of the anomaly and executes intelligent driving operations matching the driving behavior; receives reward information indicating the reward for the driving behavior, enabling the server to optimize the vehicle's intelligent driving system based on intelligent driving data corresponding to the intelligent driving operations performed by multiple target vehicles at the location of the anomaly and matching the driving behavior.

[0013] Optionally, after receiving the location of the anomaly, driving behavior, and reward information sent by the server, the process further includes: obtaining the vehicle's current location; planning a driving route and driving time from the current location to the location of the anomaly; displaying a query message containing the driving route, driving time, and whether to confirm proceeding to the location of the anomaly to perform intelligent driving operations; and, if the received query message indicates confirmation, executing the steps of controlling the vehicle to drive to the location of the anomaly and performing intelligent driving operations matching the driving behavior.

[0014] Optionally, the intelligent driving assistance control method further includes: during the process of controlling the vehicle to drive to the location where the abnormality occurred, and / or, before executing an intelligent driving operation matched with the driving behavior, upon receiving a cancellation message, suspending the operation of controlling the vehicle to drive to the location where the abnormality occurred, and / or suspending the execution of the intelligent driving operation matched with the driving behavior.

[0015] Optionally, the intelligent driving assistance control method further includes: displaying reward information obtained by the vehicle on an interactive interface; responding to a trigger for any reward information, rendering the interactive interface according to the reward information to display visual information that corresponds to the reward information.

[0016] Thirdly, embodiments of the present invention provide an intelligent driving assistance control server, comprising:

[0017] The anomaly identification module is used to identify the abnormal data corresponding to the abnormal behavior of the vehicle's intelligent driving system, and to parse out the driving behavior and the location of the anomaly that match the abnormal data.

[0018] The anomaly sending module is used to push the location of the anomaly, driving behavior, and reward information to multiple vehicles, so that the vehicles can perform intelligent driving operations that match the driving behavior at the location of the anomaly.

[0019] The reward sending module is used to send a reward information indication to one or more target vehicles in response to one or more target vehicles performing intelligent driving operations at the location where the anomaly occurs.

[0020] The system module is optimized to perform intelligent driving operations based on multiple target vehicles at the location where the anomaly occurs, thereby optimizing the vehicle's intelligent driving system.

[0021] Optionally, the intelligent driving assistance control server is used to push the location of the anomaly, driving behavior, and reward information to multiple vehicles, including: marking the location of the anomaly on the navigation map, marking the set area containing the location of the anomaly, and pushing the marked navigation map, driving behavior, and reward information to one or more vehicles.

[0022] Optionally, the intelligent driving assistance control server is further used to construct an electronic fence for a designated area containing the location of the anomaly; in response to one or more target vehicles performing intelligent driving operations at the location of the anomaly, it includes: in response to one or more target vehicles entering the electronic fence, triggering the target vehicles to collect intelligent driving data corresponding to the intelligent driving operations performed within the electronic fence.

[0023] Optionally, the intelligent driving assistance control server is used to optimize the vehicle's intelligent driving system by performing intelligent driving operations on multiple target vehicles at the location where the anomaly occurs. This includes: acquiring intelligent driving data corresponding to the intelligent driving operations performed by multiple target vehicles at the location where the anomaly occurs; and using the multiple intelligent driving data to train the corresponding vehicle intelligent driving system to optimize the vehicle intelligent driving system.

[0024] Optionally, the intelligent driving assistance control server processes one or more types of vehicle intelligent driving systems.

[0025] Fourthly, embodiments of the present invention provide a vehicle terminal, comprising:

[0026] The information receiving module is used to receive information such as the location of the anomaly, driving behavior, and reward information sent by the server.

[0027] The vehicle control module is used to control the vehicle to drive to the location where the anomaly occurred and to execute intelligent driving operations that match the driving behavior.

[0028] The reward receiving module is used to receive reward information sent in response to driving behavior, enabling the server to optimize the vehicle's intelligent driving system based on intelligent driving data corresponding to intelligent driving operations that match the driving behavior at the location where the anomaly occurred for multiple target vehicles.

[0029] Optionally, on the vehicle side, after receiving the location of the anomaly, driving behavior, and reward information sent by the server, the vehicle further obtains its current location, plans a driving route and driving time from the current location to the location of the anomaly, and displays a query message including the driving route, driving time, and whether to confirm proceeding to the location of the anomaly to perform intelligent driving operations. If the received query message indicates confirmation, the vehicle is controlled to drive to the location of the anomaly and performs intelligent driving operations that match the driving behavior.

[0030] Optionally, on the vehicle side, it is further configured to, during the process of controlling the vehicle to drive to the location where the anomaly occurred, and / or, before executing an intelligent driving operation matched with the driving behavior, upon receiving a cancellation message, suspend the operation of controlling the vehicle to drive to the location where the anomaly occurred, and / or suspend the execution of the intelligent driving operation matched with the driving behavior.

[0031] Optionally, on the vehicle side, it is further configured to display reward information that the vehicle has obtained on the interactive interface, and in response to the triggering of any reward information, render the interactive interface according to the reward indicated by the reward information to display visual information that matches the reward information.

[0032] Fifthly, embodiments of the present invention provide an intelligent driving assistance control system, including: an intelligent driving assistance control server as described in the third aspect and a vehicle terminal as described in the fourth aspect.

[0033] Sixthly, embodiments of the present invention provide an electronic device, comprising:

[0034] One or more processors;

[0035] Storage device, which is used to store one or more programs.

[0036] When one or more programs are executed by one or more processors, the one or more processors implement the intelligent driving assistance control method as described in the above embodiments of the present invention.

[0037] In a seventh aspect, embodiments of the present invention provide a computer-readable storage medium having a computer program thereon storing a computer program for implementing an intelligent driving assistance control method. When the computer program is executed by an onboard processor, it implements the intelligent driving assistance control method of the present invention.

[0038] Eighthly, embodiments of the present invention provide a vehicle capable of implementing the intelligent driving assistance control method applied to the vehicle side as described in the embodiments of the present invention above.

[0039] The technical solution of the above invention has the following advantages or beneficial effects: It utilizes a server to analyze abnormal data generated by the vehicle's intelligent driving system and pushes the location of the abnormality, driving behavior, and reward information matching the abnormal data to multiple vehicles. This enables multiple target vehicles to perform intelligent driving operations matching the driving behavior at the location of the abnormality and collect and report intelligent driving data. Furthermore, it uses the intelligent driving data to optimize the vehicle's intelligent driving system and sends rewards to the target vehicles. This invention improves the efficiency and effectiveness of collecting intelligent driving data corresponding to abnormal behaviors of the intelligent driving system, reduces the cost of collecting intelligent driving data, thereby improving the efficiency and effectiveness of optimizing the intelligent driving system and enhancing the interaction between the vehicle and the server. Attached Figure Description

[0040] Figure 1 This is a flowchart illustrating an intelligent driving assistance control method according to an embodiment of the present invention;

[0041] Figure 2 This is a flowchart illustrating another intelligent driving assistance control method provided according to an embodiment of the present invention;

[0042] Figure 3 This is a schematic diagram of the interaction process of another intelligent driving assistance control system provided according to an embodiment of the present invention;

[0043] Figure 4This is a schematic diagram of the structure of an intelligent driving assistance control server according to an embodiment of the present invention;

[0044] Figure 5 This is a schematic diagram of a vehicle end structure provided according to an embodiment of the present invention;

[0045] Figure 6 This is a schematic diagram of the structure of a computer system suitable for implementing embodiments of the present invention. Detailed Implementation

[0046] The following description, in conjunction with the accompanying drawings, illustrates exemplary embodiments of the present invention, including various details to aid understanding. These details should be considered merely exemplary. Therefore, those skilled in the art will recognize that various changes and modifications can be made to the embodiments described herein without departing from the scope and spirit of the invention. Similarly, for clarity and brevity, descriptions of well-known functions and structures are omitted in the following description.

[0047] It should be noted that, unless otherwise specified, the embodiments of the present invention and the technical features thereof can be combined with each other.

[0048] Furthermore, the terms "first," "second," and "third," etc., included in the terminology of this invention are used to distinguish similar objects and are not necessarily used to describe a specific number or order. It should be understood that such terms can be used interchangeably where appropriate; this is merely a distinguishing method used in the embodiments of this invention when describing objects with the same attributes.

[0049] Furthermore, the vehicles involved in the embodiments of the present invention may be internal combustion engine vehicles that use an engine as a power source, hybrid vehicles that use an engine and an electric motor as power sources, electric vehicles that use an electric motor as a power source, etc.

[0050] Figure 1 The following diagram illustrates the main steps of the intelligent driving assistance control method (applied to the server) provided in the embodiments of the present invention:

[0051] Step S101: Determine the abnormal data corresponding to the abnormal behavior of the vehicle's intelligent driving system, and parse out the driving behavior and the location of the abnormality that match the abnormal data.

[0052] Specifically, in this embodiment of the invention, the server (e.g., a vehicle management platform) can receive intelligent driving data reported by multiple vehicles regarding the use of intelligent driving functions (including autonomous driving or assisted driving functions), and analyze the received intelligent driving data. If the analysis indicates abnormal behavior in the intelligent driving system, the server determines the abnormal data corresponding to the abnormal behavior of the vehicle's intelligent driving system. For example, if the analysis determines that the intelligent driving system abnormally exits when the vehicle is performing intelligent driving in special road conditions (e.g., high-curvature roundabouts, narrow construction roads, etc.), then the abnormal data corresponding to that scenario is obtained. By analyzing the abnormal data, abnormal behaviors that may exist in the intelligent driving system under different scenarios during operation can be extracted, especially some edge scenarios (i.e., long-tail scenarios of intelligent driving), improving the comprehensive coverage and efficiency of determining abnormal behaviors of the intelligent driving system.

[0053] Furthermore, the driving behaviors (including autonomous driving behaviors or assisted driving behaviors) that match the abnormal data and the location of the anomaly can be analyzed. The driving behaviors can include the location of the anomaly (e.g., a road segment or address identified by geographic information) and the intelligent driving behaviors performed at that location (e.g., control commands sent, driving routes, driving speeds, etc.). It can be understood that by analyzing the driving behaviors and the location of the anomaly, the specific scene and specific data corresponding to the scene where the vehicle's intelligent driving system malfunctions can be further determined.

[0054] Step S102: Push the location of the anomaly, driving behavior, and reward information to multiple vehicles, so that the vehicles can perform intelligent driving operations (including autonomous driving operations or assisted driving operations) that match the driving behavior at the location of the anomaly.

[0055] Step S103: In response to one or more target vehicles performing intelligent driving operations at the location where the anomaly occurred, send a reward information indication to one or more target vehicles.

[0056] Specifically, after determining the location of the anomaly and the driving behavior corresponding to the anomaly scenario (such as the occurrence of a long-tail problem), the server can push the location of the anomaly, the driving behavior, and reward information (i.e., issue an intelligent driving data collection task) to multiple vehicles. The reward information includes reward type, reward quantity, etc.; reward types include, for example, one or more of the following: points, wallpapers, skins, electronic pets, electronic blind boxes, etc.

[0057] By providing rewards, multiple vehicles can be encouraged to perform intelligent driving operations that match their driving behavior at the location where the anomaly occurs, and intelligent driving data corresponding to the intelligent driving operations can be collected. By combining the intelligent driving data reported by multiple vehicles in the same scenario of intelligent driving system anomaly, the causes of intelligent driving system anomalies and optimization solutions can be further analyzed.

[0058] Specifically, the system pushes information about the location of the anomaly, driving behavior, and rewards to multiple vehicles, including: marking the location of the anomaly on the navigation map and marking a designated area containing the location of the anomaly; and pushing the marked navigation map, driving behavior, and reward information to one or more vehicles.

[0059] By marking locations and setting areas on the navigation map and pushing them, vehicles can receive and display the marked navigation map through an in-vehicle client or a smart terminal application bound to the vehicle. This allows them to navigate to the set area containing the location of the anomaly and, upon reaching the set area, execute intelligent driving operations that match their driving behavior.

[0060] Furthermore, when the server determines that one or more vehicles (i.e., target vehicles) are performing intelligent driving operations at the location where the anomaly occurred and reports the intelligent driving data, it sends reward information (such as points, wallpapers, skins, electronic pets, electronic blind boxes, etc., or one or more types and corresponding reward quantities) to the target vehicles to indicate the reward for performing the intelligent driving operation. The vehicle can display the reward on the central control screen or through a smart terminal application bound to the vehicle; this improves the efficiency and accuracy of obtaining intelligent driving data related to anomalies and enhances the interactivity and fun between the server and the intelligent driving vehicle through the reward strategy.

[0061] Step S104: Optimize the vehicle's intelligent driving system by performing intelligent driving operations on multiple target vehicles at the location where the anomaly occurred.

[0062] Specifically, the intelligent driving system is trained based on the intelligent driving data set generated by multiple target vehicles performing intelligent driving operations at the location of the anomaly (the intelligent driving data collected by the vehicle can include problem identifiers, identifiers indicating the location of the anomaly, detailed data of the intelligent driving operation, etc.). This achieves the beneficial effect of optimizing the intelligent driving system, enabling the optimized intelligent driving system to overcome this type of abnormal behavior. That is, optimizing the vehicle intelligent driving system based on multiple target vehicles performing intelligent driving operations at the location of the anomaly includes: acquiring intelligent driving data corresponding to the intelligent driving operations performed by multiple target vehicles at the location of the anomaly; and using the multiple intelligent driving data to train the corresponding vehicle intelligent driving system to optimize the vehicle intelligent driving system.

[0063] In this embodiment of the invention, the collection of intelligent driving data by vehicles can be automatically triggered. Specifically, an electronic fence is constructed for a designated area containing the location of the anomaly. In response to one or more target vehicles performing intelligent driving operations at the location of the anomaly, the process includes: responding to one or more target vehicles entering the electronic fence and triggering the target vehicles to collect intelligent driving data corresponding to the intelligent driving operations performed within the electronic fence. By automatically triggering the target vehicles to collect intelligent driving data, the completeness and effectiveness of the collected intelligent driving data, as well as the consistency of the range of intelligent driving data collected by different vehicles, can be improved. This enhances the reliability and quality of the acquired intelligent driving data, thereby improving the training effect of using the collected intelligent driving data to train the intelligent driving system.

[0064] Furthermore, in this embodiment of the invention, the type of vehicle intelligent driving system is one or more. It is understood that intelligent driving systems can have different types; for example: intelligent driving systems L0-L5 corresponding to different levels of automation, intelligent driving systems corresponding to different types of areas (e.g., highways, mountainous areas, mining areas, industrial parks, etc.), intelligent driving systems corresponding to different vehicle models, etc.; typically, different types of intelligent driving systems have different intelligent driving functions, therefore their abnormal data matching driving behaviors, abnormal occurrence locations, etc., may differ; when the server publishes a data collection task for abnormal data, it can include the type of intelligent driving system, so that vehicles with that type of intelligent driving system can perform corresponding intelligent driving operations and intelligent driving data collection operations, further improving the refinement and effectiveness of intelligent driving data for long-tail scenarios. This embodiment of the invention can execute intelligent driving data corresponding to intelligent driving operations at abnormal occurrence locations for different types of intelligent driving systems; it can use multiple intelligent driving data to train the corresponding vehicle intelligent driving system to optimize the steps of the vehicle intelligent driving system, improving the efficiency of collecting intelligent driving data and optimizing intelligent driving systems for different types of intelligent driving systems.

[0065] Figure 2 The following diagram illustrates the main steps of the intelligent driving assistance control method (applied to the vehicle side) provided by the embodiments of the present invention:

[0066] Step S201: Receive the location of the anomaly, driving behavior, and reward information sent by the server.

[0067] Step S202: Control the vehicle to drive to the location where the abnormality occurred and execute intelligent driving operations that match the driving behavior.

[0068] Step S203: Receive the reward information sent for the driving behavior, so that the server can perform intelligent driving operations corresponding to the driving behavior based on multiple target vehicles at the location where the anomaly occurred, and optimize the vehicle intelligent driving system.

[0069] Specifically, the description of the server pushing the location of the anomaly, driving behavior, and reward information to the vehicle, the vehicle executing the set intelligent driving operations and collecting intelligent driving data, and optimizing the intelligent driving system are consistent with the description of steps S101 to S104, and will not be repeated here.

[0070] The vehicle can receive and view navigation maps through an in-vehicle client or a smart device application linked to the vehicle. The navigation map marks the location where the anomaly occurred and the designated area.

[0071] Furthermore, in this embodiment of the invention, after receiving the anomaly location, driving behavior, and reward information sent by the server, the current location of the vehicle is obtained, and a driving route and driving time from the current location to the anomaly location are planned for the vehicle; a query message including the driving route, driving time, and whether to confirm proceeding to the anomaly location to perform intelligent driving operations is displayed; if the received query message indicates confirmation, the steps of controlling the vehicle to drive to the anomaly location and performing intelligent driving operations matching the driving behavior are executed. Specifically, the vehicle's control module can plan a navigation route for the vehicle based on the current location and the anomaly location and display the navigation route and the driving time used to reach the anomaly location; and display whether the occupant confirms proceeding to the anomaly location to perform preset driving behaviors (to collect behavioral data corresponding to intelligent driving behaviors). If the occupant selects "confirm," the vehicle is controlled to drive to the anomaly location to perform intelligent driving operations matching the driving behavior.

[0072] Furthermore, in this embodiment of the invention, during the process of controlling the vehicle to drive to the location where the anomaly occurred, and / or, before executing an intelligent driving operation matching the driving behavior, upon receiving a cancellation message, the operation of controlling the vehicle to drive to the location where the anomaly occurred is suspended, and / or the execution of the intelligent driving operation matching the driving behavior is suspended.

[0073] This invention improves the flexibility and interactivity of intelligent driving operations that match driving behavior when driving to the location of an anomaly by providing passengers with inquiry information and cancellation options.

[0074] Furthermore, after controlling the vehicle to drive to the location where the anomaly occurred, executing intelligent driving operations that match the driving behavior, collecting and reporting the intelligent driving data corresponding to the intelligent driving operations, the system receives reward information sent by the server.

[0075] Furthermore, the vehicle displays reward information already acquired by the vehicle on the interactive interface. In response to triggering any reward information, the interactive interface is rendered according to the reward information, displaying information that aligns with the reward. For example, if the reward information is an electronic pet, the interactive interface on the in-vehicle display can be rendered using the electronic pet to visualize the reward information. In other words, the patterns or animations displayed on the interactive interface are customized based on the reward information, further enhancing the interactivity between the server and the vehicle, as well as between the user and the vehicle, and better motivating users to participate in the optimization of the intelligent driving system.

[0076] Figure 3 The diagram illustrates the interactive flow of the intelligent driving assistance control system provided in the embodiments of the present invention; specifically, the intelligent driving assistance control system includes an intelligent driving assistance control server S and a vehicle V.

[0077] Step S301: The server determines the abnormal data corresponding to the abnormal behavior of the vehicle's intelligent driving system, and parses out the driving behavior and the location of the abnormality that match the abnormal data.

[0078] Step S302: The server marks the location of the anomaly on the navigation map and marks the designated area containing the location of the anomaly; the marked navigation map, driving behavior and reward information are pushed to one or more vehicles.

[0079] Step S303: The vehicle receives the location of the anomaly, driving behavior, and reward information sent by the server.

[0080] Step S304: The vehicle controls the vehicle to drive to the location where the anomaly occurred, executes intelligent driving operations that match the driving behavior, and collects and reports intelligent driving data.

[0081] Understandably, before step S304, the vehicle's current location is obtained, and a driving route and driving time from the current location to the location where the anomaly occurred are planned for the vehicle; a query message containing the driving route, driving time, and whether to confirm proceeding to the location where the anomaly occurred to perform intelligent driving operations is displayed; if the received query message indicates confirmation, the steps of controlling the vehicle to drive to the location where the anomaly occurred and performing intelligent driving operations that match the driving behavior are executed.

[0082] And / or,

[0083] During the process of controlling the vehicle to the location where the anomaly occurred, and / or, before executing an intelligent driving operation matched with the driving behavior, upon receiving a cancellation message, the operation of controlling the vehicle to the location where the anomaly occurred is aborted, and / or the execution of the intelligent driving operation matched with the driving behavior is aborted.

[0084] Step S305: The server sends a reward information indication to one or more target vehicles.

[0085] Step S306: The server performs intelligent driving operations on multiple target vehicles at the location where the anomaly occurred, along with the corresponding intelligent driving data, to optimize the vehicle's intelligent driving system and terminate the current process.

[0086] Step S307: The vehicle receives the reward information sent in response to the driving behavior and displays visual information that corresponds to the reward information.

[0087] The main steps of the intelligent driving assistance control method for the server side are described in the same way as steps S101 to S104, and will not be repeated here; the main steps of the intelligent driving assistance control method for the vehicle side are described in the same way as steps S201 to S203, and will not be repeated here.

[0088] Figure 4 A schematic diagram of the structure of an intelligent driving assistance control server 400, to which embodiments of the present invention can be applied, is shown. It includes:

[0089] The anomaly detection module 401 is used to determine the abnormal data corresponding to the abnormal behavior of the vehicle's intelligent driving system, and to parse out the driving behavior and the location of the anomaly that match the abnormal data.

[0090] The exception sending module 402 is used to push the location of the exception, driving behavior and reward information to multiple vehicles, so that the vehicles can perform intelligent driving operations that match the driving behavior at the location of the exception.

[0091] The reward sending module 403 is used to send a reward information indication to one or more target vehicles in response to one or more target vehicles performing intelligent driving operations at the location where the anomaly occurs.

[0092] The system module 404 is optimized to perform intelligent driving operations based on multiple target vehicles at the location where the anomaly occurs, thereby optimizing the vehicle's intelligent driving system.

[0093] Figure 5 A schematic diagram of the structure of a vehicle end 500 to which embodiments of the present invention can be applied is shown. It includes:

[0094] The information receiving module 501 is used to receive the location of the anomaly, driving behavior, and reward information sent by the server.

[0095] The vehicle control module 502 is used to control the vehicle to drive to the location where the abnormality occurred and to perform intelligent driving operations that match the driving behavior.

[0096] The reward receiving module 503 is used to receive the reward information sent for the driving behavior, so that the server can optimize the vehicle intelligent driving system based on the intelligent driving data corresponding to the intelligent driving operation matched with the driving behavior at the location where the anomaly occurs for multiple target vehicles.

[0097] The following is for reference. Figure 6 It shows a schematic diagram of the structure of a computer system 600 suitable for implementing embodiments of the present invention. Figure 6 The computer system shown is merely an example and should not be construed as limiting the functionality and scope of use of the embodiments of the present invention.

[0098] like Figure 6 As shown, the computer system 600 includes a central processing unit (CPU) 601, which can perform various appropriate actions and processes based on programs stored in read-only memory (ROM) 602 or programs loaded from storage section 608 into random access memory (RAM) 603. The RAM 603 also stores various programs and data required for the operation of the system 600. The CPU 601, ROM 602, and RAM 603 are interconnected via a bus 604. An input / output (I / O) interface 605 is also connected to the bus 604.

[0099] The following components are connected to I / O interface 605: an input section 606; an output section 607 including devices such as cathode ray tubes (CRTs), liquid crystal displays (LCDs), and speakers; a storage section 608 including devices such as hard disks; and a communication section 609 including network interface cards such as LAN cards and modems. The communication section 609 performs communication processing via a network such as the Internet. A drive 610 is also connected to I / O interface 605 as needed. A removable medium 611, such as a disk, optical disk, magneto-optical disk, semiconductor memory, etc., is installed on drive 610 as needed so that computer programs read from it can be installed into storage section 608 as needed.

[0100] In particular, according to the embodiments disclosed in this invention, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments disclosed in this invention include a computer program product comprising a computer program carried on a computer-readable medium, the computer program containing program code for performing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via communication section 609, and / or installed from removable medium 611. When the computer program is executed by central processing unit (CPU) 601, it performs the functions defined above in the system of this invention.

[0101] It should be noted that the computer-readable medium shown in this invention can be a computer-readable signal medium or a computer-readable storage medium, or any combination thereof. A computer-readable storage medium can be, for example,—but not limited to—an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of a computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof. In this invention, a computer-readable storage medium can be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, apparatus, or device. In this invention, a computer-readable signal medium can include a data signal propagated in baseband or as part of a carrier wave, carrying computer-readable program code. Such propagated data signals can take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. Computer-readable signal media can also be any computer-readable medium other than computer-readable storage media, which can send, propagate, or transmit a program for use by or in connection with an instruction execution system, apparatus, or device. The program code contained on the computer-readable medium can be transmitted using any suitable medium, including but not limited to: wireless, wire, optical fiber, RF, etc., or any suitable combination thereof.

[0102] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of the present invention. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those indicated in the drawings. For example, two consecutively indicated blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in a block diagram or flowchart, and combinations of blocks in a block diagram or flowchart, may be implemented using a dedicated hardware-based system that performs the specified function or operation, or using a combination of dedicated hardware and computer instructions.

[0103] In another aspect, the present invention also provides a computer-readable medium, which may be included in the device described in the above embodiments; or it may exist independently and not assembled into the device. The computer-readable medium carries one or more programs that, when executed by the device, cause the device to include: determining abnormal data corresponding to abnormal behavior of a vehicle intelligent driving system; parsing out driving behavior and abnormal location matching the abnormal data; pushing abnormal location, driving behavior, and reward information to multiple vehicles, causing the vehicles to perform intelligent driving operations matching the driving behavior at the abnormal location; in response to one or more target vehicles performing intelligent driving operations at the abnormal location, sending a reward information indication to one or more target vehicles; and optimizing the vehicle intelligent driving system based on the intelligent driving operations performed by multiple target vehicles at the abnormal location. Alternatively, it may receive abnormal location, driving behavior, and reward information sent by a server; control the vehicle to drive to the abnormal location and perform intelligent driving operations matching the driving behavior; receive a reward information indication sent for the driving behavior, causing the server to optimize the vehicle intelligent driving system based on intelligent driving data corresponding to the intelligent driving operations matching the driving behavior performed by multiple target vehicles at the abnormal location.

[0104] Those skilled in the art will understand that various modifications, combinations, sub-combinations, and substitutions can occur depending on design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this invention should be included within the scope of protection of this invention.

Claims

1. A method for controlling intelligent driving assistance, characterized in that, Applied to the server side, including: Identify abnormal data corresponding to abnormal behavior of the vehicle's intelligent driving system, and parse out the driving behavior and location of the abnormality that match the abnormal data; wherein, the intelligent driving system includes an autonomous driving system or an assisted driving system; The location of the anomaly, the driving behavior, and reward information are pushed to multiple vehicles, enabling the vehicles to perform intelligent driving operations at the location of the anomaly that match the driving behavior. In response to one or more target vehicles performing the intelligent driving operation at the location where the anomaly occurred, a reward indicated by the reward information is sent to one or more of the target vehicles; The vehicle intelligent driving system is optimized based on the intelligent driving operation performed by multiple target vehicles at the location where the anomaly occurred.

2. The intelligent driving assistance control method according to claim 1, characterized in that, The step of pushing the location of the anomaly, the driving behavior, and reward information to multiple vehicles includes: Mark the location where the anomaly occurred and mark the designated area containing the location of the anomaly on the navigation map; The labeled navigation map, the driving behavior, and the reward information are pushed to one or more vehicles.

3. The intelligent driving assistance control method according to claim 2, characterized in that, Further includes: Construct an electronic fence for the designated area containing the location where the anomaly occurred; The response to one or more target vehicles performing the intelligent driving operation at the location where the anomaly occurred includes: In response to one or more target vehicles entering the electronic fence, the target vehicles are triggered to collect intelligent driving data corresponding to the intelligent driving operation performed within the electronic fence.

4. The intelligent driving assistance control method according to claim 1, characterized in that, The step of optimizing the vehicle intelligent driving system by performing the intelligent driving operation based on multiple target vehicles at the location where the anomaly occurs includes: Acquire intelligent driving data corresponding to the intelligent driving operations performed by multiple target vehicles at the location where the anomaly occurred; The corresponding vehicle intelligent driving system is trained using multiple sets of intelligent driving data to optimize the vehicle intelligent driving system.

5. The intelligent driving assistance control method according to claim 1, characterized in that, The vehicle intelligent driving system may be of one or more types.

6. A method for controlling intelligent driving assistance, characterized in that, Applications in vehicles include: Receive the location of the anomaly, driving behavior, and reward information sent by the server; Control the vehicle to drive to the location where the anomaly occurred, and execute intelligent driving operations that match the driving behavior; The server receives the reward information sent in response to the driving behavior, and then performs intelligent driving operations corresponding to the driving behavior based on multiple target vehicles at the location where the anomaly occurred, thereby optimizing the vehicle's intelligent driving system.

7. The intelligent driving assistance control method according to claim 6, characterized in that, After receiving the location of the anomaly, driving behavior, and reward information from the server, the system further includes: Obtain the current location of the vehicle, and plan a driving route and driving time from the current location to the location where the anomaly occurred; The system displays a query message that includes the driving route, the driving time, and whether it is confirmed to proceed to the location where the anomaly occurred to perform intelligent driving operations. If the received inquiry information indicates confirmation, the steps are to control the vehicle to drive to the location where the anomaly occurred and perform intelligent driving operations that match the driving behavior.

8. The intelligent driving assistance control method according to claim 7, characterized in that, Further includes: During the process of controlling the vehicle to the location where the anomaly occurred, and / or, before executing intelligent driving operations that match the driving behavior, Upon receiving a cancellation message, the operation of controlling the vehicle to the location where the anomaly occurred is suspended, and / or the execution of intelligent driving operations matching the driving behavior is suspended.

9. The intelligent driving assistance control method according to claim 6, characterized in that, Further includes: The interactive interface displays the reward information that the vehicle has obtained. In response to the triggering of any reward information, the interactive interface is rendered according to the reward indicated by the reward information to display visual information that corresponds to the reward information.

10. A smart driving assistance control server, characterized in that, include: An anomaly detection module is used to determine the abnormal data corresponding to abnormal behavior of the vehicle's intelligent driving system, and to parse out the driving behavior and the location of the anomaly that match the abnormal data; wherein, the intelligent driving system includes an autonomous driving system or an assisted driving system; An anomaly sending module is used to push the location of the anomaly, the driving behavior, and reward information to multiple vehicles, so that the vehicles perform intelligent driving operations that match the driving behavior at the location of the anomaly. A reward sending module is used to send a reward indicated by the reward information to one or more target vehicles in response to one or more target vehicles performing the intelligent driving operation at the location where the anomaly occurred. An optimization system module is used to perform the intelligent driving operation based on multiple target vehicles at the location where the anomaly occurs, thereby optimizing the vehicle intelligent driving system.

11. A vehicle end, characterized in that, include: The information receiving module is used to receive information such as the location of the anomaly, driving behavior, and reward information sent by the server. A vehicle control module is used to control the vehicle to drive to the location where the anomaly occurred and to execute intelligent driving operations that match the driving behavior. The reward receiving module is used to receive the reward information indicated by the reward information sent for the driving behavior, so that the server can perform intelligent driving operations corresponding to the driving behavior based on multiple target vehicles at the location where the anomaly occurs, thereby optimizing the vehicle intelligent driving system.

12. An intelligent driving assistance control system, characterized in that, include: The intelligent driving assistance control server as described in claim 10 and the vehicle terminal as described in claim 11.

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