Resource integration system and method for vehicle traveling and parking, and device and storage medium
Through the central controller, the driving and parking evaluation modules are integrated, and the evaluation results are generated and software reuse analysis is carried out, which solves the problem of independent development of vehicle driving and parking system resources, and realizes efficient integration of resources and system optimization.
Patent Information
- Application Number
- PCT/CN2024/112232
- Authority / Receiving Office
- WO · WO
- Patent Type
- Applications
- Current Assignee / Owner
- Priority Date
- 2024-01-23
- Filing Date
- 2024-08-15
- Publication Date
- 2025-07-31
AI Technical Summary
The hardware and software resources of existing vehicle driving and parking assist systems are usually developed and managed independently, resulting in waste of resources and system complexity, and limited interoperability and compatibility.
Through the central controller, the driving and parking evaluation modules are integrated, the evaluation results are generated and software reuse analysis is performed, and the vehicle's software and hardware resource configuration is optimized to realize the time-sharing reuse of driving and parking functions.
It reduces system costs and complexity, saves chip resources and computing resources, and realizes integrated time-sharing reuse of driving and parking functions.
Smart Images

Figure CN2024112232_31072025_PF_FP_ABST
Abstract
Description
Vehicle parking resource integration system, method, device and storage medium
[0001] This application claims priority to the Chinese patent application filed with the China Patent Office on January 23, 2024, with application number 202410093942.2, the entire contents of which are incorporated by reference into this application. Technical Field
[0002] The present application relates to the field of vehicle control technology, for example, to a vehicle parking resource integration system, method, device and storage medium. Background Art
[0003] With the continuous advancement of automotive technology, more and more vehicles are equipped with advanced driving and parking assistance systems, such as automatic parking, panoramic imaging, and blind spot monitoring. These systems are typically composed of multiple sensors, controllers, and actuators that need to work together to realize the vehicle's driving and parking functions.
[0004] However, the hardware and software resources of these systems are often developed and managed independently, resulting in wasted resources and system complexity. For example, different driving and parking assistance systems may use different sensors and controllers, making system integration and maintenance difficult. Furthermore, different systems may use different software algorithms and protocols, which limits interoperability and compatibility.
[0005] Summary of the Invention
[0006] The present application provides a vehicle parking resource integration system, method, device and storage medium to achieve time-sharing multiplexing of parking and driving, and reduce controller costs and vehicle sensor and controller resources.
[0007] The embodiment of the present application provides a vehicle driving and parking resource integration system, the system comprising: a central controller, a driving assessment module and a parking assessment module connected to the central controller;
[0008] The driving evaluation module is configured to obtain a driving function link, generate a driving evaluation result based on the driving function link, and send the driving evaluation result to the central processor, wherein the driving function link includes information related to software and hardware resources when the vehicle performs the driving function;
[0009] the parking assessment module is configured to obtain a parking function link, generate a parking assessment result based on the parking function link, and send the parking assessment result to the central processing unit, wherein the parking function link includes information related to software and hardware resources when the vehicle performs a parking function;
[0010] The central processing unit is configured to receive the driving evaluation result and the parking evaluation result, obtain an underlying configuration, generate a software reuse analysis result based on the underlying configuration, and perform resource integration based on the software reuse analysis result, the driving evaluation result, and the parking evaluation result, wherein the underlying configuration includes information related to the software and hardware configuration of the vehicle.
[0011] Optionally, the driving evaluation module is configured to generate a parking evaluation result based on the parking function link in the following manner: obtaining driving parameters to be evaluated in the driving function link according to preset driving evaluation items, and generating a driving evaluation result based on the driving parameters to be evaluated, wherein the driving evaluation items include evaluating the front-view camera, evaluating driving perception, evaluating the fault detection and diagnosis (FDD) configuration, and evaluating the driving computing power.
[0012] Optionally, the evaluation of the forward-looking camera includes evaluating the resolution, frame rate and field of view of the forward-looking camera; the evaluation of driving perception includes evaluating the recognition and tracking capabilities of vehicles, pedestrians and road signs; the evaluation of FDD configuration includes evaluating the vehicle's fault diagnosis and troubleshooting capabilities; and the evaluation of driving computing power includes evaluating the minimum driving computing power and the maximum driving operating computing power.
[0013] Optionally, the parking assessment module is configured to generate a parking assessment result based on the parking function link in the following manner: obtaining parking parameters to be assessed in the parking function link based on preset parking items to be assessed, and generating a parking assessment result based on the parking parameters to be assessed, wherein the parking items to be assessed include evaluating a surround-view camera, evaluating hardware and interface circuit design, evaluating parking perception, and evaluating parking computing power.
[0014] Optionally, the evaluation of the surround-view camera includes evaluating the resolution, frame rate and field of view of the surround-view camera; the evaluation of the hardware and interface circuit design includes evaluating the reliability, stability and compatibility of the hardware; the evaluation of parking perception includes evaluating the recognition and tracking capabilities of parking spaces; and the evaluation of parking computing power includes evaluating the minimum parking computing power and the maximum parking operating computing power.
[0015] Optionally, the central processing unit is configured to generate software reuse analysis results based on the underlying configuration in the following manner: performing reuse analysis on the underlying configuration according to preset reuse analysis items to generate software reuse analysis results, wherein the reuse analysis items include the environment configuration development of the underlying software, the architecture changes of the hardware, and the configuration of the corresponding interface.
[0016] Optionally, the central processing unit is configured to perform resource integration based on the software reuse analysis results, the driving evaluation results, and the parking evaluation results in the following manner: displaying the software reuse analysis results, the driving evaluation results, and the parking evaluation results to a user to obtain resource integration information input by the user, generating a resource integration strategy based on the resource integration information, and performing resource integration based on the resource integration strategy, wherein the resource integration information includes environment configuration development information, architecture change information, and interface configuration information.
[0017] An embodiment of the present application provides a method for integrating vehicle driving and parking resources, the method comprising: obtaining a driving function link through a driving evaluation module, generating a driving evaluation result based on the driving function link, and sending the driving evaluation result to a central processing unit, wherein the driving function link includes information related to software and hardware resources when the vehicle performs the driving function; obtaining a parking function link through a parking evaluation module, generating a parking evaluation result based on the parking function link, and sending the parking evaluation result to the central processing unit, wherein the parking function link includes information related to software and hardware resources when the vehicle performs the parking function; receiving the driving evaluation result and the parking evaluation result through the central processing unit, and obtaining an underlying configuration, generating a software reuse analysis result based on the underlying configuration, and performing resource integration based on the software reuse analysis result, the driving evaluation result, and the parking evaluation result, wherein the underlying configuration includes information related to the software and hardware configuration of the vehicle.
[0018] An embodiment of the present application provides an electronic device, comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute a vehicle parking resource integration method described in any embodiment of the present application.
[0019] An embodiment of the present application provides a computer-readable storage medium storing computer instructions, wherein the computer instructions are used to enable a processor to implement a vehicle parking resource integration method described in any embodiment of the present application when executed. BRIEF DESCRIPTION OF THE DRAWINGS
[0020] The following is a brief introduction to the drawings required for the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.
[0021] FIG1 is a schematic structural diagram of a vehicle parking resource integration system provided according to a first embodiment of the present application;
[0022] FIG2 is a flow chart of a method for integrating vehicle parking resources according to a third embodiment of the present application;
[0023] FIG3 is a schematic diagram of the structure of an electronic device for implementing a vehicle parking resource integration method according to an embodiment of the present application. DETAILED DESCRIPTION
[0024] The following will describe the technical solutions in the embodiments of this application in conjunction with the drawings in the embodiments of this application. Obviously, the embodiments described are only part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts should fall within the scope of protection of this application.
[0025] The terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequential order. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in a sequence other than those illustrated or described herein. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not listed or inherent to these processes, methods, products or devices.
[0026] Example 1
[0027] FIG1 is a schematic structural diagram of a vehicle driving and parking resource integration system provided in accordance with a first embodiment of the present application. The system includes a central controller, a driving assessment module and a parking assessment module connected to the central controller.
[0028] The central controller is an electronic control unit that integrates multiple vehicle control functions. Through the central controller, the vehicle's power system, braking system, steering system, and suspension system can be coordinated and controlled to achieve intelligent and automated control of the vehicle. The central controller in the technical solution of the embodiment of the present application is mainly configured to perform software reuse analysis and integrate resources for the vehicle's driving and parking functions. Resource integration refers to the integration of software and hardware resources related to vehicle driving and parking to achieve time-sharing reuse of driving and parking, thereby saving chip resources, computing power resources, and component resources.
[0029] Optionally, the driving evaluation module is configured to obtain a driving function link, generate a driving evaluation result based on the driving function link, and send the driving evaluation result to the central processing unit, wherein the driving function link includes information related to software and hardware resources when the vehicle performs the driving function; the parking evaluation module is configured to obtain a parking function link, generate a parking evaluation result based on the parking function link, and send the parking evaluation result to the central processing unit, wherein the parking function link includes information related to software and hardware resources when the vehicle performs the parking function; the central processing unit is configured to receive the driving evaluation result and the parking evaluation result, and obtain the underlying configuration, generate a software reuse analysis result based on the underlying configuration, and perform resource integration based on the software reuse analysis result, the driving evaluation result, and the parking evaluation result, wherein the underlying configuration includes information related to the vehicle's software and hardware configuration.
[0030] The driving assessment module is configured to obtain a driving function link, generate a driving assessment result based on the driving function link, and send the driving assessment result to the central processing unit. The driving function link includes information related to the software and hardware resources used by the vehicle when performing the driving function, such as the vehicle's sensors, controllers, actuators, etc. The driving assessment module will generate a driving assessment result based on this information and send it to the central processing unit. The parking assessment module is configured to obtain a parking function link, generate a parking assessment result based on the parking function link, and send the parking assessment result to the central processing unit. The parking function link includes information related to the software and hardware resources used by the vehicle when performing the parking function. The parking assessment module will generate a parking assessment result based on this information and send it to the central processing unit.
[0031] The central processing unit (CPU) is configured to receive the driving and parking evaluation results, obtain the underlying configuration, generate a software reuse analysis result based on the underlying configuration, and perform resource integration based on the software reuse analysis results, driving and parking evaluation results. The underlying configuration includes information related to the vehicle's hardware and software configuration, such as the vehicle's processor, memory, and storage space. Based on this information, the CPU generates a software reuse analysis result to assess whether the vehicle's software resources can meet driving and parking requirements. The CPU then integrates resources based on the software reuse analysis results, driving and parking evaluation results to optimize vehicle performance.
[0032] Optionally, the driving evaluation module is configured to obtain driving parameters to be evaluated in the driving function link according to preset driving items to be evaluated, and generate a driving evaluation result according to the driving parameters to be evaluated, wherein the driving items to be evaluated include evaluating the front-view camera, evaluating driving perception, evaluating the FDD configuration, and evaluating the driving computing power.
[0033] The driving evaluation module includes a front-view camera evaluation unit, a driving perception evaluation unit, an FDD configuration evaluation unit, and a driving computing power evaluation unit. The front-view camera evaluation unit is configured to evaluate the image quality of the front-view camera, for example, evaluating the resolution, frame rate, contrast, brightness and other parameters of the front-view camera. The driving perception evaluation unit is configured to evaluate the accuracy and reliability of driving perception, for example, evaluating the distance, speed and direction and other parameters of driving perception. The FDD configuration evaluation unit is configured to evaluate the rationality and effectiveness of the FDD configuration, for example, evaluating the bandwidth, frequency and modulation mode and other parameters of the FDD configuration. The driving computing power evaluation unit is configured to evaluate the performance and efficiency of the driving computing power, for example, evaluating the computing speed, memory usage and power consumption and other parameters of the driving computing power.
[0034] Furthermore, the driving evaluation module can interact with other modules in the driving function chain to obtain driving parameters to be evaluated and generate driving evaluation results based on the driving parameters to be evaluated. The driving evaluation results can be used to optimize the performance and efficiency of the driving function chain and improve driving safety and reliability.
[0035] Optionally, evaluating the forward-looking camera includes evaluating the resolution, frame rate, and field of view of the forward-looking camera; evaluating driving perception includes evaluating the recognition and tracking capabilities of vehicles, pedestrians, and road signs; evaluating the FDD configuration includes evaluating the vehicle's fault diagnosis and troubleshooting capabilities; and evaluating driving computing power includes evaluating the minimum driving computing power and the maximum driving operating computing power.
[0036] Evaluating the forward-looking camera includes evaluating the resolution, frame rate, and field of view of the forward-looking camera; evaluating driving perception includes evaluating the recognition and tracking capabilities of vehicles, pedestrians, and road signs; evaluating the FDD configuration includes evaluating the vehicle's fault diagnosis and troubleshooting capabilities; and evaluating driving computing power includes evaluating the minimum driving computing power and the maximum operating driving computing power.
[0037] The forward-view camera is a crucial component of the driving function chain. Its resolution, frame rate, and field of view directly impact driving safety and reliability. Therefore, when evaluating a forward-view camera, a comprehensive assessment of its resolution, frame rate, and field of view is necessary. Resolution refers to the clarity of the image captured by the forward-view camera, frame rate refers to the frequency at which the camera captures images, and field of view refers to the range within which the camera captures images. By evaluating the forward-view camera's resolution, frame rate, and field of view, we can determine whether the camera meets driving requirements and provide a reference for optimizing the driving function chain.
[0038] Driving perception is another crucial component of the driving functional chain. Its recognition and tracking capabilities directly impact driving safety and reliability. Therefore, evaluating driving perception requires a comprehensive assessment of vehicle, pedestrian, and road sign recognition and tracking capabilities. Vehicle, pedestrian, and road sign recognition and tracking capabilities refer to the driving perception system's ability to accurately identify and track vehicles, pedestrians, and road signs. By evaluating these capabilities, we can determine whether the driving perception system meets driving requirements and provide a reference for optimizing the driving functional chain.
[0039] FDD configuration is a critical parameter in the driving function chain. Its rationality and effectiveness directly impact driving safety and reliability. Therefore, when evaluating FDD configuration, a comprehensive assessment of the vehicle's fault diagnosis and troubleshooting capabilities is necessary. This refers to the FDD configuration's ability to accurately diagnose and troubleshoot vehicle faults. By evaluating the vehicle's fault diagnosis and troubleshooting capabilities, we can determine whether the FDD configuration meets driving requirements and provide a reference for optimizing the driving function chain.
[0040] The vehicle's computing power is a crucial parameter in the vehicle's functional chain. Its performance and efficiency directly impact the safety and reliability of the vehicle. Therefore, when evaluating vehicle computing power, a comprehensive assessment of both the minimum and maximum operating computing power is necessary. The minimum computing power refers to the minimum computing power required for the vehicle's functional chain to operate normally, while the maximum operating computing power refers to the maximum computing power required for the vehicle's functional chain to operate normally.
[0041] Optionally, the parking evaluation module is configured to obtain parking evaluation parameters in the parking function link based on preset parking evaluation items, and generate a parking evaluation result based on the parking evaluation parameters, wherein the parking evaluation items include evaluating the surround-view camera, evaluating the hardware and interface circuit design, evaluating the parking perception, and evaluating the parking computing power.
[0042] The parking assessment module retrieves the parking parameters to be assessed in the parking function chain, such as the surround-view camera resolution, based on pre-defined parking assessment items. The module then generates a parking assessment result based on these parameters to evaluate the performance and safety of the parking system.
[0043] When evaluating surround-view cameras, the module considers factors such as camera resolution and field of view. When evaluating hardware and interface circuit design, the module considers factors such as circuit stability, reliability, and compatibility. When evaluating parking perception, the module considers factors such as sensor accuracy, sensitivity, and response speed to ensure it can accurately perceive the vehicle's surroundings. When evaluating parking computing power, the module considers factors such as processor performance, memory capacity, and storage space to ensure it can support the efficient operation of the parking system.
[0044] Optionally, evaluating the surround-view camera includes evaluating the resolution, frame rate, and field of view of the surround-view camera; evaluating the hardware and interface circuit design includes evaluating the reliability, stability, and compatibility of the hardware; evaluating parking perception includes evaluating the parking space recognition and tracking capabilities; and evaluating parking computing power includes evaluating the minimum parking computing power and the maximum parking operating computing power.
[0045] A surround-view camera is a panoramic camera that provides a panoramic image of the vehicle's surroundings, helping the driver better understand the vehicle's surroundings. Evaluating the performance of a surround-view camera primarily involves evaluating parameters such as camera resolution, frame rate, and field of view. Furthermore, hardware and interface circuit design are crucial components of an automated parking system. This evaluation primarily involves assessing hardware reliability, stability, and compatibility. Reliability refers to the stability and reliability of the hardware, stability refers to the hardware's ability to resist interference, and compatibility refers to the hardware's compatibility with other devices. By evaluating these metrics, it is possible to determine whether the hardware and interface circuit design meet the requirements of an automated parking system.
[0046] Parking perception enables environmental awareness around the vehicle and generates parking path planning and control instructions based on this information. Evaluating parking perception performance primarily involves evaluating metrics such as parking space recognition and tracking capabilities. Parking space recognition and tracking capabilities refer to the parking perception system's ability to accurately identify and track parking spaces around the vehicle and, based on this information, generate parking path planning and control instructions. By evaluating these metrics, it can be determined whether the parking perception system meets the requirements of an automated parking system. Evaluating parking computing power includes assessing both the minimum and maximum operating computing power. This computing power ensures the computing power and processing speed of the automated parking system, ensuring its real-time performance and accuracy.
[0047] The technical solution of the embodiment of the present application includes: a driving assessment module configured to obtain driving function links, generate driving assessment results based on the driving function links, and send the driving assessment results to a central processing unit; a parking assessment module configured to obtain parking function links, generate parking assessment results based on the parking function links, and send the parking assessment results to the central processing unit; and a central processing unit configured to receive the driving assessment results and parking assessment results, obtain underlying configurations, generate software reuse analysis results based on the underlying configurations, and perform resource integration based on the software reuse analysis results, driving assessment results, and parking assessment results. By integrating the resources of the vehicle's driving and parking functions through the central processing unit, the system reduces cost and complexity, achieves time-sharing reuse of driving and parking functions, and conserves chip resources, computing power resources, and component resources.
[0048] Example 2
[0049] This embodiment describes the central processing unit based on the above-mentioned embodiment 1.
[0050] Optionally, the central processing unit is configured to perform reuse analysis on the underlying configuration according to preset reuse analysis items to generate software reuse analysis results, wherein the reuse analysis items include environmental configuration development of the underlying software, architectural changes to the hardware, and configuration of corresponding interfaces.
[0051] The CPU can perform reuse analysis on the underlying configuration according to preset reuse analysis items to generate software reuse analysis results. Reuse analysis items include the development of the underlying software environment configuration, hardware architecture changes, and the configuration of corresponding interfaces.
[0052] Optionally, the central processing unit is configured to display the software reuse analysis results, driving evaluation results, and parking evaluation results to the user to obtain resource integration information input by the user, generate a resource integration strategy based on the resource integration information, and perform resource integration according to the resource integration strategy, wherein the resource integration information includes environment configuration development information, architecture change information, and interface configuration information.
[0053] The central processing unit can display the software reuse analysis results, driving evaluation results and parking evaluation results to the user to obtain the resource integration information input by the user, and generate a resource integration strategy based on the resource integration information, and then perform resource integration according to the resource integration strategy.
[0054] The central processing unit first processes and integrates the results of the software reuse analysis, driving assessment, and parking assessment, presenting this information to the user in an intuitive and understandable manner. By integrating and displaying this information, users can better understand the system's operation and better integrate resources.
[0055] After receiving resource integration information from the user, the CPU analyzes and processes it to generate a corresponding resource integration strategy. This resource integration information may include information about environmental configuration development, architecture changes, and interface configurations. By analyzing and processing this information, the CPU can determine the optimal resource integration plan, thereby improving system performance and efficiency. Finally, the CPU performs resource integration based on the generated resource integration strategy, including allocating system hardware resources, optimizing software resources, and adjusting the system architecture. Under the control of the CPU, time-sharing and reuse optimization of functions can be performed. During driving conditions, the driving condition algorithm is invoked, and parking-related functions and resources are not applied. During parking conditions, driving-related reused resources are not invoked. This conserves sensor and actuator resources and optimizes hardware, computing power, and deployment resources.
[0056] The technical solution of the embodiment of the present application includes: a driving assessment module configured to obtain driving function links, generate driving assessment results based on the driving function links, and send the driving assessment results to a central processing unit; a parking assessment module configured to obtain parking function links, generate parking assessment results based on the parking function links, and send the parking assessment results to the central processing unit; and a central processing unit configured to receive the driving assessment results and parking assessment results, obtain underlying configurations, generate software reuse analysis results based on the underlying configurations, and perform resource integration based on the software reuse analysis results, driving assessment results, and parking assessment results. By integrating the resources of the vehicle's driving and parking functions through the central processing unit, the system reduces cost and complexity, achieves time-sharing reuse of driving and parking functions, and conserves chip resources, computing power resources, and component resources.
[0057] Example 3
[0058] FIG2 is a flowchart of a method for integrating vehicle parking resources according to a third embodiment of the present application. This embodiment is applicable to scenarios where vehicle resources are integrated. As shown in FIG2 , the method includes the following steps.
[0059] S310. Obtain a driving function link through a driving evaluation module, generate a driving evaluation result based on the driving function link, and send the driving evaluation result to a central processing unit, wherein the driving function link includes information related to software and hardware resources when the vehicle performs the driving function.
[0060] The driving assessment module is configured to obtain the driving function link, generate a driving assessment result based on the driving function link, and send the driving assessment result to the central processing unit. The driving function link includes information related to the software and hardware resources used by the vehicle to perform driving functions, such as the vehicle's sensors, controllers, and actuators. The driving assessment module generates the driving assessment result based on this information and sends it to the central processing unit.
[0061] S320: Obtain a parking function link through the parking assessment module, generate a parking assessment result based on the parking function link, and send the parking assessment result to the central processing unit, wherein the parking function link includes information related to software and hardware resources when the vehicle performs the parking function.
[0062] The parking assessment module is configured to obtain a parking function link, generate a parking assessment result based on the parking function link, and send the parking assessment result to the central processing unit. The parking function link includes information related to the vehicle's software and hardware resources when executing the parking function, such as the vehicle's sensors, controllers, and actuators. Based on this information, the parking assessment module generates a parking assessment result and sends it to the central processing unit.
[0063] S330. Receive the driving assessment result and the parking assessment result through the central processing unit, obtain the underlying configuration, generate a software reuse analysis result based on the underlying configuration, and integrate resources based on the software reuse analysis result, the driving assessment result, and the parking assessment result, wherein the underlying configuration includes information related to the vehicle's software and hardware configuration.
[0064] The central processing unit (CPU) is configured to receive the driving and parking evaluation results, obtain the underlying configuration, generate a software reuse analysis result based on the underlying configuration, and perform resource integration based on the software reuse analysis results, driving and parking evaluation results. The underlying configuration includes information related to the vehicle's hardware and software configuration, such as the vehicle's processor, memory, and storage space. Based on this information, the CPU generates a software reuse analysis result to assess whether the vehicle's software resources can meet driving and parking requirements. The CPU then integrates resources based on the software reuse analysis results, driving and parking evaluation results to optimize vehicle performance.
[0065] The technical solution of the embodiment of the present application integrates the resources of the vehicle's driving function and parking function through the central processing unit, reduces the cost and complexity of the system, realizes time-sharing multiplexing of driving and parking, and saves chip resources, computing power resources and component resources.
[0066] Example 4
[0067] FIG3 shows a block diagram of an electronic device 10 that can be used to implement an embodiment of the present application. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices (such as helmets, glasses, watches, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present application described and / or required herein.
[0068] As shown in FIG3 , the electronic device 10 includes at least one processor 11 and a memory, such as a read-only memory (ROM) 12 and a random access memory (RAM) 13, that is communicatively connected to the at least one processor 11. The memory stores a computer program that can be executed by the at least one processor, and the processor 11 can perform various appropriate actions and processes according to the computer program stored in the ROM 12 or the computer program loaded from the storage unit 18 into the RAM 13. The RAM 13 can also store various programs and data required for the operation of the electronic device 10. The processor 11, ROM 12, and RAM 13 are connected to each other via a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.
[0069] Multiple components in the electronic device 10 are connected to the I / O interface 15, including an input unit 16, such as a keyboard, a mouse, etc.; an output unit 17, such as various types of displays, speakers, etc.; a storage unit 18, such as a magnetic disk, an optical disk, etc.; and a communication unit 19, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information / data with other devices via a computer network such as the Internet and / or various telecommunication networks.
[0070] Processor 11 can be a variety of general-purpose and / or specialized processing components with processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various specialized artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. Processor 11 executes the various methods and processes described above, such as a method for integrating vehicle parking resources. That is: obtaining a driving function link through the driving evaluation module, generating a driving evaluation result based on the driving function link, and sending the driving evaluation result to the central processing unit, wherein the driving function link includes information related to the software and hardware resources when the vehicle performs the driving function; obtaining a parking function link through the parking evaluation module, generating a parking evaluation result based on the parking function link, and sending the parking evaluation result to the central processing unit, wherein the parking function link includes information related to the software and hardware resources when the vehicle performs the parking function; receiving the driving evaluation result and the parking evaluation result through the central processing unit, and obtaining the underlying configuration, generating a software reuse analysis result based on the underlying configuration, and performing resource integration based on the software reuse analysis result, the driving evaluation result, and the parking evaluation result, wherein the underlying configuration includes information related to the vehicle's software and hardware configuration.
[0071] In some embodiments, a method for integrating vehicle row parking resources can be implemented as a computer program tangibly embodied in a computer-readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program can be loaded and / or installed on electronic device 10 via ROM 12 and / or communication unit 19. When the computer program is loaded into RAM 13 and executed by processor 11, one or more steps of the method for integrating vehicle row parking resources described above can be performed. Alternatively, in other embodiments, processor 11 can be configured to execute the method for integrating vehicle row parking resources via any other suitable means (e.g., via firmware).
[0072] Various embodiments of the systems and techniques described herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard parts (ASSPs), system on chips (SOCs), complex programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments can include being implemented in one or more computer programs that are executable and / or interpreted on a programmable system that includes at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.
[0073] Computer programs for implementing the methods of the present application may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, such that when the computer program is executed by the processor, the functions / operations specified in the flowcharts and / or block diagrams are implemented. The computer program may be executed entirely on the machine, partially on the machine, as a stand-alone software package, partially on the machine and partially on a remote machine, or entirely on a remote machine or server.
[0074] In the context of the present application, a computer-readable storage medium can be a tangible medium that can contain or store a computer program for use by an instruction execution system, device or equipment or used in combination with an instruction execution system, device or equipment. A computer-readable storage medium can include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared or semiconductor systems, devices or equipment, or any suitable combination of the foregoing. Alternatively, a computer-readable storage medium can be a machine-readable signal medium. A more specific example of a machine-readable storage medium can include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a RAM, a ROM, an erasable programmable read-only memory (EPROM) or a flash memory, an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
[0075] To provide interaction with a user, the systems and techniques described herein can be implemented on an electronic device having: a display device (e.g., a cathode ray tube (CRT) or a liquid crystal display (LCD) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user can provide input to the electronic device. Other types of devices can also be configured to provide interaction with the user; for example, the feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and the input from the user can be received in any form (including acoustic input, voice input, or tactile input).
[0076] The systems and techniques described herein can be implemented in a computing system that includes back-end components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes front-end components (e.g., a user computer with a graphical user interface or web browser through which a user can interact with embodiments of the systems and techniques described herein), or a computing system that includes any combination of such back-end components, middleware components, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.
[0077] A computing system may include a client and a server. The client and server are generally remote from each other and typically interact via a communication network. The client-server relationship arises through computer programs running on the respective computers and establishing a client-server relationship with each other. The server may be a cloud server, also known as a cloud computing server or cloud host, a host product within a cloud computing service ecosystem that addresses the management difficulties and limited scalability of traditional physical hosts and virtual private server (VPS) services.
[0078] It should be understood that the various forms of the processes shown above can be used to reorder, add, or delete steps. For example, the multiple steps described in this application can be performed in parallel, sequentially, or in a different order, as long as the desired results of the technical solution of this application can be achieved. This is not limited herein.
Claims
1. A vehicle driving and parking resource integration system, comprising: A central controller, a driving assessment module and a parking assessment module connected to the central controller; The driving evaluation module is configured to obtain a driving function link, generate a driving evaluation result based on the driving function link, and send the driving evaluation result to the central processor, wherein the driving function link includes information related to software and hardware resources when the vehicle performs the driving function; the parking assessment module is configured to obtain a parking function link, generate a parking assessment result based on the parking function link, and send the parking assessment result to the central processing unit, wherein the parking function link includes information related to software and hardware resources when the vehicle performs a parking function; The central processing unit is configured to receive the driving evaluation result and the parking evaluation result, obtain an underlying configuration, generate a software reuse analysis result based on the underlying configuration, and perform resource integration based on the software reuse analysis result, the driving evaluation result, and the parking evaluation result, wherein the underlying configuration includes information related to the software and hardware configuration of the vehicle.
2. The system according to claim 1, wherein The driving evaluation module is configured to generate a parking evaluation result based on the parking function link in the following manner: obtaining driving parameters to be evaluated in the driving function link according to preset driving evaluation items, and generating a driving evaluation result based on the driving parameters to be evaluated, wherein the driving evaluation items include evaluating the front-view camera, evaluating driving perception, evaluating the fault detection and diagnosis (FDD) configuration, and evaluating the driving computing power.
3. The system according to claim 2, wherein The evaluating the forward-looking camera includes evaluating the resolution, frame rate, and field of view of the forward-looking camera; The evaluation of driving perception includes evaluating the recognition and tracking capabilities of vehicles, pedestrians, and road signs; Said evaluating the FDD configuration includes evaluating the vehicle's fault diagnosis and troubleshooting capabilities; The evaluation of driving computing power includes evaluating the minimum driving computing power and the maximum driving operating computing power.
4. The system according to claim 1, wherein, The parking assessment module is configured to generate a parking assessment result based on the parking function link in the following manner: obtaining parking parameters to be assessed in the parking function link based on preset parking assessment items, and generating a parking assessment result based on the parking parameters to be assessed, wherein the parking assessment items include evaluating a surround-view camera, evaluating hardware and interface circuit design, evaluating parking perception, and evaluating parking computing power.
5. The system according to claim 4, wherein, The evaluating the surround view camera includes evaluating the resolution, frame rate and field of view of the surround view camera; The evaluation of hardware and interface circuit design includes evaluating the reliability, stability and compatibility of the hardware; The evaluating of parking perception includes evaluating the ability to identify and track parking spaces; The evaluation of parking computing power includes evaluating the minimum parking computing power and the maximum parking operating computing power.
6. The system according to claim 1, wherein, The central processing unit is configured to generate software reuse analysis results based on the underlying configuration in the following manner: performing reuse analysis on the underlying configuration according to preset reuse analysis items to generate software reuse analysis results, wherein the reuse analysis items include the environment configuration development of the underlying software, the architecture changes of the hardware, and the configuration of the corresponding interface.
7. The system according to claim 1, wherein, The central processing unit is configured to perform resource integration according to the software reuse analysis result, the driving evaluation result, and the parking evaluation result in the following manner: display the software reuse analysis result, the driving evaluation result, and the parking evaluation result to the user to obtain the resource integration information input by the user, generate a resource integration strategy according to the resource integration information, and perform resource integration according to the resource integration strategy, where the resource integration information includes environment configuration development information, architecture change information, and interface configuration information.
8. A vehicle driving and parking resource integration method, applied to a vehicle driving and parking resource integration system according to any one of claims 1-7, includes: Obtain a driving function link through a driving evaluation module, generate a driving evaluation result according to the driving function link, and send the driving evaluation result to the central processing unit, where the driving function link includes information related to software and hardware resources when the vehicle executes driving functions; Obtain a parking function link through a parking evaluation module, generate a parking evaluation result according to the parking function link, and send the parking evaluation result to the central processing unit, where the parking function link includes information related to software and hardware resources when the vehicle executes parking functions; Receive the driving evaluation result and the parking evaluation result through the central processing unit, obtain the underlying configuration, generate a software reuse analysis result according to the underlying configuration, and perform resource integration according to the software reuse analysis result, the driving evaluation result, and the parking evaluation result, where the underlying configuration includes information related to software and hardware configurations of the vehicle.
9. An electronic device, comprising: At least one processor; And A memory communicatively connected to the at least one processor; wherein, The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor to enable the at least one processor to execute the method described in claim 8.
10. A computer storage medium storing computer instructions for causing a processor to implement the method described in claim 8 when executed.
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