Road data evaluation report generating method, device, equipment, and storage medium

Abstract

The present application discloses a method, device, equipment and storage medium for generating a road data evaluation report, the method including the steps of acquiring road data to be processed and road data to be evaluated, performing an anonymization process on the road data to be processed to obtain target road data, determining true road data based on the target road data, and generating a road data evaluation report based on the true road data and the road data to be evaluated.

Description

[Technical field]

[0001] (CROSS REFERENCE TO RELATED APPLICATIONS) This application claims priority to a Chinese patent application filed on January 19, 2022, bearing application number 202210057250.3, the entire contents of which are incorporated herein by reference.

[0002] The present application relates to the technical field of vehicles, and in particular to a road data evaluation report generating method, device, equipment and storage medium. [Background technology]

[0003] With the development of artificial intelligence technology, automotive electrification and intelligent technology will also bring about innovative changes. Autonomous driving functions at level L3 and above have high requirements for vehicle intelligence and functional backup, and currently, major automakers and emerging automakers are investing a lot of resources into verifying algorithms and functions. However, for different new mass-produced vehicle models, the verification of mass-produced autonomous driving solutions still requires a lot of research and development and frequent testing resources.

[0004] The above content is used to facilitate understanding of the technical solution of the present application, and is not admitted to be prior art. Summary of the Invention [Problem to be solved by the invention]

[0005] The main objective of the present application is to provide a road data evaluation report generating method, device, equipment and storage medium to solve the technical problem of accurately obtaining road data evaluation reports while reducing research, development and testing resources. [Means for solving the problem]

[0006] In order to achieve the above object, the present application provides a road data evaluation report generating method, the road data evaluation report generating method comprising: A step of acquiring road data to be processed and road data to be evaluated; performing an anonymization process on the processing target road data to obtain target road data; determining true road data based on the target road data; and generating a road data evaluation report based on the true road data and the evaluation target road data.

[0007] In one embodiment, the step of acquiring the processing target road data and the evaluation target road data includes: determining a vehicle data collection time signal in response to receiving a sensor trigger and a time signal; and acquiring processing target road data and evaluation target road data in response to the data collection time signal.

[0008] In one embodiment, the step of performing an anonymization process on the processing target road data to obtain target road data includes: performing an anonymization process on the target road data in accordance with a preset anonymization rule to obtain anonymized road data; determining road scene information corresponding to the road anonymization data; and performing indexing on the road anonymized data based on the road scene information to obtain target road data.

[0009] In one embodiment, the step of determining true road data based on the target road data comprises: Obtaining first driving control information of a vehicle; determining true road data based on the target road data and the first driving control information.

[0010] In one embodiment, the step of generating a road data evaluation report based on the true road data and the evaluation target road data includes: Obtaining second driving control information and a high-precision map of a vehicle; The method includes a step of generating a road data evaluation report based on the true road data, the evaluation target road data, the second driving control information, and the high-precision map.

[0011] In one embodiment, the step of acquiring a high precision map comprises: acquiring a map information collection time signal; collecting map data to be processed in response to the information collection time signal; and generating a high-precision map based on the map data to be processed.

[0012] In one embodiment, the step of generating a high precision map based on the target map data includes: obtaining vehicle control information for the vehicle; determining map raw data based on the vehicle control information and the target map data; and generating a high-precision map based on the raw map data.

[0013] In order to achieve the above object, the present application further proposes a road data evaluation report generating device, the road data evaluation report generating device comprising: an acquisition module configured to acquire processing target road data and evaluation target road data; a processing module configured to perform an anonymization process on the processing target road data to obtain target road data; a determination module configured to determine true road data based on the target road data; A generating module configured to generate a road data evaluation report based on the true road data and the evaluation target road data.

[0014] In order to achieve the above object, the present application further proposes a road data evaluation report generating device including a memory, a processor, and a road data evaluation report generating program stored in the memory and executable on the processor, the road data evaluation report generating program being configured to realize the steps of the above-mentioned road data evaluation report generating method.

[0015] In order to achieve the above object, the present application further proposes a storage medium having a road data evaluation report generating program stored therein, which, when executed by a processor, realizes the steps of the above-mentioned road data evaluation report generating method.

[0016] (Beneficial Effects) According to the present application, first, the processing target road data and the evaluation target road data are obtained, then the processing target road data is anonymized to obtain the target road data, then the true road data is determined based on the target road data, and finally, the road data evaluation report is generated based on the true road data and the evaluation target road data. In the prior art, different verification platforms exist for different mass-produced vehicle models, and it is necessary to narrow down the targets of verification for different mass-produced vehicle models using different verification platforms, whereas in the present application, a general-purpose development verification platform is used to compare the obtained true road data with the evaluation target road data, thereby making it possible to accurately obtain the road data evaluation report. [Brief description of the drawings]

[0017] [Figure 1] FIG. 2 is a schematic diagram of the configuration of a road data evaluation report generating device of a hardware driving environment according to a proposed embodiment of the present application. [Diagram 2] 2 is a schematic flow chart of a first embodiment of a road data evaluation report generating method of the present application. [Diagram 3] FIG. 2 is a principle diagram of a data collection true value and POC development verification platform system according to a first embodiment of the road data evaluation report generation method of the present application. [Figure 4] 4 is a schematic flow chart of a second embodiment of a road data evaluation report generating method of the present application. [Diagram 5] FIG. 11 is a principle diagram of a high-precision map collection system according to a second embodiment of the road data evaluation report generation method of the present invention. [Figure 6] 1 is a configuration block diagram of a first embodiment of a road data evaluation report generating device according to the present invention. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0018] The realization of the object, the function features and advantages of the present invention will be further explained in combination with the embodiments with reference to the attached drawings.

[0019] It should be noted that the specific examples described herein are used only to interpret the present application and are not used to limit the present application.

[0020] Please refer to FIG. 1, which is a configuration schematic diagram of a road data evaluation report generating device of a hardware driving environment according to a proposed embodiment of the present application.

[0021] As shown in FIG. 1, the road data evaluation report generating device may include a processor 1001, for example a central processing unit (CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. The communication bus 1002 is configured to realize the connection and communication between these components. The user interface 1003 may include a display and an input means (for example, a keyboard), and preferably, the user interface 1003 may further include a standard wired interface and a wireless interface. The network interface 1004 may optionally include a standard wired interface and a wireless interface (for example, a Wireless-Fidelity (Wi-Fi) interface). The memory 1005 may be a high-speed random access memory (RAM) or a stable non-volatile memory (NVM), for example, a magnetic disk memory. Alternatively, the memory 1005 may be a storage device independent of the processor 1001.

[0022] Those skilled in the art will appreciate that the configuration shown in FIG. 1 does not constitute a limitation on the road data evaluation report generating device, and that the device may include more or fewer components than shown, or may combine some components or have different component arrangements.

[0023] As shown in FIG. 1, the memory 1005 as a kind of storage medium may include an operating system, a network communication module, a user interface module, and a road data evaluation report generating program.

[0024] In the road data evaluation report generating equipment shown in FIG. 1, the network interface 1004 is mainly configured to perform data communication with a network server, and the user interface 1003 is mainly configured to exchange data with a user. The processor 1001 and memory 1005 in the road data evaluation report generating equipment of the present application may be installed within the road data evaluation report generating equipment, and the road data evaluation report generating equipment calls the road data evaluation report generating program stored in the memory 1005 by the processor 1001 to execute the road data evaluation report generating method provided by the embodiment of the present application.

[0025] An embodiment of the present application provides a road data evaluation report generating method. Please refer to Figure 2, which is a schematic flow chart of a first embodiment of the road data evaluation report generating method of the present application.

[0026] In this embodiment, the road data evaluation report generating method includes the following steps.

[0027] In step S10, the processing target road data and the evaluation target road data are obtained.

[0028] The execution subject of this embodiment may be a road data evaluation report generating device having functions of data processing, network communication, program execution, etc. The road data evaluation report generating device may be configured by a data collection true value and Proof of Concept (POC) development verification platform system and a high-precision map collection system, or may be a computer device having other similar functions, and this embodiment is not limited thereto.

[0029] As a processing method for acquiring the road data to be processed and the road data to be evaluated, when a sensor trigger and a time signal command are received, a data collection time signal of the vehicle may be determined in accordance with the trigger and the time signal command, and the road data to be processed and the road data to be evaluated may be acquired in accordance with the data collection time signal.

[0030] The vehicle is equipped with two sets of compound inertial navigation units, which are a true compound inertial navigation unit and an evaluation target compound inertial navigation unit, respectively. The processing target road data may be road data collected by different sensors, including a camera, a laser, a radar, a road-vehicle cooperation, and an ultrasonic wave, among the true system sensors corresponding to the true compound inertial navigation units. The evaluation target road data is road data collected by the evaluation target system sensor 1 and the evaluation target system sensor 2 corresponding to the evaluation target compound inertial navigation unit, where the different sensors, including a camera, a laser, a radar, a road-vehicle cooperation, and an ultrasonic wave, among the evaluation target system sensor 1 and the evaluation target system sensor 2, also include a camera, a laser, a radar, a road-vehicle cooperation, and an ultrasonic wave, among others.

[0031] In order to unify the data collection by the sensors, when the user sets the trigger and timing command of the sensors, the true-value composite inertial navigation unit will generate a corresponding data collection time signal, and the sensors can be started simultaneously according to the data collection time signal to collect data.

[0032] The data collection unit includes a data cleaning / scene index module, a time signal module, a general-purpose I / O port, a motherboard, a bypass (the harness splits into two), and a solid-state drive.

[0033] In a specific implementation, when the true value composite inertial navigation unit generates a corresponding data collection time signal, it needs to send the data collection time signal to the evaluation target composite inertial navigation unit and the data collection unit respectively, and the evaluation target system sensor 1 and the evaluation target system sensor 2 in the evaluation target composite inertial navigation unit collect the evaluation target road data according to the data collection time signal. When the time signal module in the data collection unit receives the data collection time signal sent from the true value composite inertial navigation unit, it sends the data collection time signal to the true value system sensor, and the different sensors in the true value system sensor collect the processing target road data according to the data collection time signal.

[0034] In step S20, anonymization processing is performed on the processing object road data to obtain target road data.

[0035] As a processing method for performing anonymization processing on road data to be processed and obtaining target road data, the anonymization processing may be performed on the road data to be processed in accordance with preset anonymization rules to obtain road anonymized data, road scene information corresponding to the road anonymized data may be determined, and index processing may be performed on the road anonymized data based on the road scene information to obtain target road data.

[0036] The pre-set anonymization rules may be understood as anonymization rules set by the user based on the requirements of the General Data Protection Regulation (GDPR) and the Road Safety Regulation, for example, if a user's facial image is present in the captured image, the user's facial image needs to be blurred.

[0037] In this embodiment, the road data to be processed collected by different sensors of the true value system sensors is sent to a data collection unit, and the data cleaning / scene index module in the data collection unit can perform data cleaning, anonymization, scene indexing, etc. on the road data to be processed, and send the processed road data, i.e., target road data, to a controller for processing, etc.

[0038] In step S30, true road data is determined based on the target road data.

[0039] As a processing method for determining the true road data based on the target road data, first driving control information of the vehicle may be obtained, and the true road data may be determined based on the target road data and the first driving control information.

[0040] In a specific implementation, the first driving control information is control information acquired by a first vehicle electronic control unit, that is, a vehicle electronic control unit (ECU: Electronic Control Unit), through a controller local area network (CAN: Controller Area Network) bus in the true value compound inertial navigation unit, where the true value compound inertial navigation unit has a PPS signal, a serial port, a bus, etc. The first driving control information may be vehicle rotation speed information and position information, etc.

[0041] When the data acquisition unit receives the first driving control information and the target road data acquired by the vehicle ECU via the CAN bus in the true-value composite inertial navigation unit, the data acquisition unit directly generates true-value road data based on the first driving control information and the target road data.

[0042] In step S40, a road data evaluation report is generated based on the true road data and the evaluation target road data.

[0043] As a processing method for generating a road data evaluation report based on true road data and evaluation target road data, second driving control information and a high-precision map for the vehicle may be acquired, and then a road data evaluation report may be generated based on the true road data, the evaluation target road data, the second driving control information, and the high-precision map.

[0044] The second driving control information may be control information collected by a driving assistance domain control unit or an autonomous driving domain control unit, and may be vehicle steering angle information, wheel speed information, vehicle position information, etc.

[0045] In addition, the high-precision map may be a map provided by a high-precision map collection system, and the controller may perform evaluation and verification based on the true road data, the evaluation target road data, the second driving control information, and the high-precision map, and finally generate and display a road data evaluation report.

[0046] Referring to FIG. 3, FIG. 3 is a principle diagram of a data collection true value and POC development verification platform system of a first embodiment of the road data evaluation report generation method of the present application. The data collection true value and POC development verification platform system includes a data collection unit, a true value composite inertial navigation unit, a vehicle ECU, a true value system sensor, an evaluation target composite inertial navigation unit, a controller, a driving assistance domain control unit, an autonomous driving domain control unit, and a high-precision map. The data collection unit includes a data cleaning / scene index module, a time signal module, a general-purpose I / O port, a motherboard, a bypass (the harness is divided into two), and a solid-state drive, etc. The true value composite inertial navigation unit includes a PPS signal (pulse per second), a serial port, and a bus, etc. The true value system sensor includes a camera, a laser, a radar, road-vehicle coordination, and ultrasonic, etc. The evaluation target composite inertial navigation unit includes an evaluation target system sensor 1 and an evaluation target system sensor 2.

[0047] In this embodiment, when the user sets the trigger and time signal command of the sensor, the true value composite inertial navigation unit generates a corresponding data collection time signal and sends the data collection time signal to the evaluation target composite inertial navigation unit and the data collection unit respectively. The evaluation target system sensor 1 and the evaluation target system sensor 2 in the evaluation target composite inertial navigation unit collect the evaluation target road data according to the data collection time signal, and send the evaluation target road data to the controller. When the time signal module in the data collection unit receives the data collection time signal sent from the true value composite inertial navigation unit, it sends the data collection time signal to the true value system sensor, and different sensors of the true value system sensor collect the processing target road data according to the data collection time signal, and send the collected processing target road data to the data collection unit, and the data cleaning / scene index module in the data collection unit performs data cleaning, anonymization, scene index, etc. on the processing target road data, and generates true value road data based on the processed road data, i.e., the target road data and the first driving control information collected by the vehicle ECU, and sends the true value road data to the controller for processing, etc. The controller may perform evaluation and verification based on the true road data, the evaluation target road data, the second driving control information collected by the driving assistance domain control unit or the autonomous driving domain control unit, and the high-precision map, and finally generate and display a road data evaluation report.

[0048] In a specific implementation, the data collection true value and POC development verification platform system supports quantitative comparison evaluation of different POC plans, and can perform real-time and online comparison evaluation of multiple plans. The data collection true value and POC development verification platform system further includes a power supply module. The power supply module can supply power to the data collection unit, the true value system sensor, the constant temperature system and the controller, etc. The data collection unit can further directly display the processed road data, etc.

[0049] In this embodiment, first, the road data to be processed and the road data to be evaluated are obtained, then the road data to be processed is anonymized to obtain the target road data, then the true road data is determined based on the target road data, and finally, a road data evaluation report is generated based on the true road data and the road data to be evaluated. In the prior art, different verification platforms exist for different mass-produced vehicle models, and it is necessary to use different verification platforms to perform targeted verification for different mass-produced vehicle models, whereas in this embodiment, a general-purpose development verification platform is used to compare the obtained true road data with the road data to be evaluated, thereby accurately obtaining the road data evaluation report and improving the user experience.

[0050] Please refer to FIG. 4, which is a schematic flow chart of a second embodiment of the road data evaluation report generating method of the present application.

[0051] According to the above first embodiment, in this embodiment, the step S40 further includes the following steps:

[0052] In step S401, second driving control information and a high-precision map of the vehicle are obtained.

[0053] The second driving control information may be control information collected by a driving assistance domain control unit or an autonomous driving domain control unit, and may be vehicle steering angle information, wheel speed information, vehicle position information, etc.

[0054] The high-precision map may be a map provided by a high-precision map collection system.

[0055] A processing method for acquiring a high-precision map may include acquiring a map information collection time signal, collecting map data to be processed in accordance with the information collection time signal, acquiring vehicle control information of the vehicle, determining map raw data based on the vehicle control information and the map data to be processed, and finally generating a high-precision map based on the map raw data.

[0056] Referring to FIG. 5, FIG. 5 is a principle diagram of a high-precision map collection system according to a second embodiment of the road data evaluation report generation method of the present application. The high-precision map collection system includes a map true system sensor, a map data collection subunit, a map true composite inertial navigation subunit, a chassis, and a high-precision map creation unit. Here, the map true system sensor includes a camera, a laser, a radar, road-vehicle coordination, and ultrasonic waves. The map data collection subunit includes a map controller, a general-purpose I / O port, a time signal, and a solid state. The map true composite inertial navigation subunit includes a PPS signal, a serial port, and a bus. The high-precision map collection system also supports the creation and update of high-precision maps (incremental method) in offline and online SLAM methods.

[0057] In a specific implementation, an information collection time signal of the map may be determined based on the map true value composite inertial navigation subunit, and the information collection time signal may be sent to the map data collection subunit. The time signal module in the map data collection subunit can receive the information collection time signal and send the information collection time signal to the map true value system sensor. The map true value system sensor collects map data to be processed according to the information collection time signal and sends the map data to be processed to the map data collection subunit, the chassis can collect chassis information of the vehicle and then send the chassis information to the map data collection subunit, and the controller in the map data collection subunit determines map raw data based on the chassis information and the map data to be processed, sends the map raw data to the high-precision map creation unit, and causes the high-precision map creation unit to create a high-precision map based on the map raw data.

[0058] The high precision map collection system further includes a power supply module, which can, for example, supply power to the map data collection sub-unit, the map truth system sensor, and the constant temperature system.

[0059] In step S402, a road data evaluation report is generated based on the true road data, the evaluation target road data, the second driving control information, and the high precision map.

[0060] In a specific implementation, true road data, evaluation target road data, and second driving control information can be obtained based on the data collection true value and POC development and verification platform system. A high-precision map can be obtained based on the high-precision map collection system, and the high-precision map creation unit in the high-precision map collection system needs to send the generated high-precision map to the controller in the data collection true value and POC development and verification platform system, and make the controller in the data collection true value and POC development and verification platform system generate a road data evaluation report based on the true road data, evaluation target road data, second driving control information, and high-precision map, etc.

[0061] In this embodiment, first obtain the second driving control information of the vehicle and the high-precision map, and then generate a road data evaluation report based on the true road data, the evaluation target road data, the second driving control information, and the high-precision map. On the one hand, according to the prior art, it is necessary to artificially obtain the evaluation target road data and artificially analyze the evaluation target road data. In this embodiment, the controller in the data collection true value and POC development verification platform system performs evaluation and verification on the true road data, the evaluation target road data, the second driving control information, and the high-precision map to obtain an accurate road data evaluation report.

[0062] Moreover, an embodiment of the present application further proposes a storage medium, the storage medium storing a road data evaluation report generating program, which, when executed by a processor, realizes the steps of the above-mentioned road data evaluation report generating method.

[0063] Please refer to FIG. 6. FIG. 6 is a configuration block diagram of a first embodiment of a road data evaluation report generating device of the present application.

[0064] As shown in FIG. 6, the road data evaluation report generating device proposed in the embodiment of the present application includes: The acquisition module 6001 is configured to acquire the road data to be processed and the road data to be evaluated.

[0065] As a processing method for acquiring the road data to be processed and the road data to be evaluated, when a sensor trigger and a time signal command are received, a data collection time signal of the vehicle may be determined in accordance with the trigger and the time signal command, and the road data to be processed and the road data to be evaluated may be acquired in accordance with the data collection time signal.

[0066] The vehicle is equipped with two sets of compound inertial navigation units, which are a true compound inertial navigation unit and an evaluation target compound inertial navigation unit, respectively. The processing target road data may be road data collected by different sensors, including a camera, a laser, a radar, a road-vehicle cooperation, and an ultrasonic wave, among the true system sensors corresponding to the true compound inertial navigation units. The evaluation target road data is road data collected by the evaluation target system sensor 1 and the evaluation target system sensor 2 corresponding to the evaluation target compound inertial navigation unit, where the different sensors, including a camera, a laser, a radar, a road-vehicle cooperation, and an ultrasonic wave, among the evaluation target system sensor 1 and the evaluation target system sensor 2, also include a camera, a laser, a radar, a road-vehicle cooperation, and an ultrasonic wave, among others.

[0067] In order to unify the data collection by the sensors, when the user sets the trigger and timing command of the sensors, the true-value composite inertial navigation unit will generate a corresponding data collection time signal, and the sensors can be started simultaneously according to the data collection time signal to collect data.

[0068] The data collection unit includes a data cleaning / scene index module, a time signal module, a general-purpose I / O port, a motherboard, a bypass (the harness splits into two), and a solid-state drive.

[0069] In a specific implementation, when the true value composite inertial navigation unit generates a corresponding data collection time signal, it needs to send the data collection time signal to the evaluation target composite inertial navigation unit and the data collection unit respectively, and the evaluation target system sensor 1 and the evaluation target system sensor 2 in the evaluation target composite inertial navigation unit collect the evaluation target road data according to the data collection time signal. When the time signal module in the data collection unit receives the data collection time signal sent from the true value composite inertial navigation unit, it sends the data collection time signal to the true value system sensor, and the different sensors in the true value system sensor collect the processing target road data according to the data collection time signal.

[0070] The processing module 6002 is configured to perform anonymization processing on the processing subject road data to obtain target road data.

[0071] As a processing method for performing anonymization processing on road data to be processed and obtaining target road data, the anonymization processing may be performed on the road data to be processed in accordance with preset anonymization rules to obtain road anonymized data, road scene information corresponding to the road anonymized data may be determined, and index processing may be performed on the road anonymized data based on the road scene information to obtain target road data.

[0072] The pre-set anonymization rules may be understood as anonymization rules set by the user based on the requirements of GDPR and road safety regulations, for example, if a user's facial image is present in the captured image, the user's facial image needs to be blurred.

[0073] In this embodiment, the road data to be processed collected by different sensors of the true value system sensors is sent to a data collection unit, and the data cleaning / scene index module in the data collection unit can perform data cleaning, anonymization, scene indexing, etc. on the road data to be processed, and send the processed road data, i.e., target road data, to a controller for processing, etc.

[0074] The determining module 6003 is configured to determine true road data based on the target road data.

[0075] As a processing method for determining the true road data based on the target road data, first driving control information of the vehicle may be obtained, and the true road data may be determined based on the target road data and the first driving control information.

[0076] In a specific implementation, the first driving control information is control information obtained by the first vehicle electronic control unit, that is, the vehicle ECU, through the CAN bus in the true-value composite inertial navigation unit, where the true-value composite inertial navigation unit has a PPS signal, a serial port, a bus, etc. The first driving control information may be the rotation speed information and position information of the vehicle, etc.

[0077] When the data acquisition unit receives the first driving control information and the target road data acquired by the vehicle ECU via the CAN bus in the true-value composite inertial navigation unit, the data acquisition unit directly generates true-value road data based on the first driving control information and the target road data.

[0078] The generating module 6004 is configured to generate a road data evaluation report based on the true road data and the evaluation target road data.

[0079] As a processing method for generating a road data evaluation report based on true road data and evaluation target road data, second driving control information and a high-precision map for the vehicle may be acquired, and then a road data evaluation report may be generated based on the true road data, the evaluation target road data, the second driving control information, and the high-precision map.

[0080] The second driving control information may be control information collected by a driving assistance domain control unit or an autonomous driving domain control unit, and may be vehicle steering angle information, wheel speed information, vehicle position information, etc.

[0081] In addition, the high-precision map may be a map provided by a high-precision map collection system, and the controller may perform evaluation and verification based on the true road data, the evaluation target road data, the second driving control information, and the high-precision map, and finally generate and display a road data evaluation report.

[0082] Referring to FIG. 3, FIG. 3 is a principle diagram of a data collection true value and POC development verification platform system of a first embodiment of the road data evaluation report generation method of the present application. The data collection true value and POC development verification platform system includes a data collection unit, a true value composite inertial navigation unit, a vehicle ECU, a true value system sensor, an evaluation target composite inertial navigation unit, a controller, a driving assistance domain control unit, an autonomous driving domain control unit, and a high-precision map. The data collection unit includes a data cleaning / scene index module, a time signal module, a general-purpose I / O port, a motherboard, a bypass (the harness is divided into two), and a solid-state drive, etc. The true value composite inertial navigation unit includes a PPS signal (pulse per second), a serial port, and a bus, etc. The true value system sensor includes a camera, a laser, a radar, road-vehicle coordination, and ultrasonic, etc. The evaluation target composite inertial navigation unit includes an evaluation target system sensor 1 and an evaluation target system sensor 2.

[0083] In this embodiment, when the user sets the trigger and time signal command of the sensor, the true value composite inertial navigation unit generates a corresponding data collection time signal and sends the data collection time signal to the evaluation target composite inertial navigation unit and the data collection unit respectively. The evaluation target system sensor 1 and the evaluation target system sensor 2 in the evaluation target composite inertial navigation unit collect the evaluation target road data according to the data collection time signal, and send the evaluation target road data to the controller. When the time signal module in the data collection unit receives the data collection time signal sent from the true value composite inertial navigation unit, it sends the data collection time signal to the true value system sensor, and different sensors of the true value system sensor collect the processing target road data according to the data collection time signal, and send the collected processing target road data to the data collection unit, and the data cleaning / scene index module in the data collection unit performs data cleaning, anonymization, scene index, etc. on the processing target road data, and generates true value road data based on the processed road data, i.e., the target road data and the first driving control information collected by the vehicle ECU, and sends the true value road data to the controller for processing, etc. The controller may perform evaluation and verification based on the true road data, the evaluation target road data, the second driving control information collected by the driving assistance domain control unit or the autonomous driving domain control unit, and the high-precision map, and finally generate and display a road data evaluation report.

[0084] In a specific implementation, the data collection true value and POC development verification platform system supports quantitative comparison evaluation of different POC plans, and can perform real-time and online comparison evaluation of multiple plans. The data collection true value and POC development verification platform system further includes a power supply module. The power supply module can supply power to the data collection unit, the true value system sensor, the constant temperature system and the controller, etc. The data collection unit can further directly display the processed road data, etc.

[0085] In this embodiment, first, the road data to be processed and the road data to be evaluated are obtained, then the road data to be processed is anonymized to obtain the target road data, then the true road data is determined based on the target road data, and finally, a road data evaluation report is generated based on the true road data and the road data to be evaluated. In the prior art, different verification platforms exist for different mass-produced vehicle models, and it is necessary to use different verification platforms to perform targeted verification for different mass-produced vehicle models, whereas in this embodiment, a general-purpose development verification platform is used to compare the obtained true road data with the road data to be evaluated, thereby accurately obtaining the road data evaluation report and improving the user experience.

[0086] Other examples or specific embodiments of the road data evaluation report generating device of the present application may refer to the examples of the above-mentioned methods, and description thereof will be omitted here.

[0087] It is noted that, as used herein, the terms "comprise," "include," "includes," or any other variation thereof, are intended to cover a non-exclusive inclusion such that a process, method, article, or system of a set of elements includes not only those elements, but also other elements not expressly listed or that are inherent to such process, method, article, or system. In the absence of further limitations, an element qualified by the phrase "comprises a..." does not exclude the presence of other identical elements in the process, method, article, or system that includes the element.

[0088] The numbers of the above embodiments of the present invention are for illustrative purposes only and do not indicate superiority or inferiority of the embodiments.

[0089] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be realized by adding a required general-purpose hardware platform to software (of course, hardware can be used, but in many cases the former is a better implementation method). Based on this understanding, the technical solution of the present application, in its essence or in part contributing to the prior art, can be embodied in the form of a software product. The computer software product can be stored in a storage medium (e.g., read-only memory / random access memory, magnetic disk, optical disk) and includes several instructions for causing a terminal device (which may be a mobile phone, computer, server, or network device, etc.) to execute the methods described in each embodiment of the present application.

[0090] The above are merely preferred embodiments of the present application, and do not limit the scope of protection of the present application. Any equivalent structure or equivalent flow conversion made by utilizing the contents of the specification and drawings of the present application, or directly or indirectly applied to other related technical fields, are also included in the scope of protection of the patent of the present application for the same reason.

Claims

1. A road data evaluation report generating method, comprising: A step of acquiring road data to be processed and road data to be evaluated; performing an anonymization process on the processing target road data to obtain target road data; determining true road data based on the target road data; generating a road data evaluation report based on the true road data and the evaluation target road data; The method includes:

2. The step of acquiring the processing target road data and the evaluation target road data includes: determining a vehicle data collection time signal in response to a sensor trigger and a time command received; acquiring the processing target road data and the evaluation target road data in response to the data collection time signal; 2. The method of claim 1, comprising:

3. The step of performing an anonymization process on the processing target road data to obtain target road data includes: performing an anonymization process on the target road data in accordance with a preset anonymization rule to obtain anonymized road data; determining road scene information corresponding to the road anonymization data; performing indexing on the road anonymized data based on the road scene information to obtain the target road data; The method according to claim 1 or 2, comprising:

4. The step of determining true road data based on the target road data comprises: Obtaining first driving control information of a vehicle; determining true road data based on the target road data and the first driving control information; The method according to claim 1 or 2, comprising:

5. The step of generating a road data evaluation report based on the true road data and the evaluation target road data includes: Obtaining second driving control information and a high-precision map of the vehicle; generating the road data evaluation report based on the true road data, the evaluation target road data, the second driving control information, and the high precision map; 2. The method of claim 1, comprising:

6. The step of acquiring a high-precision map includes: acquiring a map information collection time signal; collecting map data to be processed in response to the information collection time signal; generating a high-precision map based on the map data to be processed; 6. The method of claim 5, comprising:

7. The step of generating a high precision map based on the map data to be processed includes: obtaining vehicle control information for the vehicle; determining map raw data based on the vehicle control information and the target map data; generating a high-precision map based on the map raw data; 7. The method of claim 6, comprising:

8. A road data evaluation report generating device, comprising: an acquisition module configured to acquire processing target road data and evaluation target road data; a processing module configured to perform an anonymization process on the processing target road data to obtain target road data; a determination module configured to determine true road data based on the target road data; A generating module configured to generate a road data evaluation report based on the true road data and the evaluation target road data; A road data evaluation report generating device comprising:

9. A road data evaluation report generating device including a memory, a processor, and a road data evaluation report generating program stored in the memory and executable on the processor, The road data evaluation report generating program is configured to realize the steps of the road data evaluation report generating method according to any one of claims 1 to 7. Road data evaluation report generating equipment.

10. A road data evaluation report generating program is stored, and when the road data evaluation report generating program is executed by a processor, the steps of the road data evaluation report generating method according to any one of claims 1 to 7 are realized. storage medium.

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