Data acquisition method and system considering driving scene and road condition information

Abstract

The invention discloses a data acquisition method and system considering driving scene and road condition information, and belongs to the technical field of vehicle data acquisition, and the method comprises the steps: obtaining vehicle dynamics data and information of a road environment where a vehicle is located; determining a driving scene of the vehicle according to the vehicle dynamics data; determining road condition information of the vehicle according to the road environment information of the vehicle; determining target data to be collected by the vehicle according to the driving scene of the vehicle; determining a vehicle data acquisition strategy according to the driving scene of the vehicle and the road condition information of the vehicle; and controlling the vehicle to perform data acquisition on target data to be acquired by the vehicle based on the determined vehicle data acquisition strategy. And the data acquisition requirements of different driving scenes and different road conditions can be met.

Description

Technical Field

[0001] The present application relates to the technical field of automobile data collection, and in particular to a data collection method and system that considers driving scenarios and road condition information. Background Art

[0002] During the intelligent driving process, intelligent driving vehicles need to collect various data, and then formulate corresponding driving strategies based on the collected data. Finally, the vehicle is intelligently controlled according to the formulated driving strategy. Therefore, the accuracy and timeliness of data collection have a great impact on vehicle intelligent driving.

[0003] Currently, there is a method for formulating data collection strategies based on the road condition information of the vehicle; however, this method does not take the vehicle driving scenario into consideration when formulating the data collection strategy; as a result, the accuracy and timeliness of the data collection cannot be guaranteed when the data collection is finally formulated, which affects the vehicle's intelligent driving strategy. Summary of the invention

[0004] The embodiments of the present application provide a data collection method and system that take into account driving scenarios and road condition information, thereby ensuring that the vehicle collects data in a timely and accurate manner under any driving scenario and road condition information.

[0005] On the one hand, a data collection method considering driving scenarios and road condition information is provided, including:

[0006] Obtain vehicle dynamics data and road environment information of the vehicle;

[0007] Determine the driving scenario of the vehicle based on vehicle dynamics data;

[0008] Determine the road condition information of the vehicle according to the road environment information of the vehicle;

[0009] Determine the target data to be collected by the vehicle based on the vehicle's driving scenario;

[0010] Determine the vehicle data collection strategy based on the vehicle's driving scenario and road conditions;

[0011] The vehicle is controlled to collect target data to be collected by the vehicle based on the determined vehicle data collection strategy.

[0012] In a possible implementation manner, the target data to be collected by the vehicle is determined according to a preset relationship between the driving scene and the target data;

[0013] The vehicle data collection strategy is determined based on the preset relationship between the vehicle's driving scenario and the road condition information it is in and the vehicle data collection strategy.

[0014] In a possible implementation, existing dynamic data of the vehicle is obtained;

[0015] Cluster the existing kinetic data to obtain multiple types of kinetic data and the cluster center of each type of kinetic data;

[0016] Each type of dynamic data is regarded as a driving scenario, the similarity between the vehicle dynamic data and each driving scenario is calculated, and the driving scenario with the greatest similarity is selected as the vehicle's driving scenario.

[0017] In one possible implementation, a fuzzy C-means clustering algorithm is used to cluster the existing kinetic data.

[0018] In one possible implementation, the vehicle data collection strategy includes data collection frequency, collection accuracy, and data collection range.

[0019] In one possible implementation, the data collected by the vehicle is transmitted to a preset storage address for storage.

[0020] On the one hand, a data collection system considering driving scenarios and road condition information is provided, including:

[0021] An information acquisition unit, used to acquire vehicle dynamics data and road environment information of the vehicle;

[0022] A driving scenario determination unit, used to determine a driving scenario of the vehicle based on vehicle dynamics data;

[0023] A road condition information determination unit, used to determine the road condition information of the vehicle according to the road environment information of the vehicle;

[0024] A target data determination unit, used to determine target data to be collected by the vehicle according to the driving scenario of the vehicle;

[0025] A collection strategy determination unit, used to determine a vehicle data collection strategy based on the vehicle's driving scenario and road condition information;

[0026] The data collection unit is used to control the vehicle to collect target data to be collected by the vehicle based on a determined vehicle data collection strategy.

[0027] In one aspect, a computer device is provided, the device comprising:

[0028] a processor adapted to execute a computer program;

[0029] A computer-readable storage medium, wherein a computer program is stored in the computer-readable storage medium, and when the computer program is executed by the processor, a data collection method considering driving scenarios and road condition information proposed in the first aspect is implemented.

[0030] On the one hand, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores a computer program, and the computer program is suitable for being loaded by a processor and executing a data collection method considering driving scenarios and road condition information proposed in the first aspect.

[0031] On the one hand, a computer program product is provided, which includes a computer program. When the computer program is executed by a processor, it implements a data collection method that considers driving scenarios and road condition information proposed in the first aspect.

[0032] Compared with the prior art, the present invention has the following beneficial effects:

[0033] The present application provides a data collection method and system that considers driving scenarios and road condition information. The method acquires vehicle dynamics data and the road environment information of the vehicle in real time during the intelligent driving process of the vehicle; determines the driving scenario of the vehicle based on the vehicle dynamics data; determines the road condition information of the vehicle based on the road environment information of the vehicle; determines the target data to be collected by the vehicle based on the driving scenario of the vehicle; determines the vehicle data collection strategy based on the driving scenario and the road condition information of the vehicle; and controls the vehicle to collect the target data to be collected by the vehicle based on the determined vehicle data collection strategy. This ensures that the data collected by the vehicle can meet the road condition requirements and the driving scenario, and ensures that the vehicle collects data in a timely and accurate manner under any driving scenario and road condition information. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] The drawings in the specification, which constitute a part of the present application, are used to provide further understanding of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute improper limitations on the present application.

[0035] Figure 1 The present invention is a flow chart of a data collection method that takes into account driving scenarios and road condition information disclosed in an embodiment. DETAILED DESCRIPTION

[0036] In order to enable those skilled in the art to better understand the technical methods in this application, some embodiments of this application will be described below in conjunction with the accompanying drawings. It should be understood that, unless otherwise defined, all technical terms used in the embodiments of this application have the same meaning as those generally understood by those skilled in the art, and are only used to explain the embodiments of this application, and are not intended to limit this application.

[0037] A data collection method that takes into account driving scenarios and road conditions is provided in an embodiment of the present application and is applied to an intelligent driving vehicle. The vehicle is equipped with a variety of sensors such as radars and cameras, and various vehicle driving data and surrounding road environment data are collected through the sensors. An intelligent driving strategy is formulated based on the vehicle driving data and the surrounding road environment data.

[0038] Among them, sensors include vehicle sensors and environmental sensors; vehicle sensors include but are not limited to acceleration sensors, speed sensors, engine speed sensors, throttle opening sensors, etc., which are used to monitor the dynamic parameters of the vehicle in real time. Environmental sensors such as GPS positioning, cameras, radars, etc. are used to obtain road environment information around the vehicle.

[0039] The vehicle is also equipped with a data acquisition unit that uses an integrated high-performance data acquisition card to simultaneously receive and process data from multiple sensors. It supports high-speed data transmission and real-time data preprocessing functions, such as data filtering and outlier removal.

[0040] At present, when collecting data through various sensors, either a fixed sampling frequency and accuracy are used for data collection, or the sampling frequency and accuracy are adjusted according to the road conditions. However, neither of them considers that different driving scenarios have different requirements for data collection modes. For example, in a sudden acceleration scenario, the vehicle state changes rapidly, requiring the data of each sensor to be highly synchronized so that subsequent data analysis and processing can accurately reflect the actual state of the vehicle. Data collection in vehicle sudden acceleration scenarios requires the use of multiple sensors, such as accelerometers, gyroscopes, GPS, etc. The data types, formats and accuracy generated by these sensors are different. How to ensure that these sensor data can be collected synchronously and accurately is a challenge.

[0041] A data collection method that takes into account driving scenarios and road condition information provided in an embodiment of the present application is described in detail.

[0042] like Figure 1 As shown, an embodiment of the present application provides a data collection method that takes into account driving scenarios and road condition information, including:

[0043] S1: Acquire vehicle dynamics data and road environment information of the vehicle;

[0044] S2: Determine the driving scenario of the vehicle based on the vehicle dynamics data;

[0045] S3: Determine the road condition information of the vehicle according to the road environment information of the vehicle;

[0046] S4: Determine the target data to be collected by the vehicle according to the driving scenario of the vehicle;

[0047] S5: Determine the vehicle data collection strategy based on the vehicle's driving scenario and road condition information;

[0048] S6: Control the vehicle to collect target data to be collected by the vehicle based on the determined vehicle data collection strategy.

[0049] The embodiment of the present application provides a data collection method that takes driving scenarios and road condition information into consideration. During the intelligent driving process of the vehicle, the vehicle dynamics data and the road environment information of the vehicle are obtained in real time; the driving scenario of the vehicle is determined based on the vehicle dynamics data; the road condition information of the vehicle is determined based on the road environment information of the vehicle; the target data to be collected by the vehicle is determined based on the driving scenario of the vehicle; the vehicle data collection strategy is determined based on the driving scenario of the vehicle and the road condition information; the vehicle is controlled to collect the target data to be collected by the vehicle based on the determined vehicle data collection strategy. It ensures that the data collected by the vehicle can meet the road condition requirements and the driving scenario, and ensures that the vehicle can collect data in a timely and accurate manner under any driving scenario and road condition information, and can flexibly adapt to various road conditions and driving scenarios.

[0050] The driving scenarios mentioned in the embodiments of the present application include sudden acceleration, sudden braking, and driving on curves.

[0051] The vehicle dynamics data obtained include vehicle acceleration, speed, engine speed and throttle opening.

[0052] The acquired road environment information includes vehicle location information, traffic flow and road condition data of the vehicle's environment.

[0053] The determined traffic information includes traffic volume, road conditions, weather conditions, etc.

[0054] This embodiment uses a clustering algorithm to determine the driving scene of the vehicle based on the vehicle dynamics data. Specifically:

[0055] Obtain the existing dynamic data of the vehicle;

[0056] Cluster the existing kinetic data to obtain multiple types of kinetic data and the cluster center of each type of kinetic data;

[0057] Each type of dynamic data is regarded as a driving scenario, the similarity between the vehicle dynamic data and each driving scenario is calculated, and the driving scenario with the greatest similarity is selected as the vehicle's driving scenario.

[0058] In one possible implementation, a fuzzy C-means clustering algorithm is used to cluster the existing kinetic data.

[0059] Before clustering the kinetic data, the embodiment of the present application first preprocesses the acquired kinetic data, including denoising, filtering, and calibration, to improve the accuracy and reliability of the data.

[0060] The process of clustering the existing kinetic data using the fuzzy C-means clustering algorithm is as follows:

[0061] (1) Data preprocessing:

[0062] Collect and organize the data to be clustered to ensure the accuracy and completeness of the data.

[0063] The data are standardized to eliminate the influence of different dimensions on data clustering.

[0064] (2) Initialization parameters:

[0065] Determine the number of clusters C, that is, how many clusters you want to divide the data into. Initialize the membership matrix U, whose element u_ij represents the membership of data point i to cluster j, satisfying u_ij∈[0,1] and the sum of the membership of each data point is 1. Set other parameters of the algorithm, such as the number of iterations, convergence conditions, etc.

[0066] (3) Calculate cluster centers:

[0067] Based on the membership matrix U and the data points, the center of each cluster is calculated. The cluster center is the weighted average of all data points in each cluster, with the weight being the corresponding membership degree.

[0068] (4) Update the membership matrix:

[0069] According to the new cluster centers and data points, the membership matrix U is recalculated. The membership matrix U is usually updated based on the distance from the data point to the cluster center and the fuzzy coefficient m.

[0070] (5) Iterative Optimization:

[0071] Repeat (3) and (4) until the upper limit of the number of iterations is reached or the objective function (such as the weighted sum of squares of data points within the cluster) converges to a minimum. In each iteration, the convergence of the algorithm is checked to avoid falling into a local optimal solution.

[0072] (6) Result analysis:

[0073] According to the final membership matrix U and cluster center, determine the cluster to which each data point belongs. Analyze and interpret the clustering results to extract useful information and knowledge.

[0074] In order to determine the target data to be collected by the vehicle and the vehicle data collection strategy according to the driving scene and road condition information, the embodiment of the present application presets the target data to be collected by the vehicle for each driving scene in advance, and presets the vehicle data collection strategy for each driving scene and road condition information. Among them, the vehicle data collection strategy includes data collection frequency, collection accuracy and data collection range.

[0075] Set thresholds for data collection frequency for different road conditions. For example, in a sudden acceleration scenario, set a higher collection frequency to capture instantaneous acceleration changes. Adjust the data collection frequency in real time according to changes in road conditions to ensure that enough data points can be captured in key scenarios. Analyze the accuracy requirements of the target data collection according to the needs of the driving scenario. Optimize the accuracy of data collection by adjusting parameters such as sensor resolution and sampling rate. During the data collection process, regularly calibrate the sensor to ensure the long-term stability and accuracy of the data. Determine the spatial and temporal scope of data collection based on the needs of the application scenario. In key scenarios, dynamically expand the scope of data collection as needed to capture more relevant information.

[0076] Exemplarily, the target data to be collected by the vehicle corresponding to driving scene A is a;

[0077] The target data to be collected by the vehicle corresponding to driving scenario B is b;

[0078] The target data to be collected by the vehicle corresponding to driving scenario C is c; ......

[0080] The target data to be collected by the vehicle corresponding to driving scene N is n.

[0081] The vehicle data collection strategy corresponding to driving scenario A and road condition information ① is: collection frequency a', collection range b', and collection accuracy c';

[0082] The vehicle data collection strategy corresponding to driving scenario A and road condition information ② is: collection frequency a”, collection range b”, and collection accuracy c”; ......

[0084] Driving scenario N and road condition information The corresponding vehicle data collection strategy is: collection frequency a" .. ', collection range b" .. ', collection accuracy c" .. '.

[0085] After determining the vehicle's driving scenario and the road condition information it is in, determine the target data to be collected by the vehicle based on the preset relationship between the driving scenario and the target data; determine the vehicle data collection strategy based on the preset relationship between the vehicle's driving scenario and the road condition information it is in and the vehicle data collection strategy.

[0086] The embodiment of the present application is based on a determined vehicle data collection strategy. After collecting target data to be collected from the vehicle, the data collected from the vehicle is transmitted to a preset storage address for storage.

[0087] An embodiment of the present application provides a data collection method that takes driving scenarios and road condition information into consideration. The target data and data collection strategy to be collected by the vehicle are determined by the vehicle's driving scenario and the road condition information. When the target data is collected using the data collection strategy, the collected data obtained can adapt to both the driving requirements of the current driving scenario and the driving requirements of the current road condition, thereby ensuring the safety and reliability of intelligent driving.

[0088] Based on the above embodiments, the present application also provides a data collection system that takes into account driving scenarios and road condition information, including:

[0089] An information acquisition unit, used to acquire vehicle dynamics data and road environment information of the vehicle;

[0090] A driving scenario determination unit, used to determine a driving scenario of the vehicle based on vehicle dynamics data;

[0091] A road condition information determination unit, used to determine the road condition information of the vehicle according to the road environment information of the vehicle;

[0092] A target data determination unit, used to determine target data to be collected by the vehicle according to the driving scenario of the vehicle;

[0093] A collection strategy determination unit, used to determine a vehicle data collection strategy based on the vehicle's driving scenario and road condition information;

[0094] The data collection unit is used to control the vehicle to collect target data to be collected by the vehicle based on a determined vehicle data collection strategy.

[0095] Based on the above embodiment, the embodiment of the present application further provides a computer device, which includes:

[0096] a processor adapted to execute a computer program;

[0097] A computer-readable storage medium, wherein a computer program is stored in the computer-readable storage medium. When the computer program is executed by the processor, a data collection method considering driving scenarios and road condition information disclosed in Example 1 is implemented.

[0098] Based on the above embodiments, an embodiment of the present application also provides a computer-readable storage medium, which stores a computer program. The computer program is suitable for being loaded by a processor and executing a data collection method that considers driving scenarios and road conditions information disclosed in Embodiment 1.

[0099] On the basis of the above embodiments, the embodiments of the present application further provide a computer program product, which includes a computer program. When the computer program is executed by a processor, it implements a data collection method disclosed in Embodiment 1 that takes into account driving scenarios and road condition information.

[0100] The method disclosed in the embodiment can be directly embodied as a hardware processor, or a combination of hardware and software modules in the processor. The software module can be located in a mature storage medium in the field such as a random access memory, a flash memory, a read-only memory, a programmable read-only memory, or an electrically erasable programmable memory, a register, etc. The storage medium is located in the memory, and the processor reads the information in the memory and completes the steps of the above method in combination with its hardware. To avoid repetition, it will not be described in detail here.

[0101] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with this embodiment can be implemented in electronic hardware or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0102] Although the above describes the specific implementation mode of the present invention in conjunction with the accompanying drawings, it is not intended to limit the scope of protection of the present invention. Those skilled in the art should understand that various modifications or variations that can be made by those skilled in the art on the basis of the technical solution of the present invention without creative work are still within the scope of protection of the present invention.

Claims

1. A data collection method considering driving scenarios and road condition information, characterized in that: include: Obtain vehicle dynamics data and road environment information of the vehicle; Determine the driving scenario of the vehicle based on vehicle dynamics data; Determine the road condition information of the vehicle according to the road environment information of the vehicle; Determine the target data to be collected by the vehicle based on the vehicle's driving scenario; Determine the vehicle data collection strategy based on the vehicle's driving scenario and road conditions; The vehicle is controlled to collect target data to be collected by the vehicle based on the determined vehicle data collection strategy.

2. A data collection method considering driving scenarios and road condition information as claimed in claim 1, characterized in that: Determine the target data to be collected by the vehicle based on the preset relationship between the driving scenario and the target data; The vehicle data collection strategy is determined based on the preset relationship between the vehicle's driving scenario and the road condition information it is in and the vehicle data collection strategy.

3. The data collection method considering driving scenarios and road condition information as claimed in claim 1, characterized in that: Obtain the existing dynamic data of the vehicle; Cluster the existing kinetic data to obtain multiple types of kinetic data and the cluster center of each type of kinetic data; Each type of dynamic data is regarded as a driving scenario, the similarity between the vehicle dynamic data and each driving scenario is calculated, and the driving scenario with the greatest similarity is selected as the vehicle's driving scenario.

4. A data collection method considering driving scenarios and road condition information as claimed in claim 3, characterized in that: The fuzzy C-means clustering algorithm was used to cluster the existing kinetic data.

5. The data collection method considering driving scenarios and road condition information as claimed in claim 1, characterized in that: Vehicle data collection strategies include data collection frequency, collection accuracy and data collection scope.

6. The data collection method considering driving scenarios and road condition information as claimed in claim 1, characterized in that: The data collected by the vehicle is transferred to a preset storage address for storage.

7. A data collection system that takes into account driving scenarios and road condition information, characterized in that: include: An information acquisition unit, used to acquire vehicle dynamics data and road environment information of the vehicle; A driving scenario determination unit, used to determine a driving scenario of the vehicle based on vehicle dynamics data; A road condition information determination unit, used to determine the road condition information of the vehicle according to the road environment information of the vehicle; A target data determination unit, used to determine target data to be collected by the vehicle according to the driving scenario of the vehicle; A collection strategy determination unit, used to determine a vehicle data collection strategy based on the vehicle's driving scenario and road condition information; The data collection unit is used to control the vehicle to collect target data to be collected by the vehicle based on a determined vehicle data collection strategy.

8. An electronic device, characterized in that: The device comprises: a processor adapted to execute a computer program; A computer-readable storage medium, wherein a computer program is stored in the computer-readable storage medium, and when the computer program is executed by the processor, a data collection method considering driving scenarios and road condition information as described in any one of claims 1 to 6 is implemented.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and the computer program is suitable for being loaded by a processor and executing a data collection method considering driving scenarios and road condition information as described in any one of claims 1-6.

10. A computer program product, characterized in that The computer program product includes a computer program, and when the computer program is executed by a processor, it implements the data collection method considering driving scenarios and road condition information as described in any one of claims 1-6.

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