Test analysis method for automatic driving system
A technology for automatic driving and system testing, which is applied in vehicle testing, neural learning methods, machine/structural component testing, etc., and can solve problems such as large amount of test data
Patent Information
- Authority / Receiving Office
- CN · China
- Current Assignee / Owner
- Publication Date
- 2021-07-06
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Figure 1
Abstract
Description
technical field
[0001] The invention relates to a test and analysis method for data required by an automatic driving vehicle, and belongs to the technical field of automatic driving vehicle testing. Background technique
[0002] The testing technology of self-driving cars is one of its core technologies, which is of great significance to the performance improvement of self-driving cars. For complex autonomous vehicle application scenarios, the amount of test data involved is huge, and traditional automotive test analysis methods are difficult to meet its needs. Therefore, methods for automatic processing and analysis of large amounts of data in different scenarios of autonomous driving are current research hotspots. The automated testing and analysis of self-driving cars mainly focuses on two aspects: the first is how to efficiently obtain data of different working conditions and the establishment of a scene database; the second is how to automatically process and analyze ma...
Examples
Embodiment Construction
[0033] The method of the present invention will be further described in detail below in conjunction with the accompanying drawings. figure 1 For the overall process of the present invention, as shown in the figure, the main steps of the automated testing method provided by this system are as follows:
[0034] Step S1: Load the data to be evaluated, specify the evaluation indicators and evaluation scenarios required for evaluation; load the standard scene data according to the evaluation scenarios as the real value data.
[0035] This step obtains the evaluation indicators and evaluation scenarios to be evaluated from the input terminal, and loads the data to be evaluated.
[0036] Among them, the evaluation indicators include, for example, the position accuracy and speed accuracy of the detection target, the position accuracy of the vehicle body, the speed accuracy, and the rate of change of horizontal and vertical acceleration;
[0037] The data to be evaluated defines a uni...