A method and device for determining an automatic driving test scene
A test scenario, autonomous driving technology, applied in the field of electronic equipment and storage media, devices, and determination methods of autonomous driving test scenarios, which can solve problems such as lack of pertinence of autonomous driving algorithms
Active Publication Date: 2021-10-12
北京赛目科技股份有限公司
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[0003] In the prior art, a simple random sampling Monte Carlo simulation method is provided to collect sample points, but if you want to collect scene combinations where the automatic driving algorithm fails through the Monte Carlo method, you need a large number of sample points In addition, such a sampling method lacks pertinence to the automatic driving algorithm, so a method for determining the automatic driving test scene is needed, which can specifically determine the failure scene of the automatic driving algorithm
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[0032] In order to make the purpose, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. It should be understood that the technical solutions in the embodiments of the present application The drawings are only for the purpose of illustration and description, and are not used to limit the protection scope of the present application. Additionally, it should be understood that the schematic drawings are not drawn to scale. The flowcharts used in this application illustrate operations implemented in accordance with some embodiments of the application. It should be understood that the operations of the flowcharts may be performed out of order, and steps that do not have a logical context may be performed in reverse order or simultaneously. In additio...
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The present application relates to the technical field of automatic driving, and in particular to a method and device for determining an automatic driving test scene. The application acquires a failure scenario library, which contains multiple failure scenarios; sampling based on the first normal distribution function corresponding to the scenario parameters of the failure scenario to obtain the first sampling value corresponding to the scenario parameters of the failure scenario; The first sampled value generates a first test scenario, and constructs a second scenario library; tests the target driving algorithm through the second scenario library to obtain a predicted failure scenario; and updates the failure scenario library according to the predicted failure scenario. Among them, the scale parameter of the first normal distribution function is the standard deviation of the scene parameters of the failure scene, and the failure scene in the automatic driving test scene is determined in a targeted manner, and the target driving algorithm is tested based on the scene library including the failure scene, The target driving algorithm is evaluated by the probability of failure of the target driving algorithm in a library of scenarios.
Description
technical field [0001] The present application relates to the technical field of automatic driving, and in particular to a method, device, electronic equipment and storage medium for determining an automatic driving test scene. Background technique [0002] In the automatic driving test, the automatic driving algorithm is evaluated by means of simulation. A common evaluation method is to estimate the failure probability of the algorithm according to the proportion of the scene combinations in which the automatic driving algorithm fails in the collected sample points. [0003] In the prior art, a simple random sampling Monte Carlo simulation method is provided to collect sample points, but if you want to collect scene combinations where the automatic driving algorithm fails through the Monte Carlo method, you need a large number of sample points In addition, such a sampling method lacks pertinence to the automatic driving algorithm, so a method for determining the automatic d...
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IPC IPC(8): G06F11/36
CPCG06F11/3688
Inventor 何丰王铁锋郝运泽彭思阳
Owner 北京赛目科技股份有限公司