基于雨雪天气的AEB测试场景提取与控制仿真

Xinyue Yang, Haiyun Gan, Ying Yan
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引用次数: 0

摘要

为ADAS(高级驾驶辅助系统)功能提供有效的测试环境,丰富AEB(自动紧急制动)测试场景库。本文参考了国内外已有的AEB测试场景提取方法。采集114个自然驾驶样本数据,人工选取60个雨雪天气代表性案例。采用K-means聚类分析对样本数据进行分析和分类,得到基于雨雪天气的三个具有典型特征的AEB测试场景。搭建VTD与Matlab/Simulink联合仿真平台,对AEB系统进行仿真测试。VTD和Matlab/Simulink联合仿真测试证明了本文场景提取的可行性。
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AEB Test Scene Extraction and Control Simulation based on Rain or Snow Weather
To provide an effective test environment for ADAS(Advanced Driver Assistance Systems)functions and enrich the AEB(Autonomous Emergency Brake) test scenarios library. This paper refers to the existing methods of AEB test scenarios extraction at home and abroad. 114 natural driving samples data were collected, and 60 representative cases of rain or snow weather were selected manually. The K-means cluster analysis is adopted to analyze and classify the sample data, and obtained three AEB test scenarios with typical characteristics based on rain or snow weather. Built VTD and Matlab/Simulink co-simulation platform, to carry out the simulation test of AEB system. VTD and Matlab/Simulink co-simulation test proves that the scene extract in this paper are feasible.
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