基于危险性的汽车ACC切车场景设计研究  

Research on Cutting Scenario Design of Automotive ACC based on Risk Factors

作　　者：李占旗 张蕾 刘全周 Li Zhanqi;Zhang Lei;Liu Quanzhou(CATARC(Tianjin)Automotive Engineering Research Institute Co.,Ltd.,Tianjin 300300;Tianjin University,Tianjin 300354)

机构地区：[1]中汽研(天津)汽车工程研究院有限公司,天津300300 [2]天津大学,天津300354

出　　处：《中国汽车》2023年第8期58-64,共7页China Auto

摘　　要：针对汽车自适应巡航控制系统功能测试需求,基于曝光度及危险性分析设计ACC切车场景。基于自然驾驶数据,通过对切车工况数据特征进行分析,提取切车工况,并基于先验的智能驾驶模型、最优化方法和扫描线种子填充算法设计了关键切车场景。基于场景仿真软件完成了关键切车场景的构建及对ACC功能模块的仿真验证,并进行了危险切车场景仿真分析。结果表明基于考量场景曝光度及危险性的自然驾驶关键切车场景提取与设计方法,可有效设计开发汽车自适应巡航控制系统典型测试场景。Aiming at the functional testing requirements of automotive adaptive cruise control system,ACC cutting scenario based on exposure and risk analysis is designed.The ACC target recognition ability test scenario and curve adaptability test scenario are constructed by combining and deriving the logic elements of the test scenario.Based on natural driving data,by analyzing the data characteristics of the vehicle cutting conditions,the cutting conditions were extracted.The key cutting scenarios were designed and constructed based on the prior intelligent driving model,optimization method and scan line seed filling algorithm.Based on scenario simulation software,the construction and simulation verification of key vehicle cutting scenarios ware completed,and the simulation analysis under dangerous vehicle cutting conditions was carried out.The results show that the extraction and design method of natural driving key cutting scenarios considering the exposure and risk factor,can effectively design and develop the typical test scenarios of the automotive adaptive control system.

关 键 词：车辆工程 智能驾驶 仿真测试 测试场景 自适应巡航控制系统 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]