摘要
针对现有基于危险场景强化生成的自动驾驶系统加速测试方法探索初期算力浪费、测试过程存在重复等问题,提出了一种基于危险边界搜索的自动驾驶系统加速测试方法。首先,定义场景危害度、场景暴露频次、场景敏感度三类场景固有属性,采用场景测试优先度作为参数空间划分和场景搜索的基础。其次,根据场景测试优先度进行具体场景提取;根据场景实际危害度进行场景测试优先度更新实现实验流程迭代。然后,利用支持向量回归对实验结果进行危险边界拟合。最后,搭建了Matlab/PreScan/CarSim联合仿真平台,选取前车切入典型场景对某黑盒自动驾驶系统进行仿真测试以验证加速测试方法的有效性。结果表明,本文方法可有效搜索被测算法的危险场景边界并提升测试效率。
Aiming at the problems of computing power waste and repetitive testing in the current accelerate test methods which enhanced generating of hazardous scenarios,an accelerate test method based on hazardous boundary search for the automated driving system is proposed.Firstly,three types of inherent attributes of the scenarios are defined:scenario hazardous degree,exposure frequency and sensitivity,and the scenario test priority is proposed with the three inherent attributes which is treated as the basis of the division of parameter space and the search sequence of scenarios.Next,specific scenarios are extracted according to the scenario test priority;and the scenario test priority is updated according to the scenario hazard degree in test results by iterating the update process.Then,the support vector regression is used to fit the hazardous boundary of the experimental results.Finally,the Matlab/PreScan/CarSim co-simulation platform is built and a black-box automated driving algorithm is tested with the front vehicle cut-in scenario in virtual environment to verify the effectiveness of the proposed method.The results show that the proposed method can effectively search the hazardous boundary of the tested automated driving algorithm and improve the test efficiency.
作者
朱冰
范天昕
赵健
张培兴
孙宇航
ZHU Bing;FAN Tian-xin;ZHAO Jian;ZHANG Pei-xing;SUN Yu-hang(State Key Laboratory of Automotive Simulation and Control,Jilin University,Changchun 130022,China)
出处
《吉林大学学报（工学版）》
EI
CAS
CSCD
北大核心
2023年第3期704-712,共9页
Journal of Jilin University:Engineering and Technology Edition
基金
国家自然科学基金项目(U22A20247,52172386)
吉林省科技发展计划项目(20220201023GX)
长沙市“揭榜挂帅”重大科技项目(kq2102008)。
关键词
车辆工程
自动驾驶系统
加速测试
危险边界
场景测试优先度
vehicle engineering
automated driving system
accelerate test method
hazardous boundary
scenario test priority
