汽车工程 ›› 2021, Vol. 43 ›› Issue (4): 610-619.doi: 10.19562/j.chinasae.qcgc.2021.04.019

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自动驾驶汽车测试场景构建关键技术综述

徐向阳1,胡文浩1,2,董红磊2,王琰2,肖凌云2(),李鹏辉3   

  1. 1.北京航空航天大学交通科学与工程学院,北京 100191
    2.国家市场监管总局缺陷产品管理中心,北京 100101
    3.中国汽车工程研究院股份有限公司,重庆 401122
  • 收稿日期:2020-06-25 修回日期:2020-08-14 出版日期:2021-04-25 发布日期:2021-04-23
  • 通讯作者: 肖凌云 E-mail:xiaoly@dpac.gov.cn
  • 基金资助:
    中央基本科研项目基金 282019Y?6694基于NAIS事故深度调查数据的自动驾驶危险场景构建关键技术研究资助

Review of Key Technologies for Autonomous Vehicle Test Scenario Construction

Xiangyang Xu1,Wenhao Hu1,2,Honglei Dong2,Yan Wang2,Lingyun Xiao2(),Penghui Li3   

  1. 1.School of Transportation Science and Engineering,Beihang University,Beijing 100191
    2.SAMR Defective Product Administrative Center,Beijing 100101
    3.China Automotive Engineering Research Institute Co. ,Ltd. ,Chongqing 401122
  • Received:2020-06-25 Revised:2020-08-14 Online:2021-04-25 Published:2021-04-23
  • Contact: Lingyun Xiao E-mail:xiaoly@dpac.gov.cn

摘要:

面向自动驾驶汽车测试场景构建,本文首先对现有场景定义与架构进行了对比分析,并提出测试场景应涵盖场景要素和测试要素的共计10层信息;其次,归纳提出了包括具体场景直接构建、典型逻辑场景挖掘分析与推理演绎和具体场景重构衍生的场景构建方法体系;再次,从单一片段测试、组合片段测试和融合交通流的测试3个维度,系统梳理了主流虚拟场景测试应用方法;最后,从场景构建方法链和工具链的角度提出了研究展望。综述研究成果将为自动驾驶汽车测试与评价提供参考。

关键词: 自动驾驶汽车, 安全测试, 场景构建, 综述

Abstract:

For autonomous vehicle test scenarios construction, this paper firstly makes a comparative analysis of the existing scenario definition and architecture, and proposes that test scenarios should cover a total of 10 layers of information of scene elements and test elements. Secondly, a method system of scenario construction including direct construction of concrete scenario, mining and deduction of typical logical scenario and reconstruction and derivation of specific scenario is summarized and proposed. Thirdly, from the three dimensions of single segment test, combined segment test and integrated traffic flow test, the main virtual scenario test application methods are systematically sorted out. Finally, the research prospect is presented from the perspective of method chain and tool chain of scenario construction. The research results of the review will provide reference for the testing and evaluation of autonomous vehicles.

Key words: autonomous vehicles, safety testing, scenario construction, review