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自动驾驶测试场景研究进展

王润民 朱宇 赵祥模 徐志刚 周文帅 刘童

王润民, 朱宇, 赵祥模, 徐志刚, 周文帅, 刘童. 自动驾驶测试场景研究进展[J]. 交通运输工程学报, 2021, 21(2): 21-37. doi: 10.19818/j.cnki.1671-1637.2021.02.003
引用本文: 王润民, 朱宇, 赵祥模, 徐志刚, 周文帅, 刘童. 自动驾驶测试场景研究进展[J]. 交通运输工程学报, 2021, 21(2): 21-37. doi: 10.19818/j.cnki.1671-1637.2021.02.003
WANG Run-min, ZHU Yu, ZHAO Xiang-mo, XU Zhi-gang, ZHOU Wen-shuai, LIU Tong. Research progress on test scenario of autonomous driving[J]. Journal of Traffic and Transportation Engineering, 2021, 21(2): 21-37. doi: 10.19818/j.cnki.1671-1637.2021.02.003
Citation: WANG Run-min, ZHU Yu, ZHAO Xiang-mo, XU Zhi-gang, ZHOU Wen-shuai, LIU Tong. Research progress on test scenario of autonomous driving[J]. Journal of Traffic and Transportation Engineering, 2021, 21(2): 21-37. doi: 10.19818/j.cnki.1671-1637.2021.02.003

自动驾驶测试场景研究进展

doi: 10.19818/j.cnki.1671-1637.2021.02.003
基金项目: 

国家重点研发计划项目 2018YFB0105104

陕西省重点研发计划项目 2018ZDCXL-GY-05-02

详细信息
    作者简介:

    王润民(1989-),男,山东潍坊人,长安大学高级工程师,长安大学工学博士研究生,从事智能网联汽车测试评价技术研究

    通讯作者:

    赵祥模(1966-),男,重庆大足人,长安大学教授,工学博士

  • 中图分类号: U467.5

Research progress on test scenario of autonomous driving

Funds: 

National Key Research and Development Program of China 2018YFB0105104

Shaanxi Province Key Research and Development Program 2018ZDCXL-GY-05-02

More Information
    Author Bio:

    WANG Run-min(1989-), male, senior engineer, doctoral student, rmw@chd.edu.cn

    Corresponding author: ZHAO Xiang-mo(1966-), male, professor, PhD, xmzhao@chd.edu.cn
  • 摘要: 阐述了目前形成的自动驾驶测试场景的5种定义,并在梳理测试场景、基元场景、场景要素之间逻辑关系的基础上提出了自动驾驶测试场景及有关概念的定义;对比了目前业界较为认可的3种自动驾驶测试场景架构;从场景数据来源梳理了国内外开展的交通事故数据与自然驾驶数据采集与研究现状;概括了利用已知数据、专家数据、测试需求、测试对象以及自动驾驶技术特征等开展未知自动驾驶测试场景构建与自动生成研究的成果。研究结果表明:自动驾驶测试场景的定义及架构与自动驾驶场景的构建与自动生成关系密切;自动驾驶场景可以认为是自动驾驶汽车的行驶环境、交通参与者与驾驶行为等场景要素的有机组合与综合反映,自动驾驶测试场景除包含场景的所有要素外,还应包含场景起始状态、场景发生的态势以及场景结束时造成的影响和结果等内容的动态语义描述;现有测试场景架构已较为完善,但难以满足不同测试目标及测试方法的需求,其优化应充分考虑测试场景设计的流程;交通事故数据采集精度及有效数据特征不一,自然驾驶场景数据难以完全采集,且采集规范不统一,其面向自动驾驶测试场景构建的有效性还有待进一步论证,自动驾驶测试数据有望成为重要补充;提升场景覆盖度、加速测试进程是自动驾驶测试场景构建的重要研究目标,人工智能技术在自动驾驶场景生成领域的深度应用有望满足测试场景的完全覆盖或高覆盖需求;面向不同自动驾驶等级的测试场景分级及面向自动驾驶加速测试场景构建方法将是自动驾驶测试场景构建下一步研究的重要方向。

     

  • 图  1  基于情景、行为和事件的场景架构

    Figure  1.  Scenario architecture based on scenes, actions and events

    图  2  PEGASUS 6层场景分层模型

    Figure  2.  Layered model of 6-layer scenario proposed by PEGASUS

    图  3  NHTSA 6层设计运行域模型

    Figure  3.  Operational design domain model of 6-layer proposed by NHTSA

    图  4  场景数据来源

    Figure  4.  Sources of scenario data

    图  5  基于TestWeaver的测试场景生成与评估

    Figure  5.  Generation and evaluation of test scenario based on TestWeaver

    图  6  基于真实场景的测试用例生成

    Figure  6.  Test case generation based on real scenario

    图  7  基于本体论的场景生成过程

    Figure  7.  Generation process of ontology-based scenarios

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  • 收稿日期:  2020-10-20
  • 刊出日期:  2021-04-01

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