信息与控制2024，Vol.53Issue(1)：17-32,46,17.DOI:10.13976/j.cnki.xk.2024.3398
自动驾驶安全关键场景生成技术综述
Survey on Automatic Driving Safety-Critical Scenario Generation Technology
摘要
Abstract
The generation of safety-critical scenarios is a pivotal focus in the domain of autonomous driv-ing,holding significant application value in areas such as autonomous driving testing,automotive safety assessments,and the establishment of automotive safety standards.It is the key to the im-plementation of autonomous driving applications.Existing research lacks a survey focusing on safe-ty-critical scenario generation techniques.We provide a systematic review of safety-critical scenario generation techniques.We summarize the research progress in the field of safety-critical scenario generation techniques.Furthermore,we conduct a comparative analysis of models dedicated to safety-critical scenario generation.In addition,we explore safety-critical scenario generation meth-ods based on clustering,Bayesian networks,and adversarial networks.Finally,we present a pro-spective outlook on research trends in safety-critical scenario generation methods.关键词
自动驾驶汽车/安全关键场景/场景生成/深度生成模型Key words
autonomous vehicle/safety-critical scenario/scenario generation/deep generative model分类
交通运输引用本文复制引用
王淳浩,肖利民,闭家铭,阮利,魏彤羽,任宇翔,黄镇,刘云韬,纪岳天思,SAW Yinxuan..自动驾驶安全关键场景生成技术综述[J].信息与控制,2024,53(1):17-32,46,17.基金项目
北京警察学院校局合作重点项目(2022KXJ12) （2022KXJ12）
公安部警用装备研发计划重点项目(2023ZB12) （2023ZB12）
证据科学教育部重点实验室(中国政法大学)开放基金(2022KFKT09) （中国政法大学）
国家自然科学基金项目(62272026) （62272026）
