交通运输工程与信息学报2024，Vol.22Issue(1)：1-24,24.DOI:10.19961/j.cnki.1672-4747.2023.04.007
自动驾驶汽车仿真器综述:能力、挑战和发展方向
Review of autonomous vehicle simulators:capabilities,challenges,and development directions
摘要
Abstract
Simulators play a crucial role in the research,development,and validation of autonomous vehicle(AV)systems.This review systematically explores the current status of AV simulators both domestically and internationally,focusing on their capabilities,challenges,and future development trends.First,the development history of AV simulators is reviewed and the current state of related re-search at home and abroad is elaborated.second,a comprehensive evaluation of various simulators is conducted based on technical,functional,performance,and commercial indicators,while discussing their applicability in different research and development tasks.In addition,this review delves into the challenges and constraints faced by AV simulators.Combining the development of advanced technol-ogies such as deep learning and artificial intelligence,targeted solutions are proposed.A series of for-ward-looking solutions are presented to overcome the limitations of AV simulators in complex envi-ronments and diverse scenarios.Consequently,this review emphasizes the opportunities and emerg-ing trends in future research,which will lay the foundation for the development of the next genera-tion of simulators.Finally,this review aims to provide valuable guidance for researchers,developers,and industry stakeholders,helping them choose the tools that best suit their needs and stimulate the innovation potential of the autonomous driving field.The content of this review contributes to the promotion of AV simulators in autonomous driving research and practical applications,thereby pro-viding a safer,more convenient,and efficient travel experience for humanity.关键词
智能交通/自动驾驶汽车仿真器/综述/自动驾驶汽车测试Key words
intelligent transportation/autonomous vehicle simulator/review/autonomous vehicle testing分类
信息技术与安全科学引用本文复制引用
张坤鹏,常成,王世璞,张佐,李力..自动驾驶汽车仿真器综述:能力、挑战和发展方向[J].交通运输工程与信息学报,2024,22(1):1-24,24.基金项目
国家重点研发计划课题:基于车-云-场协同的自动驾驶效能在线加速测评(2021YFB2501200) （2021YFB2501200）
