), 杨明 上海交通大学 自动化系; 系统控制与信息处理教育部重点实验室,上海 200240
收稿日期:2020-11-23出版日期:2021-08-28发布日期:2021-08-31通讯作者:王春香E-mail:wangcx@sjtu.edu.cn作者简介:胡益恺(1996-),男,安徽省合肥市人,硕士生,主要研究方向为机器人基金资助:国家自然科学基金(61873165);国家自然科学基金(U1764264);上海汽车工业科技发展基金会(1807)Decision-Making Method of Intelligent Vehicles: A Survey
HU Yikai, WANG Chunxiang(), YANG Ming Department of Automation; Key Laboratory of System Control and Information Processing of the Ministry of Education, Shanghai Jiao Tong University, Shanghai 200240, China
Received:2020-11-23Online:2021-08-28Published:2021-08-31Contact:WANG Chunxiang E-mail:wangcx@sjtu.edu.cn摘要/Abstract
摘要： 结合目前国内外智能车辆决策方法的研究现状,分别从决策的输入、输出、周边环境交互方式以及算法类型4个方面对决策方法进行分类归纳、优缺点分析以及适用场景评估;总结归纳现阶段常见决策评估方法以及用于决策研究的数据集;分析现阶段决策方法所面临的技术难点以及未来发展趋势.
关键词: 智能车辆, 决策方法, 决策评估方法, 数据集
Abstract: Combined with the current research status of the intelligent vehicle decision-making methods at home and abroad, this paper classifies and summarizes decision-making methods from four aspects: decision input and output, environment interaction, and algorithm types. Besides, it analyzes their advantages and disadvantages, and evaluates applicable scenarios. Moreover, it surveyes the common data sets and current evaluation standards which are used for decision-making researches. Furthermore it discusses the technical difficulties faced by current decision-making methods and future development trends.
Key words: intelligent vehicle, decision-making method, evaluation standard, dataset
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