智能车辆决策方法研究综述  

Decision-Making Method of Intelligent Vehicles:A Survey

作　　者：胡益恺 王春香[1] 杨明[1] 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)

机构地区：[1]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

出　　处：《上海交通大学学报》2021年第8期1035-1048,共14页Journal of Shanghai Jiaotong University

基　　金：国家自然科学基金(61873165,U1764264);上海汽车工业科技发展基金会(1807)资助项目。

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.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.

关 键 词：智能车辆 决策方法 决策评估方法 数据集 

分 类 号：TP242.6[自动化与计算机技术—检测技术与自动化装置]