摘要
调研了国内外无人驾驶车辆行为决策系统的研究现状,对行为决策系统进行分类,基于国内外行为决策系统研究实例,对基于规则和基于学习算法的不同行为决策系统的实现方式、适用条件及优缺点进行比较,分析了现阶段无人车行为决策系统的研究水平、技术难点和发展趋势,为无人驾驶车辆行为决策系统的设计提供参考。
The research status of behavior decision-making system of unmanned vehicle in China and other countries was investigated,and the behavior decision-making system was classified.Based on the research samples of behavior decision-making systems in China and other countries,the implementation and application conditions of different behavior decision-making systems based on rules and learning algorithms were discussed,and the advantages and disadvantages were compared.The research level,technical difficulties and development trends of the current unmanned vehicle behavior decision-making system were analyzed,which provided a reference for the design of the unmanned vehicle behavior decision-making system.
作者
熊璐
康宇宸
张培志
朱辰宇
余卓平
Xiong Lu;Kang Yuchen;Zhang Peizhi;Zhu Chenyu;Yu Zhuoping(Tongji University,Shanghai 201804)
出处
《汽车技术》
CSCD
北大核心
2018年第8期1-9,共9页
Automobile Technology
基金
上海市科委项目(17DZ1100202
16DZ1100700)
关键词
无人驾驶车辆
行为决策算法
有限状态机
学习算法
Unmanned vehicle
Behavior decision-making system
Finite state machine
Learning algorithm
