摘要
提出了基于ACP方法 (人工社会(A),计算实验(C)和平行执行(P))的智能车智能指挥与控制系统,即平行驾驶系统.介绍了ACP理论方法,平行驾驶系统的基本框架和其中的4个关键技术,即平行学习、平行感知、平行规划和平行测试.指出了智能车指挥与控制系统实验平台的构成,包括遥控平台、智能车平台和平行管控平台,还论证了该平台中关键技术的验证思路和实现流程.
Based on the ACP method,we propose the intelligent command and control system(parallel driving)for intelligent vehicles.The ACP method,the architecture and four key technologies of the parallel driving system are introduced first.The experimental platform of this system includes the actual intelligent vehicles,remote control platform and the parallel control and management platform.Then,the verified designs for the key technologies in this system are presented.
作者
刘腾
于会龙
田滨
艾云峰
陈龙
LIU Teng;YU Hui-Long;TIAN Bin;AI Yun-Feng;CHEN Long(Vehicle Intelligence Pioneers Inc.,Qingdao Shandong 266109,China;The State Key Laboratory of Management and Control for Complex Systems,Institute of Automation,Chi-nese Academy of Sciences,Beijing 100190,China;Univer-sity of Chinese Academy of Sciences,Beijing 100049,China;School of Data and Computer Science,Sun Yat-Sen University,Guangzhou Guangdong 510006,China)
出处
《指挥与控制学报》
2018年第1期22-31,共10页
Journal of Command and Control
关键词
指挥与控制
ACP方法
平行驾驶
平行学习
平行感知
平行测试
平行管控平台
command and control
ACP method
parallel driving
parallel learning
parallel perception
parallel testing
parallel control and management platform
