Application of Human-Machine Co-driving in Multi-vehicle Formation of Deepracer Automatic Driving Platform
作者单位：SJTU-ParisTech Elite Institute of TechnologyShanghai Jiaotong Univeristy Teaching development and Student Innovation Center of SEIEEShanghai Jiao Tong University Department of Automation of SEIEEShanghai Jiaotong Univeristy Shanghai Key Laboratory of Multidimensional Information ProcessingEast China Normal University
会议名称：《2023中国汽车工程学会年会暨展览会》
会议日期：2023年
学科分类：08[工学] 082304[工学-载运工具运用工程] 080204[工学-车辆工程] 0802[工学-机械工程] 0823[工学-交通运输工程]
摘 要：This article introduces the application of human-machine collaborative driving in multi-car platooning based on the Amazon DeepRacer autonomous driving platform,which includes the use of AirTag recognition and lane *** traditional autonomous driving,vehicle control is mostly managed by algorithms with little human *** our research,we enable both algorithms and drivers to share control,with algorithms providing precision and drivers offering *** discuss the principles and implementation methods of AirTag recognition and how the location information obtained from AirTag recognition can be applied to multi-car ***,we explore the relevant technologies of lane recognition,which is the core of our autonomous driving ***,we propose some improvement measures for practical application to ensure the safety and reliability of human-machine collaborative driving in multi-car *** results of this article shows that manual driving can handle special situations,such as changing lanes,avoiding complex obstacles,and so *** driving is more suitable for regular road driving and emergency situations.