Guidance control for parallel parking tasks

doi:10.1109/JAS.2019.1911855

CASIA OpenIR > 多模态人工智能系统全国重点实验室 > 平行智能技术与系统团队

	Guidance control for parallel parking tasks
	Tan, Jiyuan 1; Xu, Chunling 2; Li, Li 3; Wang, Fei-Yue4 ; Cao, Dongpu 5; Li, Lingxi 6
发表期刊	IEEE-CAA JOURNAL OF AUTOMATICA SINICA
ISSN	2329-9266
	2020
卷号	7 期号:1 页码:301-306
通讯作者	Li, Li(li-li@tsinghua.edu)
摘要	Parking into small berths remains difficult for unskilled drivers. Researchers had proposed different automatic parking systems to solve this problem. The first kind of strategies (called parking trajectory planning) designs a detailed reference trajectory that links the start and ending points of a special parking task and let the vehicle track this reference trajectory so as to park into the berth. The second kind of strategies (called guidance control) just characterizes several regimes of driving actions as well as the important switching points in certain rule style and let the vehicle follows the pre-selected series of actions so as to park into the berth. Parking guidance control is simpler than parking trajectory planning. However, no studies thoroughly validated parking guidance control before. In this paper, a new automatic parking method is presented, which could characterize the desired control actions directly. Then the feasibility is examined carefully. Tests show that a simple parking guidance control strategy can work in most parallel parking tasks, if the available parking berth is not too small. This finding helps to build more concise automatic parking systems that can efficiently guide human drivers.
关键词	Automatic parking guidance control trajectory planning
DOI	10.1109/JAS.2019.1911855
收录类别	SCI
语种	英语
资助项目	National Key Research and Development Program of China[2018AAA0101400] ; National Natural Science Foundation of China[61603005] ; National Natural Science Foundation of China[61790565] ; Joint Laboratory for Future Transport and Urban Computing of Amap ; National Key Research and Development Program of China[2018AAA0101400] ; National Natural Science Foundation of China[61603005] ; National Natural Science Foundation of China[61790565] ; Joint Laboratory for Future Transport and Urban Computing of Amap
项目资助者	National Key Research and Development Program of China ; National Natural Science Foundation of China ; Joint Laboratory for Future Transport and Urban Computing of Amap
WOS研究方向	Automation & Control Systems
WOS类目	Automation & Control Systems
WOS记录号	WOS:000507316400027
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计	被引频次：21[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/29548
专题	多模态人工智能系统全国重点实验室_平行智能技术与系统团队
通讯作者	Li, Li
作者单位	1.North China Univ Technol, Beijing Key Lab Urban Intelligent Traff Control, Beijing 100144, Peoples R China 2.Beijing Transport Inst, Beijing 100073, Peoples R China 3.Tsinghua Univ, Dept Automat, BNRist, Beijing 100084, Peoples R China 4.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100080, Peoples R China 5.Univ Waterloo, Driver Cognit & Automated Driving Lab, Waterloo, ON N2L 3G1, Canada 6.Indiana Univ Purdue Univ, Purdue Sch Engn & Technol, Dept Elect & Comp Engn, Indianapolis, IN 46202 USA
推荐引用方式 GB/T 7714	Tan, Jiyuan,Xu, Chunling,Li, Li,et al. Guidance control for parallel parking tasks[J]. IEEE-CAA JOURNAL OF AUTOMATICA SINICA,2020,7(1):301-306.
APA	Tan, Jiyuan,Xu, Chunling,Li, Li,Wang, Fei-Yue,Cao, Dongpu,&Li, Lingxi.(2020).Guidance control for parallel parking tasks.IEEE-CAA JOURNAL OF AUTOMATICA SINICA,7(1),301-306.
MLA	Tan, Jiyuan,et al."Guidance control for parallel parking tasks".IEEE-CAA JOURNAL OF AUTOMATICA SINICA 7.1(2020):301-306.