中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Guidance control for parallel parking tasks

文献类型:期刊论文

作者Tan, Jiyuan1; Xu, Chunling2; Li, Li3; Wang, Fei-Yue4; Cao, Dongpu5; Li, Lingxi6
刊名IEEE-CAA JOURNAL OF AUTOMATICA SINICA
出版日期2020
卷号7期号:1页码:301-306
关键词Automatic parking guidance control trajectory planning
ISSN号2329-9266
DOI10.1109/JAS.2019.1911855
通讯作者Li, Li(li-li@tsinghua.edu)
英文摘要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.
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
WOS研究方向Automation & Control Systems
语种英语
WOS记录号WOS:000507316400027
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
资助机构National Key Research and Development Program of China ; National Natural Science Foundation of China ; Joint Laboratory for Future Transport and Urban Computing of Amap
源URL[http://ir.ia.ac.cn/handle/173211/29547]  
专题自动化研究所_复杂系统管理与控制国家重点实验室_先进控制与自动化团队
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.

入库方式: OAI收割

来源:自动化研究所

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