CASIA OpenIR
Guidance control for parallel parking tasks
Tan, Jiyuan1; Xu, Chunling2; Li, Li3; Wang, Fei-Yue4; Cao, Dongpu5; Li, Lingxi6
Source PublicationIEEE-CAA JOURNAL OF AUTOMATICA SINICA
ISSN2329-9266
2020
Volume7Issue:1Pages:301-306
Corresponding AuthorLi, Li(li-li@tsinghua.edu)
AbstractParking 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.
KeywordAutomatic parking guidance control trajectory planning
DOI10.1109/JAS.2019.1911855
Indexed BySCI
Language英语
Funding ProjectNational 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
Funding OrganizationNational Key Research and Development Program of China ; National Natural Science Foundation of China ; Joint Laboratory for Future Transport and Urban Computing of Amap
WOS Research AreaAutomation & Control Systems
WOS SubjectAutomation & Control Systems
WOS IDWOS:000507316400027
PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/29548
Collection中国科学院自动化研究所
Corresponding AuthorLi, Li
Affiliation1.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
Recommended Citation
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.
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