Practical motion planning for car-parking control in narrow environment

Citations

WEB OF SCIENCE

61
Citations

SCOPUS

85

초록

The automatic parking assist system is one of the key components in future automobiles. Path planning of a car-like robot is difficult because of non-holonomic constraints. In this study, the authors propose a practical path planning algorithm for the car-parking control problem. Reachable regions from a goal can be easily computed using the proposed scheme. A variety of candidate paths can be generated by using conventional back-propagation scheme. Finally, we can obtain optimal solutions with respect to performance measures such as collision safety, moving distance, control efforts and so forth. The presented simulation results clearly show that the proposed scheme provides useful solutions.

키워드

mobile robotmotion planningpath planningcar parkingTRAJECTORY GENERATIONNEURAL-NETWORKALGORITHM
제목
Practical motion planning for car-parking control in narrow environment
저자
Kim, D.Chung, W.Park, S.
DOI
10.1049/iet-cta.2008.0380
발행일
2010-01
유형
Article
저널명
IET Control Theory and Applications
4
1
페이지
129 ~ 139