DocumentCode :
2752432
Title :
Research on self-parking path planning algorithms
Author :
Wang, Daobin ; Liang, Huawei ; Mei, Tao ; Zhu, Hui
Author_Institution :
Inst. of Adv. Manuf. Technol., Chinese Acad. of Sci., Changzhou, China
fYear :
2011
fDate :
10-12 July 2011
Firstpage :
258
Lastpage :
262
Abstract :
Path planning is one of the fundamental aspects of intelligent vehicle navigation. Based on the kinematic model and the actual vehicle parking process, we proposed two improved geometriclly minimum radius and unequal radius path planning algorithms. The computer simulation results showed that two path planning algorithms had expanded significantly the scope of application, meanwhile the combination of two algorithms proposed above had optimized the whole process of parking. The algorithms proposed in this paper have a certain reference value on the study of self-parking.
Keywords :
path planning; road vehicles; traffic engineering computing; geometriclly minimum radius path planning algorithm; intelligent vehicle navigation; kinematic model; self-parking path planning algorithm; unequal radius path planning algorithm; Mobile robots; Space exploration; Space vehicles; Trajectory; Wheels; constraint space; minimum parking spaces; path planning; self-parking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Vehicular Electronics and Safety (ICVES), 2011 IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4577-0576-2
Type :
conf
DOI :
10.1109/ICVES.2011.5983825
Filename :
5983825
Link To Document :
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