Please use this identifier to cite or link to this item: http://hdl.handle.net/11455/44154
標題: Autonomous Vehicle Parking Using Hybrid Artificial Intelligent Approach
作者: Lee, C.K.
林俊良
Lin, C.L.
Shiu, B.M.
關鍵字: Optimization
Vehicle parking
Genetic algorithm
Petri net
Fuzzy
control
mobile robot
genetic algorithms
neural-network
fuzzy
car
期刊/報告no:: Journal of Intelligent & Robotic Systems, Volume 56, Issue 3, Page(s) 319-343.
摘要: This paper devotes to design and implement a hybrid artificial intelligent control scheme for a car-like vehicle to perform the task of optimal parking. The parallel parking control scheme addresses three issues: trajectory planner, decisional kernel, and trajectory tracking control. Design of the control scheme consists of several techniques: genetic algorithm, Petri net, and fuzzy logic control. The genetic algorithm is used to determine the feasible parking locations. The Petri net is used to replace the traditional decision flow chart and plan alternative parking routes especially in global space. The parking routine can be re-performed if the initially assigned route is interfered or when the targeted parking space has been occupied. The fuzzy logic controller is used to drive the vehicle along with the optimal parking route. The proposed scheme is put into several scenarios to test and verify its applicability and to manifest its distinguished features.
URI: http://hdl.handle.net/11455/44154
ISSN: 0921-0296
文章連結: http://dx.doi.org/10.1007/s10846-009-9319-9
Appears in Collections:電機工程學系所

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