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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/28351

Title: Application of Intelligent Computing to Autonomous Vehicle Control
Authors: Yen-Sheng Chen;Wei-Hsun Wang;Jih-Gau Juang;Member;IEEE
Contributors: NTOU:Department of Communications Navigation and Control Engineering
Date: 2010-07-18
Issue Date: 2011-10-21T02:37:14Z
Publisher: Proc. of IEEE World Congress on Computational Intelligence
Abstract: Abstract:This paper utilizes a real-valued genetic algorithm (RGA) and fuzzy system to an autonomous vehicle control problem. Obstacle avoidance and parking control are performed by the use of a CCD camera, sonar sensor, and localization system on a wheeled mobile robot (WMR). The camera provides image of the surrounding. Distance between the WMR and object or obstacle can be obtained by image process and distance computation algorithm. Fuzzy system and genetic algorithm are integrated in the control scheme that can effectively drive the WMR without complicated mathematical equations. Sonar sensors detect safety distance for the WMR. The localization system provides coordinate position of the WMR. The WMR can perform obstacle avoidance and garage parking successfully.
Relation: pp.1-8
URI: http://ntour.ntou.edu.tw/handle/987654321/28351
Appears in Collections:[通訊與導航工程學系] 演講及研討會

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