DocumentCode :
1863018
Title :
Design and Implementation of Vision-Based Intelligent Micro-vehicles Interaction System
Author :
Jianquan Bi ; Yijun Zhang ; Yongqiang Bai ; Futong Qin ; Qicai Yang
Author_Institution :
Luoyang Electron. Equip. Test Center, Luoyang, China
Volume :
1
fYear :
2013
fDate :
26-27 Aug. 2013
Firstpage :
117
Lastpage :
121
Abstract :
An intelligent micro-vehicle(IMV) system with high real-time performance, stability and low performance sensors is designed in this paper. And a complete interaction control method Based on vision, which includes car-following and lane-change, is proposed over it. To improve vehicle interactive performance, the Fuzzy hybrid steering controller is proposed for autonomous overtaking here. Experimental results demonstrate the effectiveness of the interaction maneuver and the stability of the control algorithm.
Keywords :
computer vision; control engineering computing; fuzzy control; interactive systems; navigation; real-time systems; road vehicles; stability; steering systems; IMV system; fuzzy hybrid steering controller; interaction control; real-time performance; stability; vehicle interactive performance; vision-based intelligent microvehicles interaction system; Cameras; Equations; Mathematical model; Real-time systems; Roads; Trajectory; Vehicles; Environment Perception; Intelligent micro-vehicles; Vehicle Interaction; Vehicle control; Visual navigation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2013 5th International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-0-7695-5011-4
Type :
conf
DOI :
10.1109/IHMSC.2013.35
Filename :
6643847
Link To Document :
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