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