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Please use this identifier to cite or link to this item: http://ir.ncue.edu.tw/ir/handle/987654321/11459

Title: Development of Virtual Reality and Fuzzy Control Based Automatic Vehicle Control System
Authors: Huang, Rong-Wen;Chen, Chun-nan;Tsai, Tong-jing
Contributors: 機電工程學系
Keywords: Virtual reality;Intelligent vehicle;Driver assist system
Date: 2006-08
Issue Date: 2012-06-06T02:01:29Z
Publisher: 國立清華大學
Abstract: The purpose of this study is to develop an automatic vehicle control system based on virtual reality (VR) and fuzzy control technologies. Superscape VRT software is used to build the VR scene and a vehicle object which can be controlled by the embedded fuzzy controllers. The object attributes in Superscape VRT are used to obtain the relative distance and speed between the controlled vehicle and the preceding vehicle. This is equivalent to the information gathered by the image and distance detecting and processing devices widely used in advanced safety vehicles. The fuzzy control programs are written in C++ format and compiled into the dynamic link library format to be embedded in the VR environment, and the detected information is passed to and run through it to obtain the required control parameters for vehicle manipulation. Incorporating with a driving simulator proposed by the same first author, when the user shifts from gear D (manual driving mode) into gear A (automatic control mode), the vehicle object will be controlled by the fuzzy controller. As a result, the vehicle object in the VR environment can be controlled to follow the vehicle in front of it maintaining a constant distance and a close-to-zero relative speed, and remaining on the same track. In the future, more automatic control modes will be added by enhancing the corresponding fuzzy control algorithms.
Relation: 8th International Symposium on Advanced Vehicle Control, 國立清華大學, 2006年08月20-24日
Appears in Collections:[機電工程學系] 會議論文

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