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Simulation and Implementation of High-Performance Collision Warning System for Motor Vehicle Safety Using Embedded ANFIS Prediction

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5 Author(s)
Bao Rong Chang ; Dept. of Comput. Sci. & Inf. Eng., Nat. Taitung Univ., Taitung ; Chung-Ping Young ; Hsiu Fen Tsai ; Ren-Yang Fang
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A good driver-vehicle interface needs two functions: (a) how to effectively prevent traffic crash and (b) how to record event data precisely for facilitating the traffic crash investigation after accident. This study is to explore how to realize high-performance collision warning system (CWS), providing the precaution against traffic crash in transit. An embedded adaptive network-based fuzzy inference system (ANFIS) built in XScale-NAV270 platform was employed to realize collision warning system and we also installed motor vehicle event data recorder (MVEDR). Finally, simulation and verification of the proposed approach were successfully done to achieve better accuracy and more effectiveness on warning operation and event data record to motor vehicle.

Published in:

Innovative Computing Information and Control, 2008. ICICIC '08. 3rd International Conference on

Date of Conference:

18-20 June 2008