Simulation and implementation of high-performance collision warning system for motor vehicle safety using embedded ANFIS prediction

Bao Rong Chang, Chung Ping Young, Hsiu Fen Tsai, Ren Yang Fang, Jian Jr Lin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publication3rd International Conference on Innovative Computing Information and Control, ICICIC'08
DOIs
Publication statusPublished - 2008
Event3rd International Conference on Innovative Computing Information and Control, ICICIC'08 - Dalian, Liaoning, China
Duration: 2008 Jun 182008 Jun 20

Publication series

Name3rd International Conference on Innovative Computing Information and Control, ICICIC'08

Other

Other3rd International Conference on Innovative Computing Information and Control, ICICIC'08
Country/TerritoryChina
CityDalian, Liaoning
Period08-06-1808-06-20

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Software
  • Control and Systems Engineering

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