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http://dx.doi.org/10.5391/JKIIS.2013.23.5.444

Prediction of Centerlane Violation for vehicle in opposite direction using Fuzzy Logic and Interacting Multiple Model  

Kim, Beomseong (School of Electrical and Electronics Engineering, Yonsei University)
Choi, Baehoon (School of Electrical and Electronics Engineering, Yonsei University)
An, Jhonghyen (School of Electrical and Electronics Engineering, Yonsei University)
Lee, Heejin (Electrical, Electronic and Control Engineering, Hankyong National University)
Kim, Euntai (School of Electrical and Electronics Engineering, Yonsei University)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.23, no.5, 2013 , pp. 444-450 More about this Journal
Abstract
For intelligent vehicle technology, it is very important to recognize the states of around vehicles and assess the collision risk for safety driving of the vehicle. Specifically, it is very fatal the collision with the vehicle coming from opposite direction. In this paper, a centerlane violation prediction method is proposed. Only radar signal based prediction makes lots of false alarm cause of measurement noise and the false alarm can make more danger situation than the non-prediction situation. We proposed the novel prediction method using IMM algorithm and fuzzy logic to increase accuracy and get rid of false positive. Fuzzy logic adjusts the radar signal and the IMM algorithm appropriately. It is verified by the computer simulation that shows stable prediction result and fewer number of false alarm.
Keywords
Centerlane violation prediction; Active safety system; Intelligent vehicle; Interacting Multiple Model;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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