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http://dx.doi.org/10.5391/JKIIS.2008.18.6.863

Vehicle-Tracking with Distorted Measurement via Fuzzy Interacting Multiple Model  

Park, Seong-Keun (Yonsei University, School of Electrical and Electronic Engr.)
Hwang, Jae-Pil (Yonsei University, School of Electrical and Electronic Engr.)
Rou, Kyung-Jin (Yonsei University, School of Electrical and Electronic Engr.)
Kim, Eun-Tai (Yonsei University, School of Electrical and Electronic Engr.)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.18, no.6, 2008 , pp. 863-870 More about this Journal
Abstract
In this paper, a new filtering scheme for vehicle tracking with distorted measurement is presented. This filtering scheme is essential for the implementation of the adaptive cruise control (ACC) system. The proposed method combines the IMM and the probabilistic fuzzy model and is named as the Fuzzy IMM (FIMM). The IMM is employed to recognize the intention of the preceding vehicle. The probabilistic furry model is introduced to compensate the distortion of the range sensor. Finally, a computer simulation is performed to illustrate the validity of the suggested algorithms.
Keywords
Vehicle tracking; IMM; Fuzzy system; Adaptive cruise control; Measurement distortion;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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