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http://dx.doi.org/10.12815/kits.2017.16.2.36

Development of A Multi-sensor Fusion-based Traffic Information Acquisition System with Robust to Environmental Changes using Mono Camera, Radar and Infrared Range Finder  

Byun, Ki-hoon (Dept. of Computer and Information Engineering, Univ. of Inha)
Kim, Se-jin (Dept. of Computer and Information Engineering, Univ. of Inha)
Kwon, Jang-woo (Dept. of Computer and Information Engineering, Univ. of Inha)
Publication Information
The Journal of The Korea Institute of Intelligent Transport Systems / v.16, no.2, 2017 , pp. 36-54 More about this Journal
Abstract
The purpose of this paper is to develop a multi-sensor fusion-based traffic information acquisition system with robust to environmental changes. it combines the characteristics of each sensor and is more robust to the environmental changes than the video detector. Moreover, it is not affected by the time of day and night, and has less maintenance cost than the inductive-loop traffic detector. This is accomplished by synthesizing object tracking informations based on a radar, vehicle classification informations based on a video detector and reliable object detections of a infrared range finder. To prove the effectiveness of the proposed system, I conducted experiments for 6 hours over 5 days of the daytime and early evening on the pedestrian - accessible road. According to the experimental results, it has 88.7% classification accuracy and 95.5% vehicle detection rate. If the parameters of this system is optimized to adapt to the experimental environment changes, it is expected that it will contribute to the advancement of ITS.
Keywords
Traffic Information Acquisition System; Vehicle Detection System; Probabilistic Data Association; Adaboost; Sensor Fusion;
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Times Cited By KSCI : 1  (Citation Analysis)
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