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학술대회 Infrastructure based Vehicle Recognition System with Multi Sensor Fusion
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저자
박상헌, 장정아, 김주완
발행일
201312
출처
International Conference on Signal Processing and Communication Systems (ICSPCS) 2013, pp.1-5
DOI
https://dx.doi.org/10.1109/ICSPCS.2013.6723979
협약과제
13ZC1100, 지능형 상황인지 및 IOT 기반 기술개발, 함호상
초록
Vehicle recognition systems are being rapidly developed. The convergence of vehicle and IT technologies conduce the vehicle recognition algorithm. There are many sensors used for vehicle detection, such as vision cameras, laser scanners, and radar and sonar sensors. There are several disadvantages when using each sensor separately, however, and we therefore propose a novel infrastructure-based vehicle recognition system using a multi-sensor fusion algorithm. We use a laser scanner and a vision camera with time and environment synchronization. Each sensor detects a vehicle, and the fusion algorithm confirms its existence and extracts its precise location information. We compare the performance of the proposed method with that of high-performance GPS data. © 2013 IEEE.
KSP 제안 키워드
Gps data, High performance, Location information(GPS), Precise location, Recognition System, Recognition algorithm, Sensor fusion algorithm, Sonar sensors, Vehicle detection, Vehicle recognition, laser scanner