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최영수(Youngsoo Choi),김종혁(Jonghyuk Kim),윤용문(Yongmun Yun),최지훈(Jihun Choi),박종찬(Jongchan Park) 한국자동차공학회 2019 한국 자동차공학회논문집 Vol.27 No.9
Vehicle speed estimation is the most important task in car accident reconstruction and intelligent transportation system design. Recent studies have been conducted in order to evaluate the speed of a vehicle by using the images of various surveillance cameras. However, the limitation is that it is necessary to know whether the calibration coefficient of the camera or only the average speed analysis of a specific interval is possible. In this study, we propose a novel technique for estimating vehicle speed by using a vehicle or structure already recognized as geometric information from the uncalibrated surveillance camera. The digital image processing technique tracks the specific coordinates information in all video frames and calculates the velocity change according to the video frame rate by using a cross ratio, which is the perspective invariant. The results of this method are verified through simulation and actual car evaluation. As a result, it is confirmed that it is possible to accurately analyze the change in the moving speed of a vehicle in different conditions.