期刊
MATHEMATICAL AND COMPUTER MODELLING
卷 54, 期 1-2, 页码 531-543出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.mcm.2011.02.043
关键词
Intelligent transportation; Video tracking; Radar tracking; Sensor fusion
Current Continuous Wave (CW) Doppler radar speed measurement systems lack the ability to distinguish multiple targets. Most systems can only identify the strongest (closest) target or the fastest target. In this paper, a traffic surveillance system is presented that is capable of automatically monitoring all vehicle speeds on roadways using sensor fusion on data acquired from a video camera and a CW Doppler radar. First, a higher time-frequency resolution of the radar signal (than a standard FFT) is obtained by employing the method of time-frequency reassignment. Then, the 3D tracking information obtained from the calibrated video camera is fused with the more accurate information from the Doppler radar to produce a position and velocity track of the targets within the surveillance region. (C) 2011 Elsevier Ltd. All rights reserved.
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