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Los Angeles, CA
March 31, 2009 to April 2, 2009
ISBN: 978-0-7695-3507-4
pp: 33-38
ABSTRACT
Based on many model tracking methods, this paper presents a new moving vehicle model. In this new model, unscented kalman filter is used to track the moving vehicle. The model is simple but more accurate to describe the characters of moving vehicle. The simulation and experiment results of the model indicate that the algorithm efficiently solves the problem of nonlinear moving object tracking.
CITATION
Wang Lingqun, Pan Shizhu, Zheng Yingping, "Moving Vehicle Tracking Based on Unscented Kalman Filter Algorithm", CSIE, 2009, 2009 WRI World Congress on Computer Science and Information Engineering, CSIE, 2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009, pp. 33-38, doi:10.1109/CSIE.2009.469
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