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2009 WRI World Congress on Computer Science and Information Engineering
Moving Vehicle Tracking Based on Unscented Kalman Filter Algorithm
Los Angeles, California USA
March 31-April 02
ISBN: 978-0-7695-3507-4
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, vol. 2, pp.33-38, 2009 WRI World Congress on Computer Science and Information Engineering, 2009
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