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Moving Vehicle Tracking Based on Unscented Kalman Filter Algorithm

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3 Author(s)
Wang-lingqun ; Inst. of Inf., Shanghai Ocean Univ., Shanghai, China ; Pan-shizhu ; Zheng-yingping

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.

Published in:

Computer Science and Information Engineering, 2009 WRI World Congress on  (Volume:2 )

Date of Conference:

March 31 2009-April 2 2009