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A method of fast track merging using nearest measurement ID

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5 Author(s)
Seung-Youn Lee ; Unmanned Ground Vehicle Technol. Directorate, Agency for Defense Dev., Daejeon, South Korea ; Young-Hun Jung ; Tok-Son Choi ; Seok-Jae Lee
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In this paper, we proposed a method of fast track merging based on single sensor which is foundation of track fusion algorithm. The existing method of track merging is performed throughout comparison between tracks to tracks. In our research, we develop the fast clustering method using nearest neighbor measurement identification. The simulation results show that the proposed method is faster than existing method about 18.1%. The developed method could be extended to homogeneous multiple sensors.

Published in:

Control, Automation and Systems (ICCAS), 2011 11th International Conference on

Date of Conference:

26-29 Oct. 2011