Title :
A method of fast track merging using nearest measurement ID
Author :
Lee, Seung-Youn ; Jung, Young-Hun ; Choi, Tok-Son ; Lee, Seok-Jae ; Yoon, Joo-Hong
Author_Institution :
Unmanned Ground Vehicle Technol. Directorate, Agency for Defense Dev., Daejeon, South Korea
Abstract :
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.
Keywords :
pattern clustering; sensor fusion; fast clustering method; fast track merging; homogeneous multiple sensors; nearest measurement ID; nearest neighbor measurement identification; single sensor; track fusion algorithm; Clustering algorithms; Information filters; Merging; Position measurement; Simulation; Target tracking; Velocity measurement; Multiple Target Tracking; Track Merging; Track to Track Association;
Conference_Titel :
Control, Automation and Systems (ICCAS), 2011 11th International Conference on
Conference_Location :
Gyeonggi-do
Print_ISBN :
978-1-4577-0835-0
