A method of fast track merging using nearest measurement ID

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.