DocumentCode
558930
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
fYear
2011
fDate
26-29 Oct. 2011
Firstpage
376
Lastpage
378
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Control, Automation and Systems (ICCAS), 2011 11th International Conference on
Conference_Location
Gyeonggi-do
ISSN
2093-7121
Print_ISBN
978-1-4577-0835-0
Type
conf
Filename
6106267
Link To Document