DocumentCode
3394758
Title
Tracking Extended Targets - A Switching Algorithm Versus The SJPDAF
Author
Kraussling, A. ; Schulz, D.
Author_Institution
Res. Dept. of Appl. Sci., Wachtberg
fYear
2006
fDate
10-13 July 2006
Firstpage
1
Lastpage
8
Abstract
Tracking extended targets is of central interest in mobile robotics as it is a prerequisite for interaction with the environment. There are significant differences between tracking punctiform targets and tracking extended targets. Most of the existing algorithms assume the targets to be punctiform, which is not always suitable. In recent years, two advanced algorithms for tracking extended targets have been developed by the authors-a switching algorithm and the SJPDAF. The switching algorithm uses the Kalman filter and an adapted version of the Viterbi algorithm, which includes certain geometrical characteristics of the problem. The SJPDAF combines the idea of particle filtering with the JPDAF. In this paper we present these two algorithms and compare them with respect to accuracy, speed and robustness in case of crossing targets. We show, that the more recently developed switching algorithm outperforms the SJPDAF regarding these criterions
Keywords
Kalman filters; mobile robots; particle filtering (numerical methods); probability; sensor fusion; target tracking; tracking filters; Kalman filter; SJPDAF; Viterbi algorithm; geometrical characteristics; mobile robotics; particle filtering; sample-based joint probabilistic data association filter; switching algorithm; tracking extended targets; Clustering algorithms; Computer science; Mobile robots; Particle filters; Particle tracking; Radar tracking; Robot sensing systems; Robustness; Target tracking; Viterbi algorithm; Tracking; Viterbi algorithm; extended targets; mobile robotics; particle filter;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Fusion, 2006 9th International Conference on
Conference_Location
Florence
Print_ISBN
1-4244-0953-5
Electronic_ISBN
0-9721844-6-5
Type
conf
DOI
10.1109/ICIF.2006.301628
Filename
4085914
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