DocumentCode
1311596
Title
Extended Object Tracking Based on Set-Theoretic and Stochastic Fusion
Author
Baum, Marcus ; Hanebeck, Uwe D.
Author_Institution
Intell. Sensor-Actuator-Syst. Lab. (ISAS), Karlsruhe Inst. of Technol. (KIT), Karlsruhe, Germany
Volume
48
Issue
4
fYear
2012
fDate
10/1/2012 12:00:00 AM
Firstpage
3103
Lastpage
3115
Abstract
A novel approach for extended object tracking is presented. In contrast to existing approaches, no statistical assumptions about the location of the measurement sources on the extended target object are made. As a consequence, a combined set-theoretic and stochastic estimator is obtained that is robust to systematic errors in the target model. The benefits of the new approach is demonstrated by means of simulations.
Keywords
estimation theory; object tracking; set theory; stochastic processes; combined set-theoretic-stochastic estimator; extended object tracking; extended target object; measurement location; robust errors; stochastic fusion; systematic errors; Noise measurement; Pollution measurement; Radar tracking; Stochastic processes; Target tracking;
fLanguage
English
Journal_Title
Aerospace and Electronic Systems, IEEE Transactions on
Publisher
ieee
ISSN
0018-9251
Type
jour
DOI
10.1109/TAES.2012.6324680
Filename
6324680
Link To Document