DocumentCode
3606268
Title
Linear-time JPDAF based on many-2-many approximation of marginal association probabilities
Author
Baum, M.
Author_Institution
Dept. of Inf., Karlsruhe Inst. of Technol. (KIT), Karlsruhe, Germany
Volume
51
Issue
19
fYear
2015
Firstpage
1526
Lastpage
1528
Abstract
A novel linear-time approximation for the marginal association probabilities in the JPDAF is proposed. The key idea is to combine two existing approximations that are based on (computationally cheap) many-2-1 and 1-2-many association models. Simulations demonstrate the benefits of the novel approximation, called many-2-many approximation, in comparison with existing linear-time approaches.
Keywords
approximation theory; filtering theory; object tracking; probability; sensor fusion; 1-2-many association model; joint probabilistic data association filter; linear-time JPDAF; linear-time approximation; many-2-1 association model; many-2-many approximation; marginal association probabilities; measurement-to-object association; object tracking;
fLanguage
English
Journal_Title
Electronics Letters
Publisher
iet
ISSN
0013-5194
Type
jour
DOI
10.1049/el.2015.1411
Filename
7272241
Link To Document