Title
Cooperative simultaneous localization and tracking (coslat) with reduced complexity and communication
Abstract
The recently introduced framework of cooperative simultaneous localization and tracking (CoSLAT) combines Bayesian cooperative agent self-localization with distributed target tracking. The original CoSLAT algorithm suffers from high computation and communication costs because it uses a particle-based message representation. Here, we propose an advanced hybrid particle-based and parametric message passing algorithm for CoSLAT in which both costs are significantly reduced. Simulation results show that the localization/tracking performance is not affected.
Year
DOI
Venue
2013
10.1109/ICASSP.2013.6638508
Acoustics, Speech and Signal Processing
Keywords
Field
DocType
belief networks,cooperative systems,message passing,target tracking,Bayesian cooperative agent self-localization,CoSLAT algorithm,cooperative simultaneous localization and tracking,distributed target tracking,hybrid particle-based and parametric message passing algorithm,particle-based message representation,reduced complexity,CoSLAT,Distributed target tracking,cooperative localization,likelihood consensus,nonparametric belief propagation
Pattern recognition,Computer science,Algorithm,Parametric statistics,Artificial intelligence,Nonparametric belief propagation,Artificial neural network,Message passing,Bayesian probability,Computation,Distributed computing
Conference
ISSN
Citations 
PageRank 
1520-6149
9
0.57
References 
Authors
17
3
Name
Order
Citations
PageRank
Florian Meyer116619.58
Franz Hlawatsch21288118.49
Henk Wymeersch31589128.47