Talks and Poster Presentations (with Proceedings-Entry):
F. Meyer, F. Hlawatsch, H. Wymeersch:
"Cooperative Simultaneous Localization and Tracking (CoSLAT) with Reduced Complexity and Communication";
Talk: IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013),
- 05-31-2013; in: "IEEE ICASSP-2013",
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.
Distributed target tracking, cooperative localization, CoSLAT, nonparametric belief propagation, likelihood consensus
Electronic version of the publication:
Created from the Publication Database of the Vienna University of Technology.