Talks and Poster Presentations (without Proceedings-Entry):

F. Meyer, F. Hlawatsch, H. Wymeersch:
"Cooperative Simultaneous Localization and Tracking (CoSLAT) with Reduced Complexity and Communication";
Talk: SWEPOS-2013, Göteborg, Schweden (invited); 09-25-2013.

German 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 communication costs because it uses a particle-based message representation. 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.

Electronic version of the publication:

Created from the Publication Database of the Vienna University of Technology.