225 citations · 334 across the 5 of their papers we have counts for
5 papers
Distributed Localization and Tracking of Mobile Networks Including Noncooperative Objects - Extended Version
Florian Meyer, Ondrej Hlinka, Henk Wymeersch +2
We propose a Bayesian method for distributed sequential localization of mobile networks composed of both cooperative agents and noncooperative objects. Our method provides a consis…
Sigma Point Belief Propagation
Florian Meyer, Ondrej Hlinka, Franz Hlawatsch
The sigma point (SP) filter, also known as unscented Kalman filter, is an attractive alternative to the extended Kalman filter and the particle filter. Here, we extend the SP filte…
Simultaneous Distributed Sensor Self-Localization and Target Tracking Using Belief Propagation and Likelihood Consensus
Florian Meyer, Erwin Riegler, Ondrej Hlinka +1
We introduce the framework of cooperative simultaneous localization and tracking (CoSLAT), which provides a consistent combination of cooperative self-localization (CSL) and distri…
Likelihood Consensus-Based Distributed Particle Filtering with Distributed Proposal Density Adaptation
Ondrej Hlinka, Franz Hlawatsch, Petar M. Djuric
We present a consensus-based distributed particle filter (PF) for wireless sensor networks. Each sensor runs a local PF to compute a global state estimate that takes into account t…
Likelihood Consensus and Its Application to Distributed Particle Filtering
Ondrej Hlinka, Ondrej Sluciak, Franz Hlawatsch +2
We consider distributed state estimation in a wireless sensor network without a fusion center. Each sensor performs a global estimation task---based on the past and current measure…