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arXiv · 1403.1824

Distributed Localization and Tracking of Mobile Networks Including Noncooperative Objects - Extended Version

Florian Meyer·Ondrej Hlinka·Henk Wymeersch·Erwin Riegler·Franz Hlawatsch
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Abstract

We propose a Bayesian method for distributed sequential localization of mobile networks composed of both cooperative agents and noncooperative objects. Our method provides a consistent combination of cooperative self-localization (CS) and distributed tracking (DT). Multiple mobile agents and objects are localized and tracked using measurements between agents and objects and between agents. For a distributed operation and low complexity, we combine particle-based belief propagation with a consensus or gossip scheme. High localization accuracy is achieved through a probabilistic information transfer between the CS and DT parts of the underlying factor graph. Simulation results demonstrate significant improvements in both agent self-localization and object localization performance compared to separate CS and DT, and very good scaling properties with respect to the numbers of agents and objects.

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Florian Meyer, Ondrej Hlinka, Henk Wymeersch, Erwin Riegler, Franz Hlawatsch. 2014-03-07. Distributed Localization and Tracking of Mobile Networks Including Noncooperative Objects - Extended Version. https://arxiv.org/abs/1403.1824

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