Underwater multi-target tracking with particle filters
Document typeConference lecture
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Rights accessOpen Access
Robotic platforms communication and interoperability is of relevance for marine science and industrial monitoring. We present results of a particle filter study based on underwater Multi-Target Tracking (MTT) using Autonomous Underwater Vehicles (AUV). The main goal was to assess the viability of using a single surface vehicle as a mobile landmark to track and follow a fleet of underwater targets, each one equipped with an acoustic tag where the slant ranges between the surface vehicle and the underwater targets are the unique input for the filters.
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CitationMasmitja, I. [et al.]. Underwater multi-target tracking with particle filters. A: OCEANS MTS/IEEE Charleston. "OCEANS 2018 MTS/IEEE Charleston". Institute of Electrical and Electronics Engineers (IEEE), 2018, p. 1-5.
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