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Underwater multi-target tracking with particle filters

Author
Masmitja, I.; Gomariz, S.; Del Rio, J.; Bouvet, P.; Aguzzi, J.
Type of activity
Presentation of work at congresses
Name of edition
OCEANS 2018 MTS/IEEE Charleston
Date of publication
2018
Presentation's date
2018-05-28
Book of congress proceedings
OCEANS 2018 MTS/IEEE Charleston
First page
1
Last page
5
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
DOI
10.1109/OCEANSKOBE.2018.8558865
Repository
http://hdl.handle.net/2117/132580 Open in new window
URL
https://ieeexplore.ieee.org/document/8558865 Open in new window
Abstract
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 u...
Citation
Masmitja, 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.
Keywords
Autonomous underwater vehicles, Interoperability, Mobile robots, Particle filter study, Particle filtering (numerical methods), Particle filters, Single surface vehicle, Target tracking, Underwater targets
Group of research
PERC-UPC - Power Electronics Research Centre
SARTI - Technological Development Center for Remote Acquisition and Data Processing System
SARTI-MAR - Remote Acquisition and Data Processing Systems in Marine Environment

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