TY  - CONF
AU  - Masmitja, I.
AU  - Gomariz, S.
AU  - Del Rio, J.
AU  - Bouvet, P.
AU  - Aguzzi, J.
T3  - OCEANS 2018 MTS/IEEE Charleston
PY  - 2018
Y1  - 2018
SP  - 1
EP  - 5
PB  - Institute of Electrical and Electronics Engineers (IEEE)
DO  - 10.1109/OCEANSKOBE.2018.8558865
UR  - https://ieeexplore.ieee.org/document/8558865
AB  - 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.
AB  - © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
T2  - Oceans MTS/IEEE
TI  - Underwater multi-target tracking with particle filters
ER  -