Chasing fish: Tracking and control in a autonomous multi-vehicle real-world experiment

Author

Pinto, Joel ; Faria, Margarida ; Fortuna, Joao ; Martins, Rui P. ; Sousa, J. ; Queiroz, Nuno ; Py, Frederic ; Rajan, K.

Author_Institution

Fac. de Eng., Univ. do Porto, Porto, Portugal

fYear

2013

fDate

23-27 Sept. 2013

Firstpage

1

Lastpage

6

Abstract

This paper describes scientific and engineering efforts towards remote sensing, tagging and continuous tracking of sunfish specimens (Mola mola, world largest bony fish) in the open sea. This ongoing experiment is done in the context of a collaboration between MBARI and Porto University and bridges biology, fisheries research, autonomy and control with use of satellite tags, autonomous aerial, surface and underwater vehicles, as well as new software tools for remote asset control and situational awareness. Here we describe technologies and overall architecture of the experiment and results from initial deployments.

Keywords

autonomous aerial vehicles; remote sensing; satellite communication; software tools; target tracking; underwater vehicles; MBARI; Mola mola; Porto University; autonomous aerial vehicles; autonomous multivehicle control; autonomous multivehicle tracking; bridges biology; chasing fish; continuous tracking; fisheries research; open sea; real-world experiment; remote asset control; remote sensing; satellite tags; situational awareness; software tools; sunfish specimens; surface vehicles; underwater vehicles; world largest bony fish; Inductors; Marine vehicles; Ocean temperature; Robot sensing systems; Sea surface; Tracking; Vehicles;

fLanguage

English

Publisher

ieee

Conference_Titel

Oceans - San Diego, 2013

Conference_Location

San Diego, CA

Type

conf

Filename

6741228