DocumentCode :
681937
Title :
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
Link To Document :
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