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Pregled bibliografske jedinice broj: 1193387

A visual servoing scheme for autonomous aquaculture net pens inspection using ROV


Akram, Waseem; Casavola, Alessandro; Kapetanović, Nadir; Mišković, Nikola
A visual servoing scheme for autonomous aquaculture net pens inspection using ROV // Sensors, 22 (2022), 9; 3525, 23 doi:10.3390/s22093525 (međunarodna recenzija, članak, znanstveni)


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Naslov
A visual servoing scheme for autonomous aquaculture net pens inspection using ROV

Autori
Akram, Waseem ; Casavola, Alessandro ; Kapetanović, Nadir ; Mišković, Nikola

Izvornik
Sensors (1424-8220) 22 (2022), 9; 3525, 23

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
autonomous vehicles ; inspection ; aquaculture applications ; computer vision

Sažetak
Aquaculture net pens inspection and monitoring are important to ensure net stability and fish health in the fish farms. Remotely operated vehicles (ROVs) offer a low-cost and sophisticated solution for the regular inspection of the underwater fish net pens due to their ability of visual sensing and autonomy in a challenging and dynamic aquaculture environment. In this paper, we report the integration of an ROV with a visual servoing scheme for regular inspection and tracking of the net pens. We propose a vision-based positioning scheme that consists of an object detector, a pose generator, and a closed-loop controller. The system employs a modular approach that first utilizes two easily identifiable parallel ropes attached to the net for image processing through traditional computer vision methods. Second, the reference positions of the ROV relative to the net plane are extracted on the basis of a vision triangulation method. Third, a closed-loop control law is employed to instruct the vehicle to traverse from top to bottom along the net plane to inspect its status. The proposed vision-based scheme has been implemented and tested both through simulations and field experiments. The extensive experimental results have allowed the assessment of the performance of the scheme that resulted satisfactorily and can supplement the traditional aquaculture net pens inspection and tracking systems.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika



POVEZANOST RADA


Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb

Profili:

Avatar Url Nadir Kapetanović (autor)

Avatar Url Nikola Mišković (autor)

Poveznice na cjeloviti tekst rada:

doi www.mdpi.com

Citiraj ovu publikaciju:

Akram, Waseem; Casavola, Alessandro; Kapetanović, Nadir; Mišković, Nikola
A visual servoing scheme for autonomous aquaculture net pens inspection using ROV // Sensors, 22 (2022), 9; 3525, 23 doi:10.3390/s22093525 (međunarodna recenzija, članak, znanstveni)
Akram, W., Casavola, A., Kapetanović, N. & Mišković, N. (2022) A visual servoing scheme for autonomous aquaculture net pens inspection using ROV. Sensors, 22 (9), 3525, 23 doi:10.3390/s22093525.
@article{article, author = {Akram, Waseem and Casavola, Alessandro and Kapetanovi\'{c}, Nadir and Mi\v{s}kovi\'{c}, Nikola}, year = {2022}, pages = {23}, DOI = {10.3390/s22093525}, chapter = {3525}, keywords = {autonomous vehicles, inspection, aquaculture applications, computer vision}, journal = {Sensors}, doi = {10.3390/s22093525}, volume = {22}, number = {9}, issn = {1424-8220}, title = {A visual servoing scheme for autonomous aquaculture net pens inspection using ROV}, keyword = {autonomous vehicles, inspection, aquaculture applications, computer vision}, chapternumber = {3525} }
@article{article, author = {Akram, Waseem and Casavola, Alessandro and Kapetanovi\'{c}, Nadir and Mi\v{s}kovi\'{c}, Nikola}, year = {2022}, pages = {23}, DOI = {10.3390/s22093525}, chapter = {3525}, keywords = {autonomous vehicles, inspection, aquaculture applications, computer vision}, journal = {Sensors}, doi = {10.3390/s22093525}, volume = {22}, number = {9}, issn = {1424-8220}, title = {A visual servoing scheme for autonomous aquaculture net pens inspection using ROV}, keyword = {autonomous vehicles, inspection, aquaculture applications, computer vision}, chapternumber = {3525} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus
  • MEDLINE


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