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Pregled bibliografske jedinice broj: 1142951

Target detection for visual collision avoidance system


Petković, Miro; Kezić, Danko; Vujović, Igor; Pavić, Ivan
Target detection for visual collision avoidance system // Pedagogika-Pedagogy, 93 (2021), 7s; 159-166 doi:10.53656/ped21-7s.14targ (međunarodna recenzija, članak, znanstveni)


CROSBI ID: 1142951 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Target detection for visual collision avoidance system

Autori
Petković, Miro ; Kezić, Danko ; Vujović, Igor ; Pavić, Ivan

Izvornik
Pedagogika-Pedagogy (0861-3982) 93 (2021), 7s; 159-166

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

Ključne riječi
collision avoidance ; MASS ; COLREGs ; YOLO ; kalman filter

Sažetak
Automatic Identification Systems (AIS) and Automatic Radar Plotting Aids (ARPA) are commonly used to detect targets for collision avoidance. However, AIS cannot detect targets without AIS transmitters and ARPA has limitations due to blind sector and small targets may not be detected. Advances in computer performance and video-based detection generated much interest in developing intelligent video surveillance systems to achieve autonomous navigation. To develop a reliable collision avoidance system, we propose the use of a visual camera for real-time object detection and target tracking. Moreover, the system should follow the International Regulations for Preventing Collisions at Sea (COLREGs) to avoid catastrophic accidents. In this paper only a part of the system is presented. For real-time object detection, the You Only Look Once (YOLO) ver. 3 convolutional neural network is used, and the target tracking filter based on a Kalman filter with built-in estimated relative position and velocity.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Tehnologija prometa i transport



POVEZANOST RADA


Projekti:
VLASTITA-SREDSTVA-pfst-2018-03 - Uspostava referalne baze za istraživanje utjecaja vremenskih prilika na video nadzor u pomorskom prometu (ERDBSIWCMVS) (Vujović, Igor, VLASTITA-SREDSTVA - Interni poziv ustanove) ( CroRIS)

Ustanove:
Pomorski fakultet, Split

Profili:

Avatar Url Ivan Pavić (autor)

Avatar Url Danko Kezić (autor)

Avatar Url Miro Petković (autor)

Avatar Url Igor Vujović (autor)

Poveznice na cjeloviti tekst rada:

doi press.azbuki.bg

Citiraj ovu publikaciju:

Petković, Miro; Kezić, Danko; Vujović, Igor; Pavić, Ivan
Target detection for visual collision avoidance system // Pedagogika-Pedagogy, 93 (2021), 7s; 159-166 doi:10.53656/ped21-7s.14targ (međunarodna recenzija, članak, znanstveni)
Petković, M., Kezić, D., Vujović, I. & Pavić, I. (2021) Target detection for visual collision avoidance system. Pedagogika-Pedagogy, 93 (7s), 159-166 doi:10.53656/ped21-7s.14targ.
@article{article, author = {Petkovi\'{c}, Miro and Kezi\'{c}, Danko and Vujovi\'{c}, Igor and Pavi\'{c}, Ivan}, year = {2021}, pages = {159-166}, DOI = {10.53656/ped21-7s.14targ}, keywords = {collision avoidance, MASS, COLREGs, YOLO, kalman filter}, journal = {Pedagogika-Pedagogy}, doi = {10.53656/ped21-7s.14targ}, volume = {93}, number = {7s}, issn = {0861-3982}, title = {Target detection for visual collision avoidance system}, keyword = {collision avoidance, MASS, COLREGs, YOLO, kalman filter} }
@article{article, author = {Petkovi\'{c}, Miro and Kezi\'{c}, Danko and Vujovi\'{c}, Igor and Pavi\'{c}, Ivan}, year = {2021}, pages = {159-166}, DOI = {10.53656/ped21-7s.14targ}, keywords = {collision avoidance, MASS, COLREGs, YOLO, kalman filter}, journal = {Pedagogika-Pedagogy}, doi = {10.53656/ped21-7s.14targ}, volume = {93}, number = {7s}, issn = {0861-3982}, title = {Target detection for visual collision avoidance system}, keyword = {collision avoidance, MASS, COLREGs, YOLO, kalman filter} }

Časopis indeksira:


  • Web of Science Core Collection (WoSCC)
    • Emerging Sources Citation Index (ESCI)


Uključenost u ostale bibliografske baze podataka::


  • Web of Science: JCR
  • ERIH PLUS
  • RSCI
  • EBSCOhost


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