Pregled bibliografske jedinice broj: 963490
A side-scan sonar data-driven coverage planning and tracking framework
A side-scan sonar data-driven coverage planning and tracking framework // Annual reviews in control, 46 (2018), 268-280 doi:10.1016/j.arcontrol.2018.10.012 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 963490 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
A side-scan sonar data-driven coverage planning and tracking framework
Autori
Kapetanović, Nadir ; Mišković, Nikola ; Tahirović, Adnan ; Bibuli, Marco ; Caccia, Massimo
Izvornik
Annual reviews in control (1367-5788) 46
(2018);
268-280
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
Autonomous underwater vehicles ; Coverage path planning ; Sensor data-driven coverage ; Side-scan sonar
Sažetak
Mapping an unknown large-scale marine area by a side-scan sonar onboard a marine vehicle as quickly as possible is often of great importance. It is also important that a-priori unknown interesting parts of the area are scanned in more detail, i.e. with the removal of sonic shadows. In contrast to the standard overlap-all-sonar-ranges lawnmower pattern offline static coverage problem solution for side-scan sonar missions, here a novel online side-scan sonar data-driven coverage solution is proposed. The proposed coverage algorithm provides a coverage solution based on local information gain from side-scan sonar data. At the same time, the solution is generated in such a way that coverage path length/time is minimized while covering the same area as the standard lawnmower. Upper and lower bounds of the proposed algorithm’s improvement compared to the overlap-all-sonar-ranges lawnmower method are estimated analytically and validated through extensive mission parameters variation simulations. Simulation results show that this approach can cut down coverage path length/time significantly compared to the standard lawnmower method in most application cases.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika, Temeljne tehničke znanosti
POVEZANOST RADA
Projekti:
703/1MED15_3:1_M12_282
984807
EK-H2020-691980 - Izvrsnost LAPOST-a u pomorskoj robotici (EXCELLABUST) (Mišković, Nikola, EK ) ( CroRIS)
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb
Citiraj ovu publikaciju:
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
Uključenost u ostale bibliografske baze podataka::
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- Zentrallblatt für Mathematik/Mathematical Abstracts
- Compendex
- GeoRef
- INSPEC
- MathSciNet
- Zentralblatt EBSCOhost
- Emerald Computer Abstracts
- Engineering Index Monthly
- Gale Academic OneFile
- Gale Infotrac Custom
- PubMed