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Pregled bibliografske jedinice broj: 701647

Simulation Environment for Creating Artificial Range Data in Underwater Object Reconstruction


Aleksi, Ivan; Kraus, Dieter; Hocenski, Željko
Simulation Environment for Creating Artificial Range Data in Underwater Object Reconstruction // MIPRO 2014 - 37th international convention on information and communication technology, electronics and microelectronics / Biljanović, Petar (ur.).
Zagreb: GRAFIK, Rijeka, 2014. str. 1200-1203 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


Naslov
Simulation Environment for Creating Artificial Range Data in Underwater Object Reconstruction

Autori
Aleksi, Ivan ; Kraus, Dieter ; Hocenski, Željko

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
MIPRO 2014 - 37th international convention on information and communication technology, electronics and microelectronics / Biljanović, Petar - Zagreb : GRAFIK, Rijeka, 2014, 1200-1203

ISBN
978-953-233-078-6

Skup
MIPRO 2014

Mjesto i datum
Opatija, Croatia, 26-30.05.2014

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Simulation Environment; 3D Models; Object Reconstruction; Automated Target Detection; Sonar

Sažetak
This paper proposes a simulation environment for creating simulated ranging data of high resolution sonar systems. It enables the assessment of underwater object reconstruction techniques and the verification of various methods for automated target detection. As an input, the proposed environment uses the AUV's trajectory, a model of the sonar system attached to the AUV and 3D CAD models of underwater objects. As an output one can get a point cloud of the whole underwater object or 2D images, i.e. range data, which are smaller parts of a large object's 3D model. Noise is modeled and used as additional input in order to generate outputs that are closer to the real- world. The simulated data is processed and evaluated, where well known sonar signal processing methods are used to process the simulated acoustic signals. Automated target detection is achieved by processing the simulated 2D range data with advanced image processing techniques.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo



POVEZANOST RADA


Projekt / tema
165-0361621-2000 - Distribuirano računalno upravljanje u transportu i industrijskim pogonima (Željko Hocenski, )

Ustanove
Fakultet elektrotehnike, računarstva i informacijskih tehnologija Osijek