Pregled bibliografske jedinice broj: 1055562
Computer Vision Based Indoor Navigation System for Ship Model
Computer Vision Based Indoor Navigation System for Ship Model, 2019., diplomski rad, preddiplomski, Pomorski fakultet, Rijeka
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Naslov
Computer Vision Based Indoor Navigation System for Ship Model
Autori
Kučić, Mario
Vrsta, podvrsta i kategorija rada
Ocjenski radovi, diplomski rad, preddiplomski
Fakultet
Pomorski fakultet
Mjesto
Rijeka
Datum
06.11
Godina
2019
Stranica
88
Mentor
Marko Valčić
Ključne riječi
Computer Vision, Estimation, Kalman Filter, Particle Filter
Sažetak
The subject of the bachelor thesis is sensory support for a navigation system. The final goal is the development of an algorithm on around stereo cameras to accurately estimate the internal velocities and orientation of the ship model. Except for the stereo camera, on the ship model is installed accelerometer, gyroscope, and magnetometer. To improve the accuracy of estimation, sensors are fused using Kalman and particle filter. Sensors are placed on the ship model, and the system is tested in a basin. Experiments were done in calm water conditions and wavy water conditions. Accuracy validation of estimations are done using an optical camera placed above the basin.
Izvorni jezik
Engleski
Znanstvena područja
Brodogradnja, Elektrotehnika, Računarstvo, Tehnologija prometa i transport
POVEZANOST RADA