Computer Vision Based Indoor Navigation System for Ship Model (CROSBI ID 432373)
Ocjenski rad | sveučilišni preddiplomski završni rad
Podaci o odgovornosti
Kučić, Mario
Marko Valčić
engleski
Computer Vision Based Indoor Navigation System for Ship Model
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.
Computer Vision, Estimation, Kalman Filter, Particle Filter
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Podaci o izdanju
88
06.11.2019.
obranjeno
Podaci o ustanovi koja je dodijelila akademski stupanj
Pomorski fakultet u Rijeci
Rijeka
Povezanost rada
Brodogradnja, Elektrotehnika, Računarstvo, Tehnologija prometa i transport