diplomsko delo
Franc Oven (Avtor), Matej Kristan (Mentor)

Povzetek

Detekcija ovir z zlivanjem senzorske informacije za avtonomna plovila

Ključne besede

stereo sistem;3D inferenca;inercijska merilna naprava;horizont;segmentacija;računalništvo;računalništvo in informatika;univerzitetni študij;diplomske naloge;

Podatki

Jezik: Slovenski jezik
Leto izida:
Tipologija: 2.11 - Diplomsko delo
Organizacija: UL FRI - Fakulteta za računalništvo in informatiko
Založnik: [F. Oven]
UDK: 004.93(043.2)
COBISS: 1536127939 Povezava se bo odprla v novem oknu
Št. ogledov: 82
Št. prenosov: 19
Ocena: 0 (0 glasov)
Metapodatki: JSON JSON-RDF JSON-LD TURTLE N-TRIPLES XML RDFA MICRODATA DC-XML DC-RDF RDF

Ostali podatki

Sekundarni jezik: Angleški jezik
Sekundarni naslov: Obstacle detection through sensor fusion is unmanned surface vehicles
Sekundarni povzetek: In our diploma thesis we issue a navigation problem of autonomous surface vehicles. Presume we have a vessel appointed with sensors, such as GPS, IMU, compass, a stereo sistem of two cameras and a standalone processing unit that combines sensor data and performs segmentation and planning in real time. We begin by introducing the algorithm of segmentation, that along with help of advanced computer vision methods extracts useful visual information, therefore avoids obstacles in its path (boats, swimmers, buoys). Then, we focus on horizon estimation by taking into account data of innertial measurement unit, with whom we improve the estimation of a sea border. To improve localization of obstacles in front of the vessel, we calculate depth of every pixel in the image. Image pairs are first rectified as we simplify the correspondence search to single dimension. Furthermore, we present, implement and evaluate our methods. We conclude by discussing further work that can be done.
Sekundarne ključne besede: stereo system;3D inference;inertial measurement unit;horizon;segmentation;computer science;computer and information science;diploma;
Vrsta datoteke: application/pdf
Vrsta dela (COBISS): Diplomsko delo/naloga
Študijski program: 1000468
Komentar na gradivo: Univ. v Ljubljani, Fak. za računalništvo in informatiko
Strani: 58 str.
ID: 8739473