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Tlorisni pogled okoli mobilnega robota
ID RAJŠEL, NEJC (Author), ID Skočaj, Danijel (Mentor) More about this mentor... This link opens in a new window

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Abstract
Ena izmed zanimivih funkcionalnosti sodobne avtomobilske industrije je upo- raba več kamer za nadzor okolice vozila. Sistem sestavljajo štiri kamere, ka- terih rezultat je enotna slika, ki ponazarja, kakšna bi bila okolica avtomobila, zajeta s kamero, postavljeno nad avtomobilom. V tem diplomskem delu smo implementirali sistem s štirimi kamerami, nameščenimi na mobilnega robota. Kamere so nameščene tako, da pokrivajo celotno okolico mobilnega robota. Izdelali smo programsko opremo, ki na slikah odpravi optično distorzijo, slike poveže v skupni koordinatni sistem in s postopkom mozaičenja tvori enotno tlorisno sliko. Programsko opremo smo optimizirali tako, da smo lahko v živo nadzirali okolico mobilnega robota med premikanjem. Rezultati so po- kazali, da tak sistem deluje učinkovito, kadar prikazujemo nižje predmete na ravnini.

Language:Slovenian
Keywords:sistem kamer, mobilni robot, računalniˇski vid, OpenCV, aruco označba
Work type:Bachelor thesis/paper
Typology:2.11 - Undergraduate Thesis
Organization:FRI - Faculty of Computer and Information Science
Year:2024
PID:20.500.12556/RUL-155025 This link opens in a new window
COBISS.SI-ID:189883651 This link opens in a new window
Publication date in RUL:14.03.2024
Views:93
Downloads:19
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Secondary language

Language:English
Title:Top view around the mobile robot
Abstract:
One of the interesting functionalities of the modern automotive industry is the use of multiple cameras to monitor the vehicle’s surroundings. The system consists of four cameras, the result of which is a single image that illustrates what the surroundings of the car would look like, captured by a camera placed above the car. In this thesis, we implemented a system with four cameras mounted on a mobile robot. The cameras are positioned to cover the entire surroundings of the mobile robot. We have developed software that eliminates optical distortion in images, connects the images in a common coordinate system, and creates a single floor plan image through the mosaic process. We optimized the software so that we could control the surroundings of the mobile robot live while it was moving. The results showed that such a system works effectively when displaying lower objects on a plane.

Keywords:camera system, mobile robot, computer vision, OpenCV, aruco marker

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