Essays about: "Monokulär Visuell Odometri"

Found 3 essays containing the words Monokulär Visuell Odometri.

  1. 1. Deep Monocular Visual Odometry for fixed-winged Aircraft : Exploring Deep-VO designed for ground use in a high altitude aerial environment

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Oliver Öhrstam Lindström; [2022]
    Keywords : Deep-VO; Aviation; Fixed-Wing; Aircraft; Deep Learning; Deep-VO; Hög Höjd; Flygplan; Deep Learning;

    Abstract : In aviation, safety is a big concern. Knowing the position of an aircraft at all times is of high importance. Today most aircraft utilize Global Navigation Satellite Systems (GNSS) for localization and precision navigation because of the small position error which do not increase over time. READ MORE

  2. 2. Monocular Visual Odometry for Autonomous Underwater Navigation : An analysis of learning-based monocular visual odometry approaches in underwater scenarios

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Andrea Caraffa; [2021]
    Keywords : Deep Learning; Monocular Visual Odometry; Computer Vision; Autonomous Underwater Navigation; Autonomous Underwater Vehicle; Djupinlärning; Monokulär Visuell Odometri; Datorseende; Autonom Undervattensnavigering; Autonomt Undervattensfordon;

    Abstract : Visual Odometry (VO) is the process of estimating the relative motion of a vehicle by using solely image data gathered from the camera. In underwater environments, VO becomes extremely challenging but valuable since ordinary sensors for on-road localization are usually unpractical in these hostile environments. READ MORE

  3. 3. Monocular Visual Odometry for Underwater Navigation : An examination of the performance of two methods

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Maxime Voisin-Denoual; [2018]
    Keywords : Visual Odometry; Orbslam; AUV; autonomous underwater vehicle; monocular;

    Abstract : This thesis examines two methods for monocular visual odometry, FAST + KLT and ORBSLAM2, in the case of underwater environments.This is done by implementing and testing the methods on different underwater datasets. The results for the FAST + KLT provide no evidence that this method is effective in underwater settings. READ MORE