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

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

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 e...

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Bibliographic Details
Main Author: Caraffa, Andrea
Format: Others
Language:English
Published: KTH, Skolan för elektroteknik och datavetenskap (EECS) 2021
Subjects:
Deep Learning
Monocular Visual Odometry
Computer Vision
Autonomous Underwater Navigation
Autonomous Underwater Vehicle
Djupinlärning
Monokulär Visuell Odometri
Datorseende
Autonom Undervattensnavigering
Autonomt Undervattensfordon
Computer Sciences
Datavetenskap (datalogi)
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-305438

Internet

http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-305438

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