A Review of Using Visual Odometery Methods in Autonomous UAV Navigation in GPS-Denied Environment-Reference-Cited by-同舟云学术

A Review of Using Visual Odometery Methods in Autonomous UAV Navigation in GPS-Denied Environment

Published:2023-12-01 Issue:1 Volume:15 Page:14-32
ISSN:2066-8910
Container-title:Acta Universitatis Sapientiae, Electrical and Mechanical Engineering
language:en
Short-container-title:

Author:

Rostum Hussam M.¹,Vásárhelyi József²

Affiliation:

1. 1 Institute of Automation and Info-Communication, Faculty of Mechanical engineering and Informatics , University of Miskolc , Miskolc

2. 2 Institute of Automation and Info-communication, Faculty of Mechanical engineering and Informatics , University of Miskolc , Miskolc

Abstract

Abstract This review paper centers on strategies employed for location determination in regions lacking GPS signals. It primarily explores a range of vision-based methods tailored for this purpose, categorizing them accordingly. The article delves into the utilization of optical flow for feature extraction-based Visual Odometry (VO) and delves into advanced optical flow estimation methods that hinge on deep learning techniques. It compares the efficacy and practical applications of frequently utilized visual localization methods while also checking the efficiency of previous researches by reapplying the algorithms to new data and comparing the results.

Publisher

Walter de Gruyter GmbH

Subject

Polymers and Plastics,General Environmental Science

Link

https://www.sciendo.com/pdf/10.2478/auseme-2023-0002

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