<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>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.</p>
</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.

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

Acta Universitatis Sapientiae, Electrical and Mechanical Engineering

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

This review paper centers on strategies employed for location determination in regions lacking GPS signals. It primarily explores a range of vision-based...

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

Pubblicato online: 25 dic 2023

Pagine: 14 - 32

Ricevuto: 21 nov 2023

DOI: https://doi.org/10.2478/auseme-2023-0002

Parole chiave
Visual odometry, Optical flow, Deep

© 2023 Hussam M. Rostum et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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

Pubblicato online: 25 dic 2023

Pagine: 14 - 32

Ricevuto: 21 nov 2023

DOI: https://doi.org/10.2478/auseme-2023-0002

Parole chiaveVisual odometry, Optical flow, Deep

© 2023 Hussam M. Rostum et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Parole chiave
Visual odometry, Optical flow, Deep