From Pixels to Precision: A Survey of Monocular Visual Odometry in Digital Twin Applications

From Pixels to Precision: A Survey of Monocular Visual Odometry in Digital Twin Applications

This survey provides a comprehensive overview of traditional techniques and deep learning-based methodologies for monocular visual odometry (VO), with a focus on displacement measurement applications. This paper outlines the fundamental concepts and general procedures for VO implementation, includin...

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Bibliographic Details
Main Authors: Arman Neyestani, Francesco Picariello, Imran Ahmed, Pasquale Daponte, Luca De Vito
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Sensors
Subjects:
monocular
localization
feature based
odometry
survey
machine learning
Online Access:https://www.mdpi.com/1424-8220/24/4/1274

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