This study discusses traditional techniques and deep learning-based methodologies for monocular visual odometry. The paper presents an overview of state-of-the-art methods that could be useful for displacement measurement applications. From the review of the state of art, it has been seen in particular that new deep learning-based methods may reduce dependencies on the equipment in the system, with respect to traditional methods.
Survey and Research Challenges in Monocular Visual Odometry
Neyestani A.;Picariello F.;Basiri A.;Daponte P.;De Vito L.
2023-01-01
Abstract
This study discusses traditional techniques and deep learning-based methodologies for monocular visual odometry. The paper presents an overview of state-of-the-art methods that could be useful for displacement measurement applications. From the review of the state of art, it has been seen in particular that new deep learning-based methods may reduce dependencies on the equipment in the system, with respect to traditional methods.File in questo prodotto:
Non ci sono file associati a questo prodotto.
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
