Leveraging Deep Learning for Visual Odometry Using Optical Flow

In this paper, we study deep learning approaches for monocular visual odometry (VO). Deep learning solutions have shown to be effective in VO applications, replacing the need for highly engineered steps, such as feature extraction and outlier rejection in a traditional pipeline. We propose a new arc...

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Detalles Bibliográficos
Autores principales: Pandey, Tejas, Pena, Dexmont, Byrne, Jonathan, Moloney, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Communication
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7918879/
https://www.ncbi.nlm.nih.gov/pubmed/33673119
http://dx.doi.org/10.3390/s21041313

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7918879/
https://www.ncbi.nlm.nih.gov/pubmed/33673119
http://dx.doi.org/10.3390/s21041313

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