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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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| Publicado no: | Sensors (Basel) |
|---|---|
| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7918879/ https://ncbi.nlm.nih.gov/pubmed/33673119 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s21041313 |
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