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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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| Yayımlandı: | Sensors (Basel) |
|---|---|
| Asıl Yazarlar: | , , , |
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
MDPI
2021
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| Konular: | |
| Online Erişim: | 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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