RAUM-VO: Rotational Adjusted Unsupervised Monocular Visual Odometry

Unsupervised learning for monocular camera motion and 3D scene understanding has gained popularity over traditional methods, which rely on epipolar geometry or non-linear optimization. Notably, deep learning can overcome many issues of monocular vision, such as perceptual aliasing, low-textured area...

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Detalles Bibliográficos
Autores principales: Cimarelli, Claudio, Bavle, Hriday, Sanchez-Lopez, Jose Luis, Voos, Holger
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9003133/
https://www.ncbi.nlm.nih.gov/pubmed/35408264
http://dx.doi.org/10.3390/s22072651

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9003133/
https://www.ncbi.nlm.nih.gov/pubmed/35408264
http://dx.doi.org/10.3390/s22072651

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