Unsupervised Depth Completion Guided by Visual Inertial System and Confidence

This paper solves the problem of depth completion learning from sparse depth maps and RGB images. Specifically, a real-time unsupervised depth completion method in dynamic scenes guided by visual inertial system and confidence is described. The problems such as occlusion (dynamic scenes), limited co...

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Detalles Bibliográficos
Autores principales: Zhang, Hanxuan, Huo, Ju
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10098667/
https://www.ncbi.nlm.nih.gov/pubmed/37050493
http://dx.doi.org/10.3390/s23073430

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10098667/
https://www.ncbi.nlm.nih.gov/pubmed/37050493
http://dx.doi.org/10.3390/s23073430

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