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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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
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 |