Cargando…
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: | , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
|
| 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 |