Cargando…
Monocular Depth Estimation with Self-Supervised Learning for Vineyard Unmanned Agricultural Vehicle
To find an economical solution to infer the depth of the surrounding environment of unmanned agricultural vehicles (UAV), a lightweight depth estimation model called MonoDA based on a convolutional neural network is proposed. A series of sequential frames from monocular videos are used to train the...
| Autores principales: | , , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8838921/ https://www.ncbi.nlm.nih.gov/pubmed/35161463 http://dx.doi.org/10.3390/s22030721 |