Positional Tracking Study of Greenhouse Mobile Robot Based on Improved Monodepth2
This paper presents a self-supervised monocular position tracking model tailored for greenhouse environments. These environments pose unique challenges: mutual crop shading and homogeneous color textures complicate feature extraction, resulting in blurred depth map boundaries and low-precision posit...
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| Autori principali: | , |
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| Natura: | Articolo |
| Lingua: | inglese |
| Pubblicazione: |
IEEE
2025-01-01
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| Serie: | IEEE Access |
| Soggetti: | |
| Accesso online: | https://ieeexplore.ieee.org/document/11029014/ |
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