CR-FusionNet: Hybrid Stereo-Monocular Fusion for Depth Perception in Autonomous and Robotic Systems
Stereo matching yields metrically grounded disparity but often fails in textureless, repetitive, reflective, or occluded regions, while monocular depth estimation provides dense structure yet suffers from scale ambiguity and weaker local geometric fidelity. We present CR-FusionNet, a lightweight ste...
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| Autors principals: | , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
IEEE
2026-01-01
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| Col·lecció: | IEEE Access |
| Matèries: | |
| Accés en línia: | https://ieeexplore.ieee.org/document/11406098/ |
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