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...
I tiakina i:
| Ngā kaituhi matua: | , , , |
|---|---|
| Hōputu: | Artigo |
| Reo: | Inglês |
| I whakaputaina: |
IEEE
2026-01-01
|
| Rangatū: | IEEE Access |
| Ngā marau: | |
| Urunga tuihono: | https://ieeexplore.ieee.org/document/11406098/ |
| Ngā Tūtohu: |
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
|