MBUDepthNet: Real-Time Unsupervised Monocular Depth Estimation Method for Outdoor Scenes

Monocular depth estimation technology has emerged as a critical component across a variety of outdoor applications like robotics, augmented reality, autonomous driving, and 3D reconstruction. Mainstream monocular depth estimation methods consistently face challenges in applications requiring real-ti...

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Autori principali:	Zhekai Bian, Xia Wang, Qiwei Liu, Shuaijun Lv, Ranfeng Wei
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	IEEE 2024-01-01
Serie:	IEEE Access
Soggetti:	Computer vision deep learning depth estimation unsupervised learning
Accesso online:	https://ieeexplore.ieee.org/document/10517604/
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