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

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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Bibliographic Details
Main Authors: Zhekai Bian, Xia Wang, Qiwei Liu, Shuaijun Lv, Ranfeng Wei
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Computer vision
deep learning
depth estimation
unsupervised learning
Online Access:https://ieeexplore.ieee.org/document/10517604/

Internet

https://ieeexplore.ieee.org/document/10517604/

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