MBUDepthNet: Real-Time Unsupervised Monocular Depth Estimation Method for Outdoor Scenes-Reference-Cited by-同舟云学术

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

Published:2024 Issue: Volume:12 Page:63598-63609
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Bian Zhekai¹^ORCID,Wang Xia¹^ORCID,Liu Qiwei¹^ORCID,Lv Shuaijun¹^ORCID,Wei Ranfeng²

Affiliation:

1. School of Optics and Photonics, Beijing Institute of Technology, Beijing, China

2. Key Laboratory of Photoelectronic Imaging Technology and System of Ministry of Education of China, School of Optics and Photonics, Beijing Institute of Technology, Beijing, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10517604.pdf?arnumber=10517604

Reference55 articles.

1. Monocular Depth Estimation using Synthetic Data for an Augmented Reality Training System in Laparoscopic Surgery

2. Towards Scene Understanding: Unsupervised Monocular Depth Estimation With Semantic-Aware Representation

3. Towards Real-Time Monocular Depth Estimation for Robotics: A Survey

4. Are we ready for autonomous driving? The KITTI vision benchmark suite

5. Unsupervised Learning of Monocular Depth Estimation and Visual Odometry with Deep Feature Reconstruction

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