Monocular Depth Estimation Through Virtual-World Supervision and Real-World SfM Self-Supervision-Reference-Cited by-同舟云学术

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Monocular Depth Estimation Through Virtual-World Supervision and Real-World SfM Self-Supervision

Published:2021 Issue: Volume: Page:1-14
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Gurram Akhil^ORCID,Tuna Ahmet Faruk,Shen Fengyi,Urfalioglu Onay,Lopez Antonio M.^ORCID

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/6979/4358928/09565825.pdf?arnumber=9565825

Cited by 20 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Overtaking Mechanisms Based on Augmented Intelligence for Autonomous Driving: Data Sets, Methods, and Challenges;IEEE Internet of Things Journal;2024-05-15

2. SRFNet: Monocular Depth Estimation with Fine-grained Structure via Spatial Reliability-oriented Fusion of Frames and Events;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

3. SGCalib: A Two-stage Camera-LiDAR Calibration Method Using Semantic Information and Geometric Features;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

4. Effective mmWave Radar Object Detection Pretraining Based on Masked Image Modeling;IEEE Sensors Journal;2024-02-01

5. MonoVINI: Seeing in the Dark with Virtual-World Supervision;2023 RIVF International Conference on Computing and Communication Technologies (RIVF);2023-12-23

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