Realtime Object-aware Monocular Depth Estimation in Onboard Systems-Reference-Cited by-同舟云学术

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Realtime Object-aware Monocular Depth Estimation in Onboard Systems

Published:2021-07-27 Issue:9 Volume:19 Page:3179-3189
ISSN:1598-6446
Container-title:International Journal of Control, Automation and Systems
language:en
Short-container-title:Int. J. Control Autom. Syst.

Author:

Lee Sangil,Lee Chungkeun,Kim Haram,Kim H. Jin^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Control and Systems Engineering

Link

https://link.springer.com/content/pdf/10.1007/s12555-020-0654-8.pdf

Reference22 articles.

1. J. Zhu and Y. Fang, “Learning object-specific distance from a monocular image,” Proceedings of the IEEE International Conference on Computer Vision, 2019.

2. A. J. Afifi and O. Hellwich, “Object depth estimation from a single image using fully convolutional neural network,” Proc. of International Conference on Digital Image Computing: Techniques and Applications, pp. 1–7, 2016.

3. C. Lee, H. Seo, and H. J. Kim, “Position-based monocular visual servoing of an unknown target using online self-supervised learning,” Proc. of IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 4467–4473, 2019.

4. H. Fu, M. Gong, C. Wang, K. Batmanghelich, and D. Tao, “Deep ordinal regression network for monocular depth estimation,” Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2018.

5. S. J. Lee, H. Choi, and S. S. Hwang, “Real-time depth estimation using recurrent cnn with sparse depth cues for slam system,” International Journal of Control, Automation and Systems, vol. 18, no. 1, pp. 206–216, 2020.

Cited by 1 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. Image Masking for Robust Self-Supervised Monocular Depth Estimation;2023 IEEE International Conference on Robotics and Automation (ICRA);2023-05-29

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