GANVO: Unsupervised Deep Monocular Visual Odometry and Depth Estimation with Generative Adversarial Networks-Reference-Cited by-同舟云学术

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GANVO: Unsupervised Deep Monocular Visual Odometry and Depth Estimation with Generative Adversarial Networks

Published:2019-05 Issue: Volume: Page:
ISSN:
Container-title:2019 International Conference on Robotics and Automation (ICRA)
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Author:

Almalioglu Yasin,Saputra Muhamad Risqi U.,Gusmao Pedro P. B. de,Markham Andrew,Trigoni Niki

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8780387/8793254/08793512.pdf?arnumber=8793512

Cited by 107 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. R-OAM: A reliable method for odometry accuracy measurement;Measurement;2024-09

2. Visual Simultaneous Localisation and Mapping Methodologies;Acta Mechanica et Automatica;2024-07-25

3. Occlusion-Aware Unsupervised Light Field Depth Estimation Based on Multi-Scale GANs;IEEE Transactions on Circuits and Systems for Video Technology;2024-07

4. RSTNet: Recurrent Spatial-Temporal Networks for Estimating Depth and Ego-Motion;IEEE Transactions on Emerging Topics in Computational Intelligence;2024-06

5. Self-supervised monocular visual odometry based on cross-correlation;Measurement Science and Technology;2024-05-13

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