Unsupervised Learning of Depth and Pose Based on Monocular Camera and Inertial Measurement Unit (IMU)-Reference-Cited by-同舟云学术

Unsupervised Learning of Depth and Pose Based on Monocular Camera and Inertial Measurement Unit (IMU)

Published:2023-05-29 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Robotics and Automation (ICRA)
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Author:

Wang Yanbo¹,Yang Hanwen²,Cai Jianwei³,Wang Guangming⁴,Wang Jingchuan⁴,Huang Yi⁵

Affiliation:

1. University of Michigan-Shanghai Jiao Tong University Joint Institute, Shanghai Jiao Tong University,Shanghai,China,200240

2. School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University,Shanghai,China,200240

3. Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University,Shanghai,China,200240

4. Shanghai Jiao Tong University,Department of Automation,Shanghai,China,200240

5. Shanghai Weitong Vision Technology Co., Ltd.

Funder

Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10160211/10160212/10160277.pdf?arnumber=10160277

Reference35 articles.

1. VINet: Visual-Inertial Odometry as a Sequence-to-Sequence Learning Problem

2. Unsupervised Learning of Depth and Ego-Motion from Video

3. What matters for 3d scene flow network;wang;Computer Vision-ECCV 2022 17th European Conference Tel Aviv Israel October 23–27 2022 Proceedings Part XXXIII,0

4. IONet: Learning to Cure the Curse of Drift in Inertial Odometry

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