Pose Estimation Algorithm Derived From 3D Optical Flow-Reference-Cited by-同舟云学术

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Pose Estimation Algorithm Derived From 3D Optical Flow

Published:2022-08-07 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Mechatronics and Automation (ICMA)
language:
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Author:

Li Xuesheng¹,Niu Junkai¹,Zhang Xinhao¹,Li Chen²

Affiliation:

1. University of Electronic Science and Technology of China, Aircraft Swarm Intelligent Sensing and Cooperative Control, Key Laboratory of Sichuan Province,School of Aeronautics and Astronautics,Chengdu,China,611731

2. Tianfu Software Park,Delu Dynamics Technology Co. Ltd.,Chengdu,Sichuan,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9855896/9855897/09856218.pdf?arnumber=9856218

Reference7 articles.

1. Semi-direct tracking and mapping with RGB-D camera for MAV

2. A Robust RGB-D SLAM with Loosely-Coupled Semi-Direct Method

3. Learning Optical Flow, Depth, and Scene Flow Without Real-World Labels

4. Rigid body motion from depth and optical flow

5. Just go with the flow

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