USP-SLAM: Deep Learning Based Visual SLAM with Robust Feature Extraction under Dynamic Environments-Reference-Cited by-同舟云学术

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USP-SLAM: Deep Learning Based Visual SLAM with Robust Feature Extraction under Dynamic Environments

Published:2023-12-04 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Robotics and Biomimetics (ROBIO)
language:
Short-container-title:

Author:

Li Ziqi¹,Gao Wei¹,Chen Haoyao²,Zhang Shiwu¹

Affiliation:

1. University of Science and Technology of China,School of Engineering Science,Department of Precision Machinery and Precision Instrumentation,Hefei,China,230026

2. Harbin Institute of Technology Shenzhen,College of Mechanical Engineering and Automation,Shenzhen,China,518055

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10354348/10354529/10354767.pdf?arnumber=10354767

Reference18 articles.

1. A Comprehensive Survey of Visual SLAM Algorithms

2. ORB-SLAM2: An Open-Source SLAM System for Monocular, Stereo, and RGB-D Cameras

3. Estimation of image scale variations in monocular visual odometry systems

4. Comparative Study of Deep Learning Based Features in SLAM

5. SuperPoint: Self-Supervised Interest Point Detection and Description

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