Edge-Based Monocular Thermal-Inertial Odometry in Visually Degraded Environments-Reference-Cited by-同舟云学术

Edge-Based Monocular Thermal-Inertial Odometry in Visually Degraded Environments

Published:2023-04 Issue:4 Volume:8 Page:2078-2085
ISSN:2377-3766
Container-title:IEEE Robotics and Automation Letters
language:
Short-container-title:IEEE Robot. Autom. Lett.

Author:

Wang Yu¹,Chen Haoyao¹^ORCID,Liu Yufeng¹,Zhang Shiwu²^ORCID

Affiliation:

1. School of Mechanical Engineering and Automation, Harbin Institute of Technology, Shenzhen, China

2. Department of Precision Mechinery and Precision Instrumentation, University of Science and Technology of China, Anhui, China

Funder

National Natural Science Foundation of China

Shenzhen Science and Innovation Committee

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Computer Science Applications,Computer Vision and Pattern Recognition,Mechanical Engineering,Human-Computer Interaction,Biomedical Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/7083369/10049284/10048516.pdf?arnumber=10048516

Reference28 articles.

1. Graph-Based Thermal–Inertial SLAM With Probabilistic Neural Networks

2. DeepTIO: A Deep Thermal-Inertial Odometry With Visual Hallucination

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

4. Thermal-Inertial SLAM for the Environments With Challenging Illumination

5. TP-TIO: A Robust Thermal-Inertial Odometry with Deep ThermalPoint

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