Unsupervised Cross-Spectrum Depth Estimation by Visible-Light and Thermal Cameras-Reference-Cited by-同舟云学术

Unsupervised Cross-Spectrum Depth Estimation by Visible-Light and Thermal Cameras

Published:2023-10 Issue:10 Volume:24 Page:10937-10947
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Guo Yubin¹^ORCID,Qi Xinlei¹,Xie Jin¹,Xu Cheng-Zhong²^ORCID,Kong Hui³^ORCID

Affiliation:

1. School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China

2. Department of Computer Science, State Key Laboratory of Internet of Things for Smart City (SKL-IOTSC), University of Macau, Macau, China

3. Department of Electromechanical Engineering (EME), State Key Laboratory of Internet of Things for Smart City (SKL-IOTSC), University of Macau, Macau, China

Funder

Science and Technology Development Fund of Macau Special Administrative Region (SAR), China

Startup Project of Macau University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/6979/10271405/10146199.pdf?arnumber=10146199

Reference50 articles.

1. Unsupervised Cross-Spectral Stereo Matching by Learning to Synthesize

2. Deep Material-Aware Cross-Spectral Stereo Matching

3. Deep Cross Spectral Stereo Matching Using Multi-Spectral Image Fusion

4. A depth estimation framework based on unsupervised learning and cross-modal translation

5. Multispectral Transfer Network: Unsupervised Depth Estimation for All-Day Vision

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