Highway Visibility Level Prediction Using Geometric and Visual Features Driven Dual-Branch Fusion Network-Reference-Cited by-同舟云学术

Highway Visibility Level Prediction Using Geometric and Visual Features Driven Dual-Branch Fusion Network

Published:2024-08 Issue:8 Volume:25 Page:9992-10004
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Sun Yubao¹^ORCID,Tang Jihui¹,Liu Qingshan²^ORCID,Zhang Zhendong³,Huang Liang³

Affiliation:

1. Engineering Research Center of Digital Forensics, Ministry of Education, CICAEET, Nanjing University of Information Science and Technology, Nanjing, China

2. School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing, China

3. Jiangsu Meteorological Service Center, Jiangsu Provincial Meteorological Bureau, Nanjing, China

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Special Innovation and Development Program of China Meteorological Administration

Joint Research Project for Meteorological Capacity Improvement

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6979/10621861/10440153.pdf?arnumber=10440153

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4. Experimental Validation of Dedicated Methods to In-Vehicle Estimation of Atmospheric Visibility Distance

5. Real-Time Disparity Contrast Combination for Onboard Estimation of the Visibility Distance