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Tunnel Mapping in Low-Light Environments:A Synergistic Scheme of Image Enhancement and Multi-Source Factor Graph Optimization

Qilong Wang Ning Wang Shuhan Luo Xiang Gao Yuqian Lu Min He

Computer Modeling in Engineering & Sciences2026，Vol.147Issue(5)：P.988-1012,25.

Computer Modeling in Engineering & Sciences2026，Vol.147Issue(5)：P.988-1012,25.DOI:10.32604/cmes.2026.080372

Tunnel Mapping in Low-Light Environments:A Synergistic Scheme of Image Enhancement and Multi-Source Factor Graph Optimization

Qilong Wang ¹Ning Wang ¹Shuhan Luo ¹Xiang Gao ²Yuqian Lu ³Min He⁴

作者信息

1. School of Mechanical Engineering,Xi’an University of Technology,Xi’an,China
2. School of Electrical Engineering,Xi’an University of Technology,Xi’an,China
3. Faculty of Engineering and Design,The University of Auckland,Auckland,New Zealand
4. School of Civil Engineering and Architectural,Xi’an University of Technology,Xi’an,China
折叠

摘要

关键词

SLAM/municipal tunnels/image enhancement/factor graph

分类

交通工程

引用本文复制引用

Qilong Wang,Ning Wang,Shuhan Luo,Xiang Gao,Yuqian Lu,Min He..Tunnel Mapping in Low-Light Environments:A Synergistic Scheme of Image Enhancement and Multi-Source Factor Graph Optimization[J].Computer Modeling in Engineering & Sciences,2026,147(5):P.988-1012,25.

基金项目

funded by the National Key R&D Program of China,grant number 2022YFB2602203 （）

the Natural Science Basic Research Program of Shaanxi,grant numbers 2025JC-YBMS-699 and 2024JC-YBQN-0495). （）

Computer Modeling in Engineering & Sciences

ISSN：1526-1492

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