Lightweight deep learning for real-time road distress detection on mobile devices

Journal:

Nature Communications

Published:

2025-05-06

DOI:

10.1038/s41467-025-59516-5

Affiliations:

5

Authors:

6

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Institutions	Authors	Share
RWTH Aachen University (RWTH Aachen), Germany	2.000000	0.33
Beijing University of Technology (BJUT), China	1.000000	0.17
Swansea University, United Kingdom (UK)	1.000000	0.17
Fujian Yongzheng Engineering Quality Inspection Co., Ltd., China	1.000000	0.17
Qingdao Yicheng Sichuang Link of Things Technology, China	1.000000	0.17

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