Road Surface Defect Detection—From Image-Based to Non-Image-Based: A Survey-Reference-Cited by-同舟云学术

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Road Surface Defect Detection—From Image-Based to Non-Image-Based: A Survey

Published:2024-09 Issue:9 Volume:25 Page:10581-10603
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Yu Jongmin¹^ORCID,Jiang Jiaqi²^ORCID,Fichera Sebastiano³^ORCID,Paoletti Paolo³^ORCID,Layzell Lisa⁴,Mehta Devansh⁴,Luo Shan¹^ORCID

Affiliation:

1. Department of Engineering, King’s College London, London, U.K.

2. Department of Applied Mathematics and Theoretical Physics, University of Cambridge, Cambridge, U.K.

3. Department of Engineering, King’s College London, London, U.K

4. Robotiz3d Ltd., Daresbury, U.K.

Funder

United Kingdom Research and Innovation (UKRI) Innovate U.K. SMART Grant “ARRES PREVENT: The World-First Autonomous Road Repair Vehicle”

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6979/10659279/10497909.pdf?arnumber=10497909

Reference160 articles.

1. Developing a crack inspection robot for bridge maintenance

2. Automated Crack Detection on Concrete Bridges

3. Multi-objective optimization of pavement preservation strategy considering agency cost and environmental impact

4. Quantifying greenhouse gas emission of asphalt pavement preservation at construction and use stages using life-cycle assessment

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