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Deep learning-based intelligent detection of pavement distress

Automation in Construction
Wangjie Wu, Dongdong Yuan
exaly   +2 more sources

Pavement distress detection and classification based on YOLO network

International Journal of Pavement Engineering, 2021
Yu Shen, Yuchuan Du
exaly  

Practical pavement distress detection via photogrammetry.

Overall, the proposed approach in this thesis offers a cost-effective, accessible, and accurate system for pavement distress detection, with the integration of fast perspective transformation and spatial data analysis playing a pivotal role in improving the assessment and management of road infrastructure.
openaire   +2 more sources

Application of image technology on pavement distress detection: A review

Measurement: Journal of the International Measurement Confederation, 2021
Feipeng Xiao   +2 more
exaly  

Deploying drones for autonomous detection of pavement distress

2016
Road repair expenditure comprises a significant portion of US federal and municipal budgets. Inspection and timely maintenance are crucial preventative measures against pavement distress formation that can lower the monetary burden of repairs. Yet state of the art road inspection techniques still employ technicians to perform distress measurements ...
openaire   +1 more source

Multi-scale feature fusion network for pixel-level pavement distress detection

Automation in Construction, 2022
Junqing Zhu, Jingtao Zhong
exaly  

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