Development of a solution for collecting crack images on concrete surfaces to assess the structural health of bridges using drone
Author:
Affiliation:
1. Faculty of Electrical and Electronics Engineering, University of Transport and Communications, Hanoi, Vietnam
2. Department of Aerospace Engineering, University of Bristol, Bristol, UK
Funder
Science and Technology – PROGRAM 01C-02
Publisher
Informa UK Limited
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Computer Science Applications,Computer Science (miscellaneous)
Link
https://www.tandfonline.com/doi/pdf/10.1080/24751839.2023.2185448
Reference20 articles.
1. Motion Planning
2. Deep Learning-Based Crack Damage Detection Using Convolutional Neural Networks
3. Survey of Motion Planning Literature in the Presence of Uncertainty: Considerations for UAV Guidance
4. Deep Active Learning for Civil Infrastructure Defect Detection and Classification
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1. Deep-Learning- and Unmanned Aerial Vehicle-Based Structural Crack Detection in Concrete;Buildings;2023-12-15
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