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Jump to: Proceedings paper | Thesis
Number of items: 3.
Proceedings paper
Panella, F;
Boehm, J;
Loo, Y;
Kaushik, A;
Gonzalez, D;
(2018)
Deep learning and image processing for automated crack detection and defect measurement in underground structures.
In:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences.
(pp. pp. 829-835).
ISPRS SC: Riva del Garda, Italy.
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Panella, F;
Loo, Y;
Devriendt, M;
Gonzalez, D;
Kaushik, A;
Ollerhead, R;
Boehm, J;
(2018)
Smart Image Based Technology and Deep Learning for Tunnel Inspection and Asset Management.
In:
Proceedings of the 16th World Conference Of the Associated Research Centers for the Urban Underground Space.
(pp. pp. 894-904).
ACCUS
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Thesis
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Panella, Fabio;
(2023)
Automating Inspection of Tunnels With Photogrammetry and Deep Learning.
Doctoral thesis (Ph.D), UCL (University College London).
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