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Automated damage detection for port structures using machine learning algorithms in heightfields

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Automated damage detection for port structures using machine learning algorithms in heightfields

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Hake, F.; Lippmann, P.; Alkhatib, H.; Oettel, V.; Neumann, I. (2023). Automated damage detection for port structures using machine learning algorithms in heightfields. En 5th Joint International Symposium on Deformation Monitoring (JISDM 2022). Editorial Universitat Politècnica de València. http://hdl.handle.net/10251/192272

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Title: Automated damage detection for port structures using machine learning algorithms in heightfields
Author: Hake, Frederic Lippmann, Paula Alkhatib, Hamza Oettel, Vincent Neumann, Ingo
Issued date:
Abstract:
[EN] The ageing infrastructure in ports requires regular inspection. This inspection is currently carried out manually by divers who sense by hand the entire underwater infrastructure. This process is cost-intensive as it ...[+]
Subjects: Damage detection , Machine-learning , Laserscanning , Multibeam-echosounder , Infrastructure
Copyrigths: Reconocimiento - No comercial - Compartir igual (by-nc-sa)
ISBN: 9788490489796
Source:
5th Joint International Symposium on Deformation Monitoring (JISDM 2022).
Publisher:
Editorial Universitat Politècnica de València
Publisher version: http://ocs.editorial.upv.es/index.php/JISDM/JISDM2022/paper/view/13640
Conference name: 5th Joint International Symposium on Deformation Monitoring
Conference place: València, España
Conference date: Junio 20-22, 2022
Project ID:
info:eu-repo/grantAgreement/BMDV//19H18011C
Thanks:
Open Access funding enabled and organized by Projekt DEAL. This research was funded by German Federal Ministry of Transport and Digital Infrastructure grant number 19H18011C.
Type: Capítulo de libro Comunicación en congreso

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