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Multi-Scale Flight Path Planning for UAS Building Inspection

  • Unmanned aircraft systems (UAS) show large potential for the construction industry. Their use in condition assessment has increased significantly, due to technological and computational progress. UAS play a crucial role in developing a digital maintenance strategy for infrastructure, saving cost and effort, while increasing safety and reliability. Part of that strategy are automated visual UASUnmanned aircraft systems (UAS) show large potential for the construction industry. Their use in condition assessment has increased significantly, due to technological and computational progress. UAS play a crucial role in developing a digital maintenance strategy for infrastructure, saving cost and effort, while increasing safety and reliability. Part of that strategy are automated visual UAS inspections of the building’s condition. The resulting images can automatically be analyzed to identify and localize damages to the structure that have to be monitored. Further interest in parts of a structure can arise from events like accidents or collisions. Areas of low interest exist, where low resolution monitoring is sufficient. From different requirements for resolution, different levels of detail can be derived. They require special image acquisition parameters that differ mainly in the distance between camera and structure. Areas with a higher level of detail require a smaller distance to the object, producing more images. This work proposes a multi-scale flight path planning procedure, enabling higher resolution requirements for areas of special interest, while reducing the number of required images to a minimum. Careful selection of the camera positions maintains the complete coverage of the structure, while achieving the required resolution in all areas. The result is an efficient UAS inspection, reducing effort for the maintenance of infrastructure.show moreshow less

This document is embargoed until:

2021/02/28

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Metadaten
Document Type:Conference Proceeding
Author:MSc Debus PaulORCiD, Volker RodehorstGND
URN (Cite-Link):https://nbn-resolving.org/urn:nbn:de:gbv:wim2-20201009-42053Cite-Link
URL:https://www.springer.com/gp/book/9783030512941
DOI (Cite-Link):https://doi.org/10.25643/bauhaus-universitaet.4205Cite-Link
Parent Title (English):Proceedings of the 18th International Conference on Computing in Civil and Building Engineering
Publisher:Springer
Editor: Toledo Santos
Language:English
Date of Publication (online):2020/07/27
Year of first Publication:2020
Embargo Date:2021/02/28
Release Date:2020/10/09
Publishing Institution:Bauhaus-Universität Weimar
Institutes and partner institutions:Fakultät Bauingenieurwesen / Professur Computer Vision in Engineering
Volume:2020
Page Number:19
Tag:Drohne
Flight path planning; Monitoring; UAS
GND Keyword:Drohne
Dewey Decimal Classification:000 Informatik, Informationswissenschaft, allgemeine Werke / 000 Informatik, Wissen, Systeme / 006 Spezielle Computerverfahren
600 Technik, Medizin, angewandte Wissenschaften / 620 Ingenieurwissenschaften / 624 Ingenieurbau
BKL-Classification:54 Informatik / 54.74 Maschinelles Sehen
Licence (German):License Logo Zweitveröffentlichung
Note:
This is the pre-peer reviewed version of the article , presented at the 18th International Conference on Computing in Civil and Building Engineering (ICCBE), Sao Paulo, Brazil, August 18-20, 2020.