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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.zeige mehrzeige weniger

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Metadaten
Dokumentart:Konferenzveröffentlichung
Verfasserangaben:MSc Debus PaulORCiD, Volker RodehorstORCiDGND
DOI (Zitierlink):https://doi.org/10.25643/bauhaus-universitaet.4205Zitierlink
URN (Zitierlink):https://nbn-resolving.org/urn:nbn:de:gbv:wim2-20201009-42053Zitierlink
URL:https://www.springer.com/gp/book/9783030512941
Titel des übergeordneten Werkes (Englisch):Proceedings of the 18th International Conference on Computing in Civil and Building Engineering
Verlag:Springer
Herausgeber: Toledo Santos
Sprache:Englisch
Datum der Veröffentlichung (online):27.07.2020
Jahr der Erstveröffentlichung:2020
Embargo-Datum:28.02.2021
Datum der Freischaltung:09.10.2020
Veröffentlichende Institution:Bauhaus-Universität Weimar
Institute und Partnereinrichtugen:Fakultät Bauingenieurwesen / Professur Computer Vision in Engineering
Jahrgang:2020
Seitenzahl:19
Freies Schlagwort / Tag:Drohne
Flight path planning; Monitoring; UAS
GND-Schlagwort:Drohne
DDC-Klassifikation:000 Informatik, Informationswissenschaft, allgemeine Werke / 000 Informatik, Wissen, Systeme / 006 Spezielle Computerverfahren
600 Technik, Medizin, angewandte Wissenschaften / 620 Ingenieurwissenschaften / 624 Ingenieurbau
BKL-Klassifikation:54 Informatik / 54.74 Maschinelles Sehen
Lizenz (Deutsch):License Logo Zweitveröffentlichung
Bemerkung:
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.