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Sustainable Automated 3D Scanning: Energy-Efficient Drone Photogrammetry for Large Scale Archaeological Sites

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2024

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Gesellschaft für Informatik e.V.

Zusammenfassung

This work proposes a sustainable automated 3D scanning algorithm using drone photogrammetry for large scale archaeological sites. The proposed algorithm is energy-aware and sustainable since it uses an efficient path planning approach. It combines boustrophedon and spiral drone path planning algorithms. Moreover, concepts inspired by complex networks are also involved to model the environment as a network model with nodes and edges. The generated model is utilized in the proposed path planning algorithm. The findings show that the proposed algorithm is highly feasible and can efficiently scan large scale areas with minimum energy and time without human intervention.

Beschreibung

Kamil, Ahmed; Mahmood, Basim (2024): Sustainable Automated 3D Scanning: Energy-Efficient Drone Photogrammetry for Large Scale Archaeological Sites. INFORMATIK 2024. DOI: 10.18420/inf2024_82. Bonn: Gesellschaft für Informatik e.V.. PISSN: 1617-5468. ISBN: 978-3-88579-746-3. pp. 927-932. Digitalization of Cultural Heritage / DOCH. Wiesbaden. 24.-26. September 2024

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