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Point cloud analysis for UAV-borne laser scanning with horizontally and vertically oriented line scanners - Concept and first results

Weinmann, Martin 1; Müller, M. S. 1; Hillemann, Markus ORCID iD icon 1; Reydel, N. 1; Hinz, Stefan 1; Jutzi, Boris ORCID iD icon 1
1 Institut für Photogrammetrie und Fernerkundung (IPF), Karlsruher Institut für Technologie (KIT)


In this paper, we focus on UAV-borne laser scanning with the objective of densely sampling object surfaces in the local surrounding of the UAV. In this regard, using a line scanner which scans along the vertical direction and perpendicular to the flight direction results in a point cloud with low point density if the UAV moves fast. Using a line scanner which scans along the horizontal direction only delivers data corresponding to the altitude of the UAV and thus a low scene coverage. For these reasons, we present a concept and a system for UAV-borne laser scanning using multiple line scanners. Our system consists of a quadcopter equipped with horizontally and vertically oriented line scanners. We demonstrate the capabilities of our system by presenting first results obtained for a flight within an outdoor scene. Thereby, we use a downsampling of the original point cloud and different neighborhood types to extract fundamental geometric features which in turn can be used for scene interpretation with respect to linear, planar or volumetric structures.

Postprint §
DOI: 10.5445/IR/1000076055
Veröffentlicht am 07.03.2022
DOI: 10.5194/isprs-archives-XLII-2-W6-399-2017
Zitationen: 5
Zitationen: 5
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Photogrammetrie und Fernerkundung (IPF)
KIT-Zentrum Klima und Umwelt (ZKU)
Publikationstyp Proceedingsbeitrag
Publikationsjahr 2017
Sprache Englisch
Identifikator ISSN: 1682-1750
KITopen-ID: 1000076055
Erschienen in 4th ISPRS International Conference on Unmanned Aerial Vehicles in Geomatics, Bonn, Germany, 4th - 7th September 2017
Verlag International Society for Photogrammetry and Remote Sensing (ISPRS)
Seiten 399-406
Serie International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ; 42
Schlagwörter Unmanned Aerial System, Laser Scanning, Multi-Sensor, Point Cloud, Feature Extraction, Scene Interpretation
Nachgewiesen in Scopus
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