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

M. Weinmann, M. S. Müller, M. Hillemann, N. Reydel, S. Hinz, B. Jutzi

Research output: Contribution to journalConference articlepeer-review

5 Scopus citations

Abstract

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.

Original languageEnglish
Pages (from-to)399-406
Number of pages8
JournalInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
Volume42
Issue number2W6
DOIs
StatePublished - 23 Aug 2017
Externally publishedYes
Event4th ISPRS International Conference on Unmanned Aerial Vehicles in Geomatics, UAV-g 2017 - Bonn, Germany
Duration: 4 Sep 20177 Sep 2017

Keywords

  • Feature extraction
  • Laser scanning
  • Multi-sensor
  • Point cloud
  • Scene interpretation
  • Unmanned aerial system

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