Lukas Winiwarter

Lukas Winiwarter is a PhD student and research assistant at the 3D Geospatial Data Processing Research Group at the Institute of Geography at Heidelberg University.

Research Interests

• Terrain modelling from 3D Point Clouds
• High-density (UAV-) Point Cloud Processing
• Machine learning approaches to Point Cloud Analysis
• Laser scanning time series for deformation monitoring
• Error modelling and propagation in LiDAR data

Projects

• Geodynamo4D - Methods for the analysis of laser scan time series
• HELIOS – Heidelberg LiDAR Operations Simulator
• qpals – QGIS Plugin for the OPALS software suite

Publications

Journals:

• Anders, K., Winiwarter, L., Lindenbergh, R., Williams, J.G., Vos, S.E., & Höfle, B. (2020): 4D objects-by-change: Spatiotemporal segmentation of geomorphic surface change from LiDAR time series. ISPRS Journal of Photogrammetry and Remote Sensing, 159, pp. 352-363. DOI: 10.1016/j.isprsjprs.2019.11.025
• Winiwarter, L., Mandlburger, G., Schmohl, S. & Pfeifer, N. (2019): Classification of ALS Point Clouds Using End-to-End Deep Learning. PFG, 2019/03, DOI: 10.1007/s41064-019-00073-0

Conferences:

• Anders, K., Winiwarter, L., Mara, H., Lindenbergh, R.C., Vos, S., & Höfle, B. (2020): Einfluss der zeitlichen Auflösung auf die raumzeitliche Segmentierung geomorphologischer Änderungsprozesse in 3D-Punktwolken. Tagungsband der 40. Wissenschaftlich-Technischen Jahrestagung der DGPF, 29, 312-316.
• Winiwarter, L., Anders, K., & Höfle, B. (2020): Herausforderungen in der Fehlerfortpflanzung von Laserscandaten für multitemporale Analysen zur verbesserten Quantifizierung des Level of Detection. Tagungsband der 40. Wissenschaftlich-Technischen Jahrestagung der DGPF, 29, 373-380.
• Kumar, A., Anders, K., Winiwarter, L., & Höfle, B. (2019): Feature Relevance Analysis For 3D Point Cloud Classification Using Deep Learning, ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, IV-2/W5, 373-380, DOI: 10.5194/isprs-annals-IV-2-W5-373-2019.

Curriculum Vitae

• since 10/2018: PhD Student at the 3DGeo Research Group, Heidelberg University
• 11/2019: Nominated for the TÜV Austria Wissenschaftspreis 2019
• 02/2019 and 07/2019: Awarded first prize of the Karl Kraus Nachwuchsförderpreis 2019 and third place of the AGEO Award 2019 on his Diploma thesis Classification of 3D Point Clouds using Deep Neural Networks
• 09/2018: Dipl.-Ing. in Geodesy and Geoinformation (equivalent to MSc.), TU Wien, Austria. Diploma thesis: Classification of 3D Point Clouds using Deep Neural Networks
• 10/2016-09/2018: Studienassistent at the Photogrammetry Research Group, Department of Geodesy and Geoinformation, TU Wien, Austria
• 03/2016-10/2016: Project assistant in the OPALS team at the Photogrammetry Research Group, Department of Geodesy and Geoinformation, TU Wien, Austria
• 10/2015: Bachelor of Science, Geodesy and Geoinformation, TU Wien, Austria
• 10/2014-06/2016: Teaching Assistant, Introduction to Programming and Geometry, TU Wien, Austria
• 05/2013-06/2016: Software developer for a Geo-Monitoring System, Bogensberger Vermessung, Austria