Universitätssiegel
Lukas Winiwarter

Im Neuenheimer Feld 368
Raum 104
69120 Heidelberg
lukas.winiwarter@uni-heidelberg.de
Telefon: +49 6221 54-5548
Fax: +49 6221 54-4529

 
External profiles
 
Office hours

by arrangement

 

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
  • M3C2-EP - Error propagation for 4D point cloud analyses
  • HELIOS++ – Heidelberg LiDAR Operations Simulator
  • qpals – QGIS Plugin for the OPALS software suite
Publications

Journals:

  • Winiwarter, L., Esmorís Pena, A., Weiser, H., Anders, K., Martínez Sanchez, J., Searle, M., Höfle, B. (2022): Virtual laser scanning with HELIOS++: A novel take on ray tracing-based simulation of topographic full-waveform 3D laser scanning. Remote Sensing of Environment, 269. DOI: 10.1016/j.rse.2021.112772.
  • Winiwarter, L., Anders, K., Schröder, D., & Höfle, B. (2022): Virtual Laser Scanning of Dynamic Scenes Created From Real 4D Topographic Point Cloud Data. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. V-2-2022, pp. 79-86. DOI: 10.5194/isprs-annals-V-2-2022-79-2022.
  • Zahs, V., Winiwarter, L., Anders, K., Williams, J.G., Rutzinger, M., Höfle, B. (2022): Correspondence-driven plane-based M3C2 for lower uncertainty in 3D topographic change quantification. ISPRS Journal of Photogrammetry and Remote Sensing, 183, pp. 541-559. DOI: 10.1016/j.isprsjprs.2021.11.018.
  • Weiser, H., Winiwarter, L., Anders, K., Fassnacht, F.E., Höfle, B. (2021): Opaque voxel-based tree models for virtual laser scanning in forestry applications. Remote Sensing of Environment, 265, pp. 95-113. DOI: 10.1016/j.rse.2021.112641.
  • Winiwarter, L., Anders, K., Höfle, B. (2021): M3C2-EP: Pushing the limits of 3D topographic point cloud change detection by error propagation. ISPRS Journal of Photogrammetry and Remote Sensing, 178, pp. 240–258. DOI: 10.1016/j.isprsjprs.2021.06.011.
  • Anders, K., Winiwarter, L., Mara, H., Lindenbergh, R., Vos, S. E., Höfle B. (2021): Fully automatic spatiotemporal segmentation of 3D LiDAR time series for the extraction of natural surface changes. ISPRS Journal of Photogrammetry and Remote Sensing, 173, pp. 297-308. DOI: 10.1016/j.isprsjprs.2021.01.015.
  • Williams, J.G., Anders, K., Winiwarter, L., Zahs, V., Höfle, B. (2021): Multi-directional change detection between point clouds. ISPRS Journal of Photogrammetry and Remote Sensing, 172, pp. 95-113. DOI: 10.1016/j.isprsjprs.2020.12.002.
  • Vallejo Orti, M., Winiwarter, L., Corral-Pazos-de-Provens, E., Williams, J. G., Bubenzer, O. & Höfle, B. (2021): Use of TanDEM-X and Sentinel products to derive gully activity maps in Kunene Region (Namibia) based on automatic iterative Random Forest approach. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. Vol. 14, pp. 607-623. https://doi.org/10.1109/JSTARS.2020.3040284.
  • 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:

Other publications and preprints:

  • Winiwarter, L., Anders, K., Schröder, D., and Höfle, B. (2022): Full 4D Change Analysis of Topographic Point Cloud Time Series using Kalman Filtering, Earth Surf. Dynam. Discuss. [preprint], DOI: 10.5194/esurf-2021-103, in review, 2022.
  • Winiwarter, L., Esmorís Pena, A., Weiser, H., Anders, K., Martínez Sanchez, J., Searle, M., Höfle, B. (2021): Virtual laser scanning with HELIOS++: A novel take on ray tracing-based simulation of topographic 3D laser scanning. arXiv:2101.09154. [cs.CV]
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
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Latest Revision: 2022-05-19
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