Prof. Dr. Jürgen Döllner


Sören Discher

Tel.: +49-(0)331 5509-3905
Fax: +49-(0)331 5509-172
Room: H-2.14
Email: soeren.discher(at)hpi.de

Research Gate


Research Interests

  • Rendering and Interaction Techniques for Semantically Rich 3D Point Clouds
  • Scalable Rendering of Non-Static 3D Point Clouds
  • Real-Time Compression and Decompression for 3D Point Clouds
  • Geospatial Virtual Reality


Combined Visual Exploration of 2D Ground Radar and 3D Point Cloud Data for Road Environments

Wolf, Johannes; Discher, Sören; Masopust, Leon; Schulz, Sebastian; Richter, Rico; Döllner, Jürgen in Proceedings of 3D GeoInfo 2018 2018 .

Ground-penetrating 2D radar scans are captured in road environments for examination of pavement condition and below-ground variations such as lowerings and developing pot-holes. 3D point clouds captured above ground provide a precise digital representation of the road’s surface and the surrounding environment. If both data sources are captured for the same area, a combined visualization is a valuable tool for infrastructure maintenance tasks. This paper presents visualization techniques developed for the combined visual exploration of the data captured in road environments. Main challenges are the positioning of the ground radar data within the 3D environment and the reduction of occlusion for individual data sets. By projecting the measured ground radar data onto the precise trajectory of the scan, it can be displayed within the context of the 3D point cloud representation of the road environment. We show that customizable overlay, filtering, and cropping techniques enable insightful data exploration. A 3D renderer combines both data sources. To enable an inspection of areas of interest, ground radar data can be elevated above ground level for better visibility. An interactive lens approach enables to visualize data sources that are currently occluded by others. The visualization techniques prove to be a valuable tool for ground layer anomaly inspection and were evaluated in a real-world data set. The combination of 2D ground radar scans with 3D point cloud data improves data interpretation by giving context information (e. g., about manholes in the street) that can be directly accessed during evaluation.
Further Information


  • Interaction and Locomotion Techniques for the Exploration of Massvie 3D Point Clouds in VR Environments - held at the ISPRS TC IV Mid-term Symposium “3D Spatial Information Science – The Engine of Change”, Delft, The Netherlands (10/2018)
  • A Scalable WebGL-based Approach for Visualizing Massive 3D Point Clouds using Semantics-Dependent Rendering Techniques - held at the Web3D ’18, Poznan, Poland (06/2018)
  • A Point-Based and Image-Based Multi-Pass Rendering Technique for Visualizing Massive 3D Point Clouds in VR Environments - held at the WSCG 2018, Plzen, Czech Republic (05/2018)
  • Applications, Challenges and Solutions for 4D Point Clouds - held with Rico Richter at the International LiDAR Mapping Forum 2017, Denver, CO, USA (02/2017)
  • 3D Point Clouds for the Preservation and Documentation of Cultural Heritage - held at the HPI UCT Spring Workshop 2016, Cape Town, South Africa (04/2016)
  • Visualization and Interaction Techniques for Massive, Semantically Rich 3D Point Clouds - held at the Capturing Reality Forum, Salzburg, Austria (11/2015)
  • Interactive and View-Dependent See-Through Lenses for Massive 3D Point Clouds - held at the 3D GeoInfo 2015, Kuala Lumpur, Malaysia (10/2015)
  • Scalable Visualization of Massive 3D Point Clouds - held at the HPI UCT Spring Workshop 2015, Cape Town, South Africa (04/2015)
  • Echtzeit-Rendering-Techniken für 3D-Punktwolken basierend auf semantischen und topologischen Attributen - held at the 35. Wissenschaftlich-Technische Jahrestagung der DGPF, Cologne, Germany (03/2015)
  • Konzepte für eine Service-basierte Systemarchitektur zur Integration, Prozessierung und Analyse von massiven 3D-Punktwolken - held at the 34. Wissenschaftlich-Technische Jahrestagung der DGPF, Hamburg, Germany (03/2014)


Winter 2019/20

  • Course Advanced Point Cloud Analytics (tutor)
  • Bachelor project Deep Learning for 3D Infrastructure Data

Summer 2019

  • Course Selected Topics in Visual Computing (tutor)
  • Bachelor project Deep Learning for Geospatial Data

Winter 2018/19

  • Course Visualization Algorithms and Techniques (tutor)
  • Bachelor project Deep Learning for Geospatial Data

Summer 2018

  • Seminar Games of Life (tutor)
  • Seminar Advanced Games of Life (tutor)
  • Seminar Selected Topics in Spatial Analytics (tutor)
  • Bachelor project Web Platform for 3D Point Clouds

Winter 2017/18

  • Seminar Geovisualisierungstechniken (tutor)
  • Bachelor project Web Platform for 3D Point Clouds

Summer 2017

  • Seminar Advanced Information Visualization (tutor)
  • Bachelor project Geospatial Virtual Reality

Winter 2016/17

  • Seminar Processing and Visualization of 3D Geodata (tutor)
  • Bachelor project Geospatial Virtual Reality

Summer 2016

  • Seminar Methods and Techniques of Geospatial Visualization (tutor)
  • Bachelor project The Point Cloud

Winter 2015/16

  • Seminar Point Cloud Analytics (tutor)
  • Bachelor project The Point Cloud

Summer 2015

  • Lecture Einführung in die Programmiertechnik II (tutor)
  • Seminar Spatial Analytics (tutor)
  • Bachelor project 3D Point Clouds: Big Spatial Data

Winter 2014/15

  • Lecture Computer Graphics II (tutor)
  • Lecture Geoinformation Technologies (tutor)
  • Seminar Geovisualization (tutor)
  • Bachelor project 3D Point Clouds: Big Spatial Data

Summer 2014:

  • Lecture Computer Graphics I (tutor)
  • Seminar Information Visualization (tutor)
  • Bachelor project Analysis and Visualization of 3D Point Clouds

Winter 2013/14:

  • Seminar Game Programming (tutor)
  • Bachelor project Analysis and Visualization of 3D Point Clouds