Prof. Dr. Jürgen Döllner
Rico Richter


Tel.: +49-(0)331 5509-3910
Fax: +49-(0)331 5509-172
Room: H-2.27
E-Mail: rico.richter(at)hpi.de


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.
Combined Visual Explorati... - Download
Combined Visual Explorati... - Download
Combined Visual Explorati... - Download
Weitere Informationen
Tags cgs 


  • "Detection and Classification of Changes in Urban Areas Based on Semantic Analysis of Airborne Point Clouds", European LiDAR Mapping Forum 2014, Amsterdam, The Netherlands (12/2014) 
  • "Out-of-Core Visualization of Classified 3D Point Clouds", 3D GeoInfo 2014, Dubai, VAE (11/2014) 
  • "Effiziente Bestandsaktualisierung von 3D-Stadtmodellen durch Analyse multi temporaler 3D-Punktwolken", Workshop 3D-Stadtmodelle 2014, Bonn, Deutschland (11/2014) 
  • "Semantische Klassifizierung von 3D-Punktwolken für Stadtgebiete", Terrestrisches Laserscanning 2013, Fulda, Deutschland (12/2013) 
  • "Potentiale von massiven 3D-Punktwolkendatenströmen", Geoinformatik 2012, Braunschweig, Deutschland (03/2012) 
  • "Ein Ansatz für die Differenzanalyse zwischen 3D-Punktwolken und 3D-Referenzgeometrie", DGPF - Jahrestagung 2011, Mainz, Deutschland (04/2011)
  • "Software-Technologie für massive 3D-Punktwolken", Laserscanning –eine Methode zur Bereitstellung von Geodaten für vielfältigste Anwendungen am GFZ Potsdam, Deutschland (04/2011)
  • "Bestandsaktualisierung von 3D-Stadtmodellen durch Analyse von 3D-Punktwolken", auf der 3-Ländertagung 2010, Wien , Deutschland (07/2010)
  • "Out-of-Core Real-Time Visualization of Massive 3D Point Clouds", auf der 7th International Conference on Virtual Reality, Computer Graphics, Visualisation and Interaction in Africa, Franschoek, South Africa (06/2010)


Sommersemester 2017

  • Seminar Advanced Information Visualization
  • Bachelorprojekt "Geospatial Virtual Reality"

Wintersemester 2016/17

  • Seminar Processing and Visualization of 3D Geodata
  • Bachelorprojekt "Geospatial Virtual Reality"

Sommersemester 2016

  • Semianr Methods and Techniques of Geospatial Visualization
  • Bachelorprojekt "The Point Cloud"

Wintersemester 2015/16

  • Seminar Point Cloud Analytics 
  • Bachelorprojekt "The Point Cloud"

Sommersemester 2015

  • Seminar Spatial Analytics
  • Bachelorprojekt "3D-Punktwolken: Big Spatial Data"

Wintersemester 2014/2015

  •  Seminar Geovisualisierung
  •  Bachelorprojekt "3D-Punktwolken: Big Spatial Data"

Sommersemester 2014

  •  Seminar Information Visualization
  •  Bachelorprojekt "Analyse & Visualisierung von 3D-Punktwolken"

Wintersemester 2013/2014

  •  Seminar Geovisualisierung
  •  Bachelorprojekt "Analyse & Visualisierung von 3D-Punktwolken"

Sommersemester 2013

  •  Seminar Geovisualisierungsverfahren

Wintersemester 2012/2013

  •  Seminar Konzepte und Techniken der 3D-Visualisierung

Sommersemester 2012

  •  Seminar Geovisualisierungsverfahren

Wintersemester 2011/2012

  •  Seminar Echtzeit-Rendering-Techniken

Sommersemester 2011

  •  Seminar Geovisualisierung

Wintersemester 2010/2011

  • Tutor Vorlesung Informationsvisualisierung
  • Seminar Advanced Visualization Techniques

Sommersemester 2010

  • Bachelorprojekt "Werkzeug zur Analyse umfangreicher Laser-Scans"

Wintersemester 2009/2010

  • Tutor Vorlesung Geovisualisierung
  • Bachelorprojekt "Werkzeug zur Analyse umfangreicher Laser-Scans"

Sommersemester 2009

  • Übung zur Vorlesung 3D Computergrafik