Tag: 3D point clouds

  • ­čŽç Halloween release of HELIOS++, v1.3.0

    ­čŽç Halloween release of HELIOS++, v1.3.0

    We proudly present our Halloween release of HELIOS++, Version 1.3.0: https://github.com/3dgeo-heidelberg/helios/releases What’s new in this release? HELIOS++ now supports LiDAR simulation of dynamic scenes. We can now simulate laser scanning of scenes that change during the simulation. This is done by introducing rigid motions, which are defined with XML syntax in the scene XML file.…

  • Open Data: Multi-platform point clouds and orthophotos of the inland dune in Sandhausen

    The commune Sandhausen (Baden-W├╝rttemberg) got its name from the inland dune, which is located in the area of the village. In 2021 and 2022, the 3DGeo group of Heidelberg University conducted UAV-based and ground-based surveys of three areas of the┬áinland dune of Sandhausen to acquire 3D point clouds and orthophotos. The dataset is freely and…

  • LOKI – Video on UAV-based damage assessment combining automated methods with Micro-Mapping

    Interested in how earthquake-induced damage to critical infrastructures is assessed in the research project LOKI? Then check out this teaser below! Link to video In the LOKI project (Luftgest├╝tzte Observation Kritischer Infrastrukturen; Airborne Assessment of Critical Infrastructures), an interdisciplinary system that enables fast and reliable airborne situation assessments following an earthquake is being developed by…

  • Open access publication of terrestrial laser scanning and terrestrial and UAV images of Alpine Regions in Austria

    Very interesting terrestrial laser scanning and terrestrial and UAV image datasets of different Alpine sites in Austria have just been openly provided on PANGAEA. The data are related to the first (2015) and second (2017) edition of the Innsbruck Summer School of Alpine Research – Close Range Sensing Techniques in Alpine Terrain and can, for…

  • Auto3Dscapes for 4D Beach Observation

    How does a sandy beach naturally restore after a storm event? Invaluable information on this process is provided by a highly temporal (hourly) time series of 3D point cloud data acquired over several months at the beach of Kijkduin (NL). The permanent LiDAR system is operated by a team of TU Delft researchers in the…

  • Live from the ├ľtztal Alps (#2): Exploring high mountain 3D geoinformation

    Today was the second day of field work in the Rotmoos valley in the ├ľtztal Alps for our 16 students. The hot sun challenged the data acquisition but the impressive landscape makes up for every effort. The terrestrial laser scanning group climbed up the valley flanks to acquire a high resolution point cloud from an…

  • Live from the ├ľtztal Alps (#1): Exploring high mountain 3D geoinformation

    As part of the practical field training “3D Geodatenerfassung im Hochgebirge (├ľtztal)”, 29 July – 04 August, 16 students explore pyhsical geography in an impressive high-mountain environment in the ├ľtztal valley, Austria. With the help of terrestrial LiDAR, RTK GNSS, close range photogrammetry and electrical resistivity tomography (ERT), multi-source datasets will be captured for the…

  • Continued capturing of an active rock glacier in 3D

    For the fourth consecutive year, the 3DGeo team acquired the rock glacier ├äu├čeres Hochebenkar in the Austrian ├ľtztal by terrestrial laser scanning. This adds another point cloud to the multitemporal dataset to observe how the active rock glacier changes over the years. In an elevation over 2600 m a.s.l., the complex terrain on and around…

  • Talk on methods and applications for large geospatial point clouds

    On Wednesday, Roderik Lindenbergh from TU Delft (NL) gave an exciting talk on robust geometry extraction in large spatial point clouds in the frame of the IWR colloquium at the Interdisciplinary Center for Scientific Computing. With focus on robust and novel methods of geoinformation extraction from these special datasets, the audience was taken on a…

  • IWR Colloquium on Robust Geometry Extraction in Large Spatial Point Clouds (Prof. Roderik Lindenbergh)

    Everyone interested is cordially invited to the talk of Prof. Roderik Lindenbergh (TU Delft, NL) on Robust geometry extraction in large spatial point clouds in the frame of the IWR Colloquium at the Interdisciplinary Center for Scientific Computing. When: Wednesday, 27th June 2018, 14:15 Where: Conference Room (5th Floor), Mathematikon, INF 205 Before the talk,…

  • Colloquium on Classification of 3D Point Clouds using Deep Neural Networks

    We cordially invite everybody interested to our next open┬áGIScience colloquium talk The speaker is┬áLukas Winiwarter TU Wien, Department of Geodesy and Geoinformation, Research Group Photogrammetry When: Monday 18.06.2018, 2:15 pm Where: INF 348, room 015 (Institute of Geography, Heidelberg University) Classification of 3D Point Clouds using Deep Neural Networks Per-point classification (semantic labeling) is an…