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Tag Archive '3D Point Cloud'

This week, the 3DGeo participated in the ISPRS Geospatial Week 2019 with two presentations among the sessions of the Laser Scanning Workshop with many interesting talks and poster.
Presentations were given by Ashutosh Kumar in the Machine Learning Session and Katharina Anders in the Change Detection Session.
Highlight: The work by Ashutosh Kumar on feature relevance in [...]

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The Heidelberg LiDAR Operations Simulator (HELIOS) is an open source laser scanning simulation framework for interactive simulation and visualization of terrestrial, mobile and airborne laser scanning surveys. It can be flexibly used for teaching and training of laser scanning, development of new scanner hardware and scanning methods, or generation of artificial scan data [...]

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New Highlights at STAP19

Three invited speakers are now joining the compact course and workshop STAP19 on Spatial and Temporal Analysis of Geographic Phenomena organized by the 3DGeo and FCGL at IWR in Heidelberg.
Dr. Gottfried Mandlburger (Institute for Photogrammetry, University of Stuttgart) will give a talk on methods of feature and information extraction from geographic 3D point clouds. He [...]

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From 01-04 April 2019, the 3DGeo and FCGL research groups are organizing a compact course and workshop on Spatial and Temporal Analysis of Geographic Phenomena (STAP19) at the Interdisciplinary Center for Scientific Computing (IWR, Heidelberg University).

The course will teach participants state-of-the-art methods of 3D spatial data processing and analysis with a focus on spatial and [...]

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Did you ever consider planning and testing your LiDAR campaign in a computer simulation? Would you like a flexible means to generate 3D point cloud data for developing or testing methods? This is easily possible with the laser scanning simulation framework HELIOS (Heidelberg LiDAR Operations Simulator).
There have been major new developments since the first version [...]

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Digital outcrop models provide a powerful data basis to obtain orientation information on rock masses. Robust and transferrable automatic methods are required to process and analyze these data, as outcrops and hence acquired 3D point clouds are influenced by varying conditions depending e.g., on the site, atmospheric conditions and other factors. A crucial aspect in [...]

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We are happy to announce that a new JAVA-based tool is available that allows extracting raw GPS data from the OpenStreetMap GPS planet file. The tool is under LGPL license. It allows to specify a bounding box and to export the extracted data to 3D-Shapefiles. Besides the full GPS planet file there are also regional [...]

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GPS data uploaded to the OpenStreetMap servers is a popular example of what is called Volunteered Geographic Information (VGI). The data has been (and is still) collected by the project contributors primarily to support mapping. As the inclusion of roads and paths in the map is a major goal of the project, [...]

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The students of this year’s LiDAR course “HydroChange 2013″ present their research project on a multi-media website including a film documentary of their field work.
Enjoy Geography meeting 3D High-Tech!

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