Tag: virtual laser scanning
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Introducing the VirtuaLearn3D Project
With VirtuaLearn3D (Virtual Laser Scanning for Machine Learning Algorithms in Geographic 3D Point Cloud Analysis), a new project of the 3DGeo group has started. The focus of this project is to enable powerful machine learning algorithms for geographic point cloud analysis by advancing the concept of virtual laser scanning to overcome the lack of training […]
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Improved Performance of HELIOS++ using High Performance Computing Techniques
The software HELIOS++ simulates the laser scanning of a given virtual scene that can be composed of different spatial primitives and 3D meshes with distinct granularity. The high computational cost of this type of simulation software demands efficient computational solutions. Classical solutions based on GPU are not well suited when irregular geometries compose the scene […]
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Einführung in die Laserscanning-Simulationssoftware HELIOS++ bei der FOSSGIS Konferenz 2022
Vom 9. bis zum 12. März 2022 findet die jährliche FOSSGIS Konferenz statt, die führende Konferenz für Freie und Open Source Software für Geoinformationssysteme und Open Data im deutschsprachigen Raum. Im Themenbereich 3D und LiDAR wird die 3DGeo Gruppe mit Beiträgen zur Open Source Software HELIOS++ vertreten sein, die der Simulation von Laserscanning dient. Am Freitag, […]
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Methods and algorithms for 3D/4D change analysis and virtual laser scanning
Curious, which methods on 3D/4D point cloud-based change analysis and virtual laser scanning we are working on, that might also be interesting for your research? Thanks to a redesign of our 3DGeo website you can now quickly get an overview of algorithms and methods, that are acitvely developed in our research and featured in recent […]
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Open Data + Open Software – A perfect match
On 1st March 2021, the Swiss Federal Office of Topography (SwissTopo) released all official geodata according to the principles of “Open Government Data (OGD)”. With this step, Swisstopo is making large volumes of high quality geodata freely accessible. We are most excited about the 3D data, which includes digital surface models, digital terrain models and […]
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HELIOS++ 1.0.0 Software & Preprint Release
The 3DGeo Research Group is proud to announce the release of their novel ray-tracing based laser scanning simulator HELIOS++! HELIOS++ is a general-purpose simulation software for virtual laser scanning data acquisition. Such data can be used to complement real data in many use cases. Some examples include the generation of training data for machine learning, […]
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SYSSIFOSS project video on the potential of synthetic LiDAR data in forestry applications
Do you want to find out about the potential of simulating LiDAR data over synthetic forest stands and the steps to get there? Get to know the SYSSIFOSS research project in the video below! Link to video In SYSSIFOSS we are using 3D LiDAR forest data to create a database of diverse model trees (different […]
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Treeathlon – 3D tree mapathon
On Tuesday, 25.02.2020, the 3DGeo group and the SYSSIFOSS project partner from KIT organised a collaborative data processing event. 24 participants spent 6 hours (10:00-16:00) extracting individual trees from airborne LiDAR forest point clouds. In the SYSSIFOSS project, the segmented 3D tree models are required to simulate 3D forest stands when combined with a forest […]
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Using OSM data to generate scenes for LiDAR simulations in HELIOS
A new tutorial for the 3DGeo‘s LiDAR simulation software HELIOS has been posted to the repository’s wiki page. It shows a simple way to generate scenes of real landscapes including building and vegetation models as well as terrain from NASA JPL’s SRTM data. When applied to OSM data in the city of Vienna, the obtained […]
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SYSSIFOSS – Synthetic structural remote sensing data for improved forest inventory models
Airborne light detection and ranging (LiDAR) data provides reliable information on forest structure. Related forest inventory approaches recently evolved into operational tools. Today, further optimization of existing approaches is pursued to ensure high data quality of the inventory information and cost-efficiency over varied environmental and silvicultural conditions. Synthetic LiDAR data has been suggested as useful […]