Event | program

Thursday, February 6, 2025

 

11:00 Arrival and registration, coffee and welcome

 

11:30 – 12:50 An update from NMCAs

• Florian Gandor, Swisstopo: swissSURFACE3D - Achievements and multigenerational perspectives
• Léa Vauchier, IGN France: LiDARExpress: an hybrid (AI and heuristics) processing chain for automatic LiDAR data classification and digital models generation
• Jesús María Garrido Sáenz de Tejada et. al., Instituto Geográfico Nacional, Madrid: Feasibility Analysis of the implementation of nationwide point cloud classification with AI
• Bruno Vallet / Amine Boussik, IGN France: Non rigid registration of building footprints on aerial LiDAR
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12:50 - 13:30   Break with finger-food + posters

 

13:30 - 15:10   Sensors and platforms insights

• Gottfried Mandlburger, TU Vienna: Consumer-grade Unmanned Laser Scanning - orientation, resolution and accuracy
• Andreas Ullrich, RIEGL: RIEGL Waveform LiDAR – accessing and working with attribute-rich point clouds and intermediate data products
• George Vosselman, University of Twente: The pulse matching problem - the limits of laser scanning productivity
• Bernhard Schachinger, Vexcel: Unlocking new capabilities in airborne point clouds with the hybrid UltraCam Dragon 4.1
• Melanie Elias, TU Dresden: Planet4Stereo: An open-source pipeline for processing digital elevation models from multi-temporal Planetscope satellite images
   

15:10-15:30   Coffee break + poster

 

15:30 - 17:30   Applications (I): Short presentations (3-4 min each) followed by poster

• Vincent Reß, University of Stuttgart: Gaussian Splatting SLAM for fast monocular and multi-view scene reconstruction
• Yang Zheng^1,2, Taskin Özkan¹,Hao Deng², Norbert Pfeifer¹,¹TU Vienna, ² Central South University: Efficient semantic segmentation of indoor point clouds using a two-stage few-shot learning approach
• Bruno Vallet / Wu Yeng , IGN France: Reverse engineering LiDAR point clouds
• Nejc Dougan, Flai: Challenges in creating real-world ready AI-based point cloud classifier
• Daan H. van der Heide, Daan C. Hulskemper, Daisy Sparla, Jantien Stoter, Rijkswaterstaat, TU Delft: Perspectives on the planimetric definition of point cloud density
• Antje Alex, DLR: Pipe reconstruction from point clouds for automated model generation
• Sungha Ju and Joon Heo, Yonsei University Korea: Distributed computing approach of scan vs bim analysis for construction quality monitoring
• Felix Matzke, TU Dresden: Data augmentation to enhance semantic segmentation of 3D point clouds
• Michael Weinmann, TU Delft: The potential of AI for 3D scene digitization - recent learning-based innovations on handling challenging scenarios
• Rico Richter, Point Cloud Technology GmbH: Twin4Road: Creating a digital twin of the road infrastructure using mobile mapping data
• Sarah Hoppe, Fraunhofer IGD, Two-step clustering based counting of wheat spikes in laser light sectioning point clouds
• Kevin Kocon, IGD, Challenges for the automatic 3D point cloud processing on the single wheat ear level
   

19:00   Social dinner

 

Friday, February 7, 2025

8:30 – 10:10   Data processing insights

• Florent Poux, University of Liège: Building AI Systems for 3D Point Clouds
• Dorota Iwaszczuk, TU Darmstadt: Leveraging domain knowledge to refine deep-learning-based semantic segmentation of outdoor point clouds
• Uwe Bacher, Hexagon Innovation: Hub Digital Twin Germany - classification and streaming of very large and dense point clouds
• Maarten Bassier, KU Leuven: 3D reconstruction and machine learning for UAV-assisted bridge inspections
• Mathias Rothermel, nFrames/ESRI: The potential of Gaussian Splatting for photogrammetric point clouds
   

10:10 - 10:40    Coffee break

 

10:40 – 12:20 Information Extraction from 3D Point Clouds

• Narges Takhtkeshha, FBK / TU Vienna / FGI: Multispectral UAV LiDAR point clouds for environmental monitoring
• Juha Hyppää, FGI: International benchmarking on tree species classification using multispectral ALS
• Arttu Soininen, Terrasolid: Data fusion in forestry from multiple scanning platforms
• Katja Richter, TU Dresden: Monitoring of deciduous tree growth using hyper-temporal terrestrial laser scanner point clouds
• Eetu Puttonen, FGI: Seeing trees from a forest: A five-year retrospect to the Finnish Geospatial Research Institute permanent LiDAR Phenology station “LiPhe”
   

12:20   Closing

 

Presentations are in-person only, no video transmission will be provided!