Conference Agenda
Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
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Session Overview | |
Location: Lecture Hall HS2 |
Date: Wednesday, 13/Sept/2023 | |
10:00am - 11:45am |
D1-S1-HS2: 3D Point cloud processing and analysis Location: Lecture Hall HS2 Chair: Dr. Lucía Díaz Vilariño Efficient In-Memory Point Cloud Query Processing 1: Technical University of Munich, Germany; 2: Heidelberg University, Germany Transferring façade labels between point clouds with semantic octrees while considering change detection 1: Technical University Munich, Germany; 2: University of Applied Sciences Munich, Germany Investigating Data Fusion from Three Different Point Clouds Datasets by using Iterative Closest Point (ICP) Registration 3D GIS Research Lab, Department of Geoinformation, Faculty of Built Environment and Surveying, Universiti Teknologi Malaysia, Malaysia Sensing heathland vegetation structure from Unmanned Aircraft System Laser Scanner: Comparing sensors and flying heights 1: School of Built Environment, University of New South Wales, Sydney, NSW 2052, Australia; 2: Department of Geodesy and Geoinformatics (E120), Technische Universität Wien, Wiedner Hauptstraße 8-10, 1120 Wien, Austria; 3: Integrated Remote Sensing Studio (IRSS), University of British Columbia, 2424 Main Mall, V6T 1Z4 Vancouver, B.C., Canada Comparison of point distance calculation methods in point clouds ¿Is the most complex always the most suitable? TU Delft, Netherlands |
1:00pm - 2:45pm |
D1-S2-HS2: Indoor / Outdoor Modelling and Navigation Location: Lecture Hall HS2 Chair: Prof. Jörg Blankenbach RGB-D Semantic Segmentation for Indoor Modeling Using Deep Learning: A Review 1: College of Geomatic Sciences and Surveying Engineering, IAV Hassan II, Rabat 6202, Morocco; 2: ICube Laboratory UMR 7357, Photogrammetry and Geomatics Group, National Institute of Applied Sciences (INSA Strasbourg), 24, Boulevard de la Victoire, 67084 Strasbourg, France A framework for generating IndoorGML data from omnidirectional images University of Seoul, Korea, Republic of (South Korea) Deep Adaptive Network for WiFi-based Indoor Localization York University, Canada MoLi-PoseGAN: Model-based Indoor Relocalization using GAN and Deep Pose Regression from Synthetic LiDAR Scans The University of Melbourne, Australia Digital Twins: Simulating Robot-Human Sidewalk Interactions 1: Department of Earth and Space Science and Engineering, Lassonde School of Engineering, York University; 2: Department of Information and Computer Science, King Fahd University of Petroleum and Minerals; 3: Department of Electrical Engineering and Computer Science, Lassonde School of Engineering, York University; 4: Department of Urban Engineering, Hanbat National University, South Korea; 5: Esri Switzerland |
3:15pm - 5:00pm |
D1-S3-HS2: 3D Data Modelling and Topology Location: Lecture Hall HS2 Chair: Dr. Claire Ellul A Level of as-is Detail Concept for Digital Twins of Roads - Case Study RWTH Aachen University, Germany Digital geoTwin: a CityGML-based data model for the virtual replica of the City of Vienna 1: City of Vienna, Austria; 2: 3D Geoinformation group, Delft University of Technology A Hierarchy of Levels of Detail for 3D Utility Network Models Department of Geomatic Sciences, Université Laval, Québec, Canada Topological representation of a 4D cell complex and its dual – feasibility study Wroclaw University of Environmental and Life Sciences, Poland 3D Topology Rules Implementation in Spatial Database 3D GIS Lab, Dept. of Geoinformation, Fac. of Built Environment and Surveying, Universiti Teknologi Malaysia, Malaysia |
Date: Thursday, 14/Sept/2023 | |
10:30am - 12:15pm |
D2-S1-HS2: Software and Tools for 3D Spatial Data Location: Lecture Hall HS2 Chair: Dr. Mila Koeva OGC Data Exchange Toolkit: Interoperable and Reusable 3D data at the end of the OGC Rainbow Open Geospatial Consortium cjdb: a simple, fast, and lean database solution for the CityGML data model 1: Delft University of Technology, the Netherlands; 2: 3DGI, the Netherlands Introducing the 3DCityDB-Tools plug-in for QGIS 1: Delft University of Technology, Netherlands, The; 2: Noria; 3: virtualcitysystems GmbH Challenges and Steps Toward Implementing 3D Cadastral Database - Physical Data Model of LADM 1: The Centre for Spatial Data Infrastructures and Land Administration, Department of Infrastructure Engineering, The University of Melbourne, Parkville, Victoria, Australia; 2: School of Civil and Environmental Engineering, UNSW, Sydney, Australia Optim3D: Efficient and scalable generation of large-scale 3D building models UR SPHERES, Geomatics Unit, University of Liège |
1:15pm - 3:00pm |
D2-S2-HS2: Sensors and dynamic data in Urban Digital Twins Location: Lecture Hall HS2 Chair: Prof. Sisi Zlatanova Dynamic Digital Twins: Challenges, Perspectives and Practical Implementation from a City's Perspective 1: University of Potsdam, Digital Engineering Faculty, Germany; 2: Amt für Geoinformation, Vermessung und Kataster Essen, Germany; 3: University of Potsdam, Digital Engineering Faculty, Hasso Plattner Institute, Germany Humans as Sensors in Urban Digital Twins 1: Department of Architecture, National University of Singapore, Singapore; 2: Department of Geography, National University of Singapore, Singapore; 3: Department of Real Estate, National University of Singapore, Singapore Visualisation Requirements for Integrated 3D City Models and Sensor Data in Urban Digital Twins Technische Universität München, Germany Investigation of CityGML 3.0 for modelling temporal aspects in underground land administration 1: University of Melbourne, Australia; 2: University of New South Wales, Australia Integrating dynamic data with 3D city models via CityJSON extension 1: Hassan II Institute of Agronomy and Veterinary Medicine; 2: Liege University |
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