Conference Agenda

Recommendation for vegetation information in 3D city models in an urban planning perspective

Karolina Pantazatou, Jouri Kanters, Kristoffer Mattisson, Per-Ola Olsson, Lars Harrie

Lund University, Sweden

Shadowing calculation on urban areas from Semantic 3D City Models

Longxiang Xu¹, Camilo Alexander Leon Sanchez², Giorgio Agugiaro², Jantien Stoter²

1: Delft University of Technology, The Netherlands; 2: 3D Geoinformation Group, Delft University of Technology, Faculty of Architecture and the Built Environment, Department of Urbanism

Supporting teleoperated humanitarian aid missions with 3D visualization using remote sensing data

Lucas Dominik Angermann, Magdalena Felicitas Halbgewachs, Konstanze Lechner

German Remote Sensing Data Center (DFD), German Aerospace Center (DLR), 82234 Wessling, Germany

Solid Waste In The Virtual World: A Digital Twinning Approach For Waste Collection Planning

Iván Cárdenas¹, Mila Koeva¹, Calayde Davey², Pirouz Nourian¹

1: University of Twente, Netherlands, The; 2: University of Pretoria

Automatically evaluating the service quality of bicycle paths based on semantic 3D city models

Christof Beil¹, Mario Ilic², Andreas Keler³, Thomas H. Kolbe¹

1: Chair of Geoinformatics, Technical University of Munich, Germany; 2: Chair of Traffic Engineering and Control, Technical University of Munich, Germany; 3: Applied Geoinformatics, University of Augsburg, Germany

Virtual Reality experience analysis from Point Cloud Data

Diego Aneiros Egido¹, Jesús Balado Frías¹, Ha Tran², Lucía Díaz Vilariño¹

1: University of Vigo, Spain; 2: University of Melbourne, Australia

Visualisation of 3D Uncertainties for Subsurface Infrastructure using Augmented Reality

Simon Quaade Vinther, Frida Dalbjerg Kunnerup, Lars Bodum, Lasse Hedegaard Hansen, Simon Wyke

Department of Planning, Aalborg University, Denmark

Immersive virtual reality to verify the as-built state of electric line networks in buildings

Julius Knechtel¹, Weilian Li¹, Yannick Orgeig¹, Jan-Henrik Haunert¹, Youness Dehbi²

1: University of Bonn, Germany; 2: HafenCity University Hamburg, Germany

3D Data Mapping with Augmented Reality

Ming-Chun Lee

University of North Carolina at Charlotte, United States of America

Creating a 3D Multi-Dataset Bubble in Support of OGC Testbed-19 and Metaverse Standards Prototypes

James Richard Alexander Clarke¹, Steve Smyth², Rob Smith³, Jeremy Morley¹

1: Ordnance Survey, United Kingdom; 2: OpenSitePlan; 3: Away Team

Assessment of the LoD specification for the integration of BIM models in 3D city model

Jasper van der Vaart¹, Jantien Stoter¹, Abdoulaye Diakité³, Filip Biljecki², Ken Arroyo Ohori¹, Amir Hakim¹

1: TU Delft, Netherlands, The; 2: National University of Singapore; 3: Independent GIS/BIM expert

IFC georeferencing for OSM

Helga Tauscher¹, Dominik Heigener², Subhashini Krishnakumar², Thomas Graichen³, Rebecca Schmidt³, Julia Richter³

1: HTW Dresden, Germany; 2: Bauhaus-Universität Weimar, Germany; 3: Chemnitz University of Technology, Germany

Merging BIM, Land Use and 2D Cadastral Maps into a Digital Twin Fit – For – Purpose Geospatial Infrastructure

Dimitra Andritsou, Sofia Soile, Chryssy Potsiou

National Technical University of Athens, Greece, Greece

Artificial Intelligence for the automated creation of multi-scale digital twins of the built world - AI4TWINNING

André Borrmann, Manoj Biswanath, Alex Braun, Zhaiyu Chen, Daniel Cremers, Medhini Heeramaglore, Ludwig Hoegner, Mansour Mehranfar, Thomas Kolbe, Frank Petzold, Alejandro Rueda, Sergei Solonets, Xiao Xiang Zhu

Technical University of Munich, Germany

Development of a Geo to BIM converter: CityJSON importer plugin for Autodesk Revit

Amir Hakim, Jasper van der Vaart, Ken Arroyo Ohori, Jantien Stoter

TU Delft, Netherlands, The

Enriched semantic 3D point clouds: An alternative to 3D City models for Digital Twin for Cities?

IMANE JEDDOUB*¹, ZOUHAIR BALLOUCH*^1,2, RAFIKA HAJJI², ROLAND BILLEN¹

1: University of Liège, Belgium; 2: College of Geomatic Sciences and Surveying Engineering, Hassan II Institute of Agronomy and Veterinary Medicine, Rabat 10101, Morocco

Unsupervised Roofline Extraction from True Orthophotos for LoD2 Building Model Reconstruction

Weixiao Gao¹, Ravi Peters², Jantien Stoter¹

1: Dept. Urbanism, Delft University of Technology, The Netherlands; 2: 3DGI, Zoetermeer, The Netherlands

Enhancing Realism in Urban Simulations: A Mapping Framework for the German National Standard XPlanung and CityGML

Hamza Zahid¹, Ihab Hijazi^1,2, Andreas Donaubauer¹, Thomas H. Kolbe¹

1: Technical University of Munich, Germany; 2: An-Najah National University, Nablus, Palestine

An Alternative Raw Data Acquisition Approach for Reconstruction of LOD3 Models

Florian Frank¹, Ludwig Hoegner², Peter Buckel³, Kris Dalm⁴

1: Institute for Continuing Education, Knowledge and Technology Transfer, Germany; 2: Hochschule München University of Applied Sciences, Germany; 3: Baden-Wuerttemberg Cooperative State University (DHBW), Germany; 4: Ostbayerische Technische Hochschule Amberg-Weiden, University of Applied Sciences, Germany

Identification and Interpretation of Change Patterns in Semantic 3D City Models

Son H. Nguyen, Thomas H. Kolbe

Technical University of Munich, Germany

Reconstructing façade details using MLS point clouds and Bag-of-Words approach

Thomas Fröch¹, Olaf Wysocki¹, Ludwig Hoegner^1,2, Uwe Stilla¹

1: Technical University Munich, Germany; 2: University of Applied Sciences Munich, Germany

Generating 3D Roof Models from ALS Point Clouds using Roof Line Topologies

Gefei Kong, Hongchao Fan

Norwegian University of Science and Technology, Norway

MLS2LoD3: Refining low LoDs building models with MLS point clouds to reconstruct semantic LoD3 building models

Olaf Wysocki¹, Ludwig Hoegner^1,2, Uwe Stilla¹

1: Photogrammetry and Remote Sensing, TUM School of Engineering and Design, Technical University of Munich, Germany; 2: Department of Geoinformatics, University of Applied Science (HM), Munich, Germany

Semantic segmentation of buildings using multisource ALS data

Agata Walicka¹, Norbert Pfeifer²

1: Wrocław University of Environmental and Life Sciences, Institute of Geodesy and Geoinformatics, 50-375 Wrocław, Poland,; 2: Department of Geodesy and Geoinformation, Technische Universität Wien, 1040 Vienna, Austria,

Classifying point clouds at the facade-level using geometric features and deep learning networks

Yue Tan¹, Olaf Wysocki¹, Uwe Stilla¹, Ludwig Hoegner^1,2

1: Technical University of Munich, Germany; 2: Hochschule München University of Applied Sciences, Germany