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

Efficient In-Memory Point Cloud Query Processing

Balthasar Teuscher¹, Oliver Geißendörfer¹, Luo Xuanshu¹, Hao Li¹, Katharina Anders^1,2, Christoph Holst¹, Martin Werner¹

1: Technical University of Munich, Germany; 2: Heidelberg University, Germany

Transferring façade labels between point clouds with semantic octrees while considering change detection

Sophia Maria Schwarz¹, Tanja Sophie Pilz¹, Olaf Wysocki¹, Ludwig Hoegner^1,2, Uwe Stilla¹

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

Wahyu Marta Mutiarasari, Alias Abdul Rahman

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

Nina Homainejad¹, Lukas Winiwarter^2,3, Markus Hollaus², Sisi Zlatanova¹, Norbert Pfeifer²

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?

Vitali Diaz, Peter van Oosterom, Martijn Meijers, Edward Verbree, Ahmed Nauman, Thijs van Lankveld

TU Delft, Netherlands

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

RGB-D Semantic Segmentation for Indoor Modeling Using Deep Learning: A Review

Ishraq Rached¹, Rafika Hajji¹, Tania Landes²

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

Misun Kim, Jeongwon Lee, Jiyeong Lee

University of Seoul, Korea, Republic of (South Korea)

Deep Adaptive Network for WiFi-based Indoor Localization

Afnan Ahmad, Gunho Sohn

York University, Canada

MoLi-PoseGAN: Model-based Indoor Relocalization using GAN and Deep Pose Regression from Synthetic LiDAR Scans

Hang Zhao, Martin Tomko, Kourosh Khoshelham

The University of Melbourne, Australia

Digital Twins: Simulating Robot-Human Sidewalk Interactions

Ali Hassan¹, Muhammad Usman², Melissa Kremer³, Seungho Yang⁴, Michael Luubert⁵, Petros Faloutsos³, G. Brent Hall⁵, Gunho Sohn*¹

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

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

A Level of as-is Detail Concept for Digital Twins of Roads - Case Study

David Crampen, Marcel Hein, Jörg Blankenbach

RWTH Aachen University, Germany

Digital geoTwin: a CityGML-based data model for the virtual replica of the City of Vienna

Hubert Lehner¹, Sara Lena Kordasch¹, Charlotte Glatz¹, Giorgio Agugiaro²

1: City of Vienna, Austria; 2: 3D Geoinformation group, Delft University of Technology

A Hierarchy of Levels of Detail for 3D Utility Network Models

Zihan Chen, Jacynthe Pouliot, Frédéric Hubert

Department of Geomatic Sciences, Université Laval, Québec, Canada

Topological representation of a 4D cell complex and its dual – feasibility study

Pawel Boguslawski

Wroclaw University of Environmental and Life Sciences, Poland

3D Topology Rules Implementation in Spatial Database

Syahiirah Salleh, Uznir Ujang, Suhaibah Azri

3D GIS Lab, Dept. of Geoinformation, Fac. of Built Environment and Surveying, Universiti Teknologi Malaysia, Malaysia

The 3D Geoinfo journey from 2006 to 2022 – a reflection

Alias Abdul Rahman

Universiti Teknologi Malaysisa, Malaysia

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

OGC Data Exchange Toolkit: Interoperable and Reusable 3D data at the end of the OGC Rainbow

Francesca Noardo, Rob Atkinson, Ingo Simonis, Alejandro Villar, Piotr Zaborowski

Open Geospatial Consortium

cjdb: a simple, fast, and lean database solution for the CityGML data model

Leon Powałka¹, Chris Poon¹, Yitong Xia¹, Siebren Meines¹, Lan Yan¹, Yuduan Cai¹, Gina Stavropoulou¹, Balázs Dukai², Hugo Ledoux¹

1: Delft University of Technology, the Netherlands; 2: 3DGI, the Netherlands

Introducing the 3DCityDB-Tools plug-in for QGIS

Giorgio Agugiaro¹, Konstantinos Pantelios², Camilo León-Sánchez¹, Zhihang Yao³, Claus Nagel³

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

Javad Shahidinejad¹, Mohsen Kalantari², Abbas Rajabifard¹

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

Anass Yarroudh, Abderrazzaq Kharroubi, Roland Billen

UR SPHERES, Geomatics Unit, University of Liège

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

Dynamic Digital Twins: Challenges, Perspectives and Practical Implementation from a City's Perspective

Rico Richter¹, Frank Knospe², Matthias Trapp³, Jürgen Döllner³

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

Binyu Lei¹, Yunlei Su², Filip Biljecki^1,3

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

Joseph Mureithi Gitahi, Thomas H Kolbe

Technische Universität München, Germany

Investigation of CityGML 3.0 for modelling temporal aspects in underground land administration

Bahram Saeidian¹, Abbas Rajabifard¹, Behnam Atazadeh¹, Mohsen Kalantari²

1: University of Melbourne, Australia; 2: University of New South Wales, Australia

Integrating dynamic data with 3D city models via CityJSON extension

Khawla Boumhidi¹, Gilles-Antoine Nys², Rafika Hajji¹

1: Hassan II Institute of Agronomy and Veterinary Medicine; 2: Liege University