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).

 
 
Session Overview
Date: Tuesday, 12/Sept/2023
9:00am
-
5:00pm
W1: International Forum on Urban Digital Twins
Location: Munich Urban Colab

Please visit 3DGeoInfo web site for further information

5:00pm
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7:00pm
1: Get Together
Date: Wednesday, 13/Sept/2023
7:30am
-
8:30am
R1: Conference Registration
8:30am
-
9:30am
Opening-D1-HS1: Opening Session
Location: Lecture Hall HS1

Opening by Prof. Dr. Thomas H. Kolbe, Conference Chair

Welcome by Prof. Dr. Werner Lang, TUM Vice President Sustainable Transformation

Keynote by Yuya Uchiyama, Ministry of Land, Infrastructure, Transport and Tourism, Japan:
Project PLATEAU ~The initiative of Digital Twin in Japan

9:30am
-
10:00am
D1-B1: Morning Coffee/Tea Break
10:00am
-
11:45am
D1-S1-HS1: Applications of 3D City Models and Digital Twins
Location: Lecture Hall HS1
Chair: Dr. Giorgio Agugiaro
 

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

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

Balthasar Teuscher1, Oliver Geißendörfer1, Luo Xuanshu1, Hao Li1, Katharina Anders1,2, 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 Hoegner1,2, 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 Winiwarter2,3, 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

11:45am
-
1:00pm
D1-B2: Lunch
1:00pm
-
2:45pm
D1-S2-HS1: VR / AR and Visualization
Location: Lecture Hall HS1
Chair: Prof. Jacynthe Pouliot
 

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

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

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

2:45pm
-
3:15pm
D1-B3: Afternoon Coffee/Tea Break
3:15pm
-
5:00pm
D1-S3-HS1: GIS / BIM Integration
Location: Lecture Hall HS1
Chair: Dr. Ihab Hijazi
 

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

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

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

7:00pm
-
11:59pm
D1-Dinner: CONFERENCE DINNER @Augustiner Stammhaus Marienplatz
Location: Augustiner Stammhaus (Munich City Center)
 

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

Alias Abdul Rahman

Universiti Teknologi Malaysisa, Malaysia

Date: Thursday, 14/Sept/2023
8:00am
-
9:00am
R2: Conference Registration
9:00am
-
9:55am
Opening-D2-HS1: Opening Session
Location: Lecture Hall HS1

Keynote by Filip Biljecki, National University of Singapore

Presentation by Brooks Patrick from our Platinum Sponsor Esri Deutschland GmbH:

Urban Digital Twins in Action: Practical Strategies and Applications

 

9:55am
-
10:30am
D2-B1: Morning Coffee/Tea Break
10:30am
-
12:15pm
D2-S1-HS1: 3D Data Acquisition, Analysis and Simulation for Urban Digital Twins
Location: Lecture Hall HS1
Chair: Prof. Youness Dehbi
 

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 Hijazi1,2, 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

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

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

12:15pm
-
1:15pm
D2-B2: Lunch
1:15pm
-
3:00pm
D2-S2-HS1: Deriving 3D models from point clouds
Location: Lecture Hall HS1
Chair: Prof. Roland Billen
 

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

Thomas Fröch1, Olaf Wysocki1, Ludwig Hoegner1,2, 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 Hoegner1,2, 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 Hoegner1,2

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

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

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 Biljecki1,3

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

3:00pm
-
3:30pm
D2-B3: Afternoon Coffee/Tea Break
3:30pm
-
4:00pm
Closing-D2-HS1: Closing Session
Location: Lecture Hall HS1

 
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