Accepted Papers for Presentation at the 18th 3DGeoInfo Conference

Introducing the 3DCityDB-Tools plug-in for QGIS

Agugiaro, Giorgio (1);
Pantelios, Konstantinos (2);
León-Sánchez, Camilo (1);
Yao, Zhihang (3);
Nagel, Claus (3)

1: Delft University of Technology, Netherlands, The;
2: Noria;
3: virtualcitysystems GmbH

Deep Adaptive Network for WiFi-based Indoor Localization

Ahmad, Afnan;
Sohn, Gunho

York University, Canada

Merging BIM, Land Use and 2D Cadastral Maps into a Digital Twin Infrastructure

Andritsou, Dimitra;
Soile, Sofia;
Potsiou, Chryssy

National Technical University of Athens, Greece, Greece

Virtual Reality experience analysis from Point Cloud Data

Aneiros Egido, Diego (1);
Balado Frías, Jesús (1);
Tran, Ha (2);
Díaz Vilariño, Lucía (1)

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

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

Beil, Christof (1);
Ilic, Mario (2);
Keler, Andreas (3);
Kolbe, Thomas H. (1)

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

Integrating dynamic data with 3D city models via CityJSON extension

Boumhidi, Khawla (1);
Nys, Gilles-Antoine (2);
Hajji, Rafika (1)

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

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

Crampen, David;
Hein, Marcel;
Blankenbach, Jörg

RWTH Aachen University, Germany

An Alternative Data Acquisition Approach for Reconstruction of LOD3 Models

Frank, Florian (1);
Hoegner, Ludwig (2);
Buckel, Peter (3);
Dalm, Kris (4)

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

Unsupervised Roofline Extraction from True Orthophotos for LoD2 Building Model Reconstruction

Gao, Weixiao (1);
Peters, Ravi (2);
Stoter, Jantien (1)

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

Visualisation Requirements for Integrated 3D City Models and Sensor Data in Urban Digital Twins

Gitahi, Joseph Mureithi;
Kolbe, Thomas H

Technische Universität München, Germany

Digital Twins: Simulating Robot-Human Sidewalk Interactions

Hassan, Ali (1);
Usman, Muhammad (2);
Kremer, Melissa (3);
Yang, Seungho (4);
Faloutsos, Petros (3);
Sohn*, Gunho (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

sensing heathland vegetation structure from ULS: Comparing sensors and flying heights

Homainejad, Nina (1);
Winiwarter, Lukas (2,3);
Hollaus, Markus (2);
Zlatanova, Sisi (1);
Pfeifer, Norbert (2)

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

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

JEDDOUB*, IMANE (1);
BALLOUCH*, ZOUHAIR (1,2);
HAJJI, RAFIKA (2);
BILLEN, ROLAND (1)

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

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

Knechtel, Julius (1);
Li, Weilian (1);
Orgeig, Yannick (1);
Haunert, Jan-Henrik (1);
Dehbi, Youness (2)

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

Digital geoTwin – Data model for a virtual replica of the City of Vienna

Lehner, Hubert (1);
Kordasch, Sara Lena (1);
Glatz, Charlotte (1);
Agugiaro, Giorgio (2)

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

Matching Change Patterns in Semantic 3D City Models

Nguyen, Son H.;
Kolbe, Thomas H.

Technical University of Munich, Germany

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

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

Lund University, Sweden

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

Powałka, Leon (1);
Poon, Chris (1);
Xia, Yitong (1);
Meines, Siebren (1);
Yan, Lan (1);
Cai, Yuduan (1);
Stravopoulou, Gina (1);
Dukai, Balázs (2);
Ledoux, Hugo (1)

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

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

Rached, Ishraq (1);
Hajji, Rafika (1);
Landes, Tania (2)

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

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

Richter, Rico (1);
Knospe, Frank (2);
Trapp, Matthias (3);
Döllner, Jürgen (3)

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

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

Saeidian, Bahram (1);
Rajabifard, Abbas (1);
Atazadeh, Behnam (1);
Kalantari, Mohsen (2)

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

Visualisation of 3D Uncertainties for Subsurface Infrastructure using Augmented Reality

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

Department of Planning, Aalborg University, Denmark

Enhancing Realism in Urban Simulations: A Mapping Framework for XPlanung and CityGML.

Zahid, Hamza (1);
Hijazi, Ihab (1,2);
Donabauer, Andreas (1);
Kolbe, Thomas H. (1)

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

The 3D Geoinfo journey from 2006 to 2022 – a reflectionAbdul Rahman, AliasUniversiti Teknologi Malaysisa, Malaysia
Supporting teleoperated humanitarian aid missions with 3D visualization using remote sensing dataAngermann, Lucas Dominik;
Halbgewachs, Magdalena Felicitas;
Lechner, Konstanze
German Remote Sensing Data Center (DFD), German Aerospace Center (DLR), 82234 Wessling, Germany
OGC Data Exchange Toolkit: Interoperable and Reusable 3D data at the end of the OGC RainbowAtkinson, Rob;
Noardo, Francesca;
Simonis, Ingo;
Villar, Alejandro;
Zaborowski, Piotr
Open Geospatial Consortium
Topological representation of a 4D cell complex and its dual – feasibility studyBoguslawski, PawelWroclaw University of Environmental and Life Sciences, Poland
Artificial Intelligence for the automated creation of multi-scale digital twins of the built world - AI4TWINNINGBorrmann, André;
Biswanath, Manoj;
Braun, Alex;
Chen, Zhaiyu;
Cremers, Daniel;
Heeramaglore, Medhini;
Hoegner, Ludwig;
Mehranfar, Mansour;
Kolbe, Thomas;
Petzold, Frank;
Rueda, Alejandro;
Solonets, Sergei;
Zhu, Xiao Xiang
Technical University of Munich, Germany
INNOVATIVE DIGITAL TWIN BASED SOLUTION FOR IMPROVING SOLID WASTE MANAGEMENTCardenas, Ivan (1);
Koeva, Mila (1);
Davey, Calayde (2);
Nourian, Pirouz (1)
1: University of Twente, Netherlands, The;
2: University of Pretoria
A Hierarchy of Levels of Detail for 3D Utility Network ModelsChen, Zihan;
Pouliot, Jacynthe;
Hubert, Frédéric
Department of Geomatic Sciences, Université Laval, Québec, Canada
Creating a 3D Multi-Dataset Bubble in Support of OGC Testbed-19 and Metaverse Standards PrototypesClarke, James Richard Alexander (1);
Smyth, Steve (2);
Smith, Rob (3);
Morley, Jeremy (1)
1: Ordnance Survey, United Kingdom;
2: OpenSitePlan;
3: Away Team
Comparison of point distance calculation methods in point clouds ¿Is the most complex always the most suitable?Diaz, VitaliTU Delft, Netherlands
Reconstructing facade details using MLS point clouds and Bag-of-Words approachFröch, Thomas (1);
Wysocki, Olaf (1);
Hoegner, Ludwig (1,2);
Stilla, Uwe (1)
1: Technical University Munich, Germany;
2: University of Applied Sciences Munich, Germany
Efficient In-Memory Point Cloud Query ProcessingGeißendörfer, Oliver (1);
Anders, Katharina (1,2);
Teuscher, Balthasar (1);
Li, Hao (1);
Holst, Christoph (1);
Werner, Martin (1)
1: Technical University of Munich, Germany;
2: Heidelberg University, Germany
Development of a Geo to BIM converter: CityJSON importer plugin for Autodesk RevitHakim, Amir;
van der Vaart, Jasper;
Ohori, Ken Arroyo;
Stoter, Jantien
TU Delft, Netherlands, The
A framework for generating IndoorGML data from omnidirectional imagesKim, Misun;
Lee, Jeongwon;
Lee, Jiyeong
University of Seoul, Korea, Republic of (South Korea)
Generating 3D Roof Models from ALS Point Clouds using Roof Line TopologiesKong, Gefei;
Fan, Hongchao
Norwegian University of Science and Technology, Norway
3D Data Mapping with Augmented RealityLee, Ming-ChunUniversity of North Carolina at Charlotte, United States of America
Human as Sensors in Urban Digital TwinsLei, Binyu (1);
Su, Yunlei (2);
Biljecki, Filip (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
Investigating Data Fusion from Three Different Point Clouds Datasets by using Iterative Closest Point (ICP) RegistrationMutiarasari, Wahyu Marta;
Abdul Rahman, Alias
3D GIS Research Lab, Department of Geoinformation, Faculty of Built Environment and Surveying, Universiti Teknologi Malaysia, Malaysia
3D Topology Rules Implementation in Spatial DatabaseSalleh, Syahiirah;
Ujang, Uznir;
Azri, Suhaibah
3D GIS Lab, Dept. of Geoinformation, Fac. of Built Environment and Surveying, Universiti Teknologi Malaysia, Malaysia
Transferring façade labels between point clouds with semantic octrees while considering change detectionSchwarz, Sophia Maria (1);
Pilz, Tanja Sophie (1);
Wysocki, Olaf (1);
Hoegner, Ludwig (1,2);
Stilla, Uwe (1)
1: Technical University Munich, Germany;
2: University of Applied Sciences Munich, Germany
Challenges and Steps Toward Implementing 3D Cadastral Database - Physical Data Model of LADMShahidinejad, Javad (1);
Kalantari, Mohsen (2);
Rajabifard, Abbas (1)
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
Classifying point clouds at the facade-level using geometric features and deep learning networksTan, Yue (1);
Wysocki, Olaf (1);
Stilla, Uwe (1);
Hoegner, Ludwig (1,2)
1: Technical University of Munich, Germany;
2: Hochschule München University of Applied Sciences, Germany
IFC georeferencing for OSMTauscher, Helga (1);
Heigener, Dominik (2);
Krishnakumar, Subhashini (2);
Graichen, Thomas (3);
Richter, Julia (3)
1: HTW Dresden, Germany;
2: Bauhaus-Universität Weimar, Germany;
3: Chemnitz University of Technology, Germany
Assessment of the LoD specification for the integration of BIM models in 3D city modelVaart, Jasper van der (1);
Biljecki, Filip (2);
Diakité, Abdoulaye (3);
Ohori, Ken Arroyo (1);
Hakim, Amir (1);
Stoter, Jantien (1)
1: TU Delft, Netherlands, The;
2: National University of Singapore;
3: Independent GIS/BIM expert
Semantic segmentation of buildings using multisource ALS dataWalicka, Agata (1);
Pfeifer, Norbert (2)
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,
MLS2LoD3: Refining low LoDs building models with MLS point clouds to reconstruct semantic LoD3 building modelsWysocki, Olaf (1);
Hoegner, Ludwig (1,2);
Stilla, Uwe (1)
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
Shadowing calculation on urban areas from Semantic 3D City ModelsXu, Longxiang (1);
Leon Sanchez, Camilo Alexander (2);
Agugiaro, Giorgio (2);
Stoter, Jantien (2)
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
Optim3D: Efficient and scalable generation of large-scale 3D building modelsYarroudh, Anass;
Kharroubi, Abderrazzaq;
Billen, Roland
UR SPHERES, Geomatics Unit, University of Liège
MoLi-PoseGAN: Model-based Indoor Relocalization using GAN and Deep Pose Regression from Synthetic LiDAR ScansZhao, Hang;
Tomko, Martin;
Khoshelham, Kourosh
The University of Melbourne, Australia
The date for Camera-Ready paper submission is

We welcome original research contributions that address theoretical, methodological, or application-oriented aspects of 3D/4D geo-information, including but not limited to:

      • 3D/4D (city) modelling and visualization
      • 3D/4D data acquisition, processing, management and integration
      • Geo-information standards and GIS-BIM interoperability / GeoBIM
      • 3D indoor and outdoor navigation
      • Applications of 3D/4D Geoinformation such as simulations and analyses
      • 3D/4D interfaces such as virtual, mixed, and augmented reality
      • 3D/4D geospatial big data and machine learning
      • Smart Cities and 3D/4D Urban Digital Twins

Accepted papers will be published in Springer’s Lecture Notes in Geoinformation and Cartography (LNG&C) series which is indexed by Scopus, Thomson Reuters Conference Proceedings Citation Index (included in ISI Web of Science).

Submissions must be original work that has not been published elsewhere. Any papers that have been previously published, are under review elsewhere, or have been accepted for publication elsewhere will not be considered.

All submissions will be reviewed by members of the international scientific committee through a double-blind review process.

There will be two publication pathways available:

      • Pathway 1: Double blind reviewed full papers (Length: 6000 words) A Full Paper submission for Pathway 1 does not require an abstract submission before hand. Full papers in Pathway 1 will be peer-reviewed and marked accordingly in the conference proceedings.
      • Pathway 2: Articles selected based on double-blind reviewed extended abstracts (Length: 1000-1500 words) Authors whose extended abstracts are accepted will be invited to submit a full paper (length: 3000 – 6000 words) in submission Pathway 2. The full paper in Pathway 2 will not be peer-reviewed. The full paper will be marked “accepted based on double-blind reviewed extended abstract” in the conference proceedings.

At least one author per accepted paper must be registered as participant and present their work in person at the conference. One author can at most present two papers.

Submissions must be prepared according to the templates and technical instructions of Springer’s proceedings series. Please carefully read the corresponding guidelines and prepare your paper accordingly using the macros available in the provided template. This includes the font type and size, spacing, margins, and referencing style. Failure to follow these guidelines may result in rejection of the paper.

Important Dates

Publication Pathway 1 – Full paper submission
Full Paper due (hard deadline)01. May 2023  15. May 2023
Author Notification05. June 2023  19. June 2023
Publication Pathway 2 – Extended abstract submission
Extended Abstract due (hard deadline)15. May 2023  22. May 2023
Author Notification19. June 2023 The author notifications are out.
Publication Pathway 1 & 2
Camera-ready papers 19. July 2023 20. July 2023

Accepted Papers for Presentation at the 18th 3DGeoInfo Conference

Introducing the 3DCityDB-Tools plug-in for QGIS

Agugiaro, Giorgio (1);
Pantelios, Konstantinos (2);
León-Sánchez, Camilo (1);
Yao, Zhihang (3);
Nagel, Claus (3)

1: Delft University of Technology, Netherlands, The;
2: Noria;
3: virtualcitysystems GmbH

Deep Adaptive Network for WiFi-based Indoor Localization

Ahmad, Afnan;
Sohn, Gunho

York University, Canada

Merging BIM, Land Use and 2D Cadastral Maps into a Digital Twin Infrastructure

Andritsou, Dimitra;
Soile, Sofia;
Potsiou, Chryssy

National Technical University of Athens, Greece, Greece

Virtual Reality experience analysis from Point Cloud Data

Aneiros Egido, Diego (1);
Balado Frías, Jesús (1);
Tran, Ha (2);
Díaz Vilariño, Lucía (1)

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

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

Beil, Christof (1);
Ilic, Mario (2);
Keler, Andreas (3);
Kolbe, Thomas H. (1)

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

Integrating dynamic data with 3D city models via CityJSON extension

Boumhidi, Khawla (1);
Nys, Gilles-Antoine (2);
Hajji, Rafika (1)

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

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

Crampen, David;
Hein, Marcel;
Blankenbach, Jörg

RWTH Aachen University, Germany

An Alternative Data Acquisition Approach for Reconstruction of LOD3 Models

Frank, Florian (1);
Hoegner, Ludwig (2);
Buckel, Peter (3);
Dalm, Kris (4)

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

Unsupervised Roofline Extraction from True Orthophotos for LoD2 Building Model Reconstruction

Gao, Weixiao (1);
Peters, Ravi (2);
Stoter, Jantien (1)

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

Visualisation Requirements for Integrated 3D City Models and Sensor Data in Urban Digital Twins

Gitahi, Joseph Mureithi;
Kolbe, Thomas H

Technische Universität München, Germany

Digital Twins: Simulating Robot-Human Sidewalk Interactions

Hassan, Ali (1);
Usman, Muhammad (2);
Kremer, Melissa (3);
Yang, Seungho (4);
Faloutsos, Petros (3);
Sohn*, Gunho (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

sensing heathland vegetation structure from ULS: Comparing sensors and flying heights

Homainejad, Nina (1);
Winiwarter, Lukas (2,3);
Hollaus, Markus (2);
Zlatanova, Sisi (1);
Pfeifer, Norbert (2)

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

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

JEDDOUB*, IMANE (1);
BALLOUCH*, ZOUHAIR (1,2);
HAJJI, RAFIKA (2);
BILLEN, ROLAND (1)

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

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

Knechtel, Julius (1);
Li, Weilian (1);
Orgeig, Yannick (1);
Haunert, Jan-Henrik (1);
Dehbi, Youness (2)

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

Digital geoTwin – Data model for a virtual replica of the City of Vienna

Lehner, Hubert (1);
Kordasch, Sara Lena (1);
Glatz, Charlotte (1);
Agugiaro, Giorgio (2)

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

Matching Change Patterns in Semantic 3D City Models

Nguyen, Son H.;
Kolbe, Thomas H.

Technical University of Munich, Germany

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

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

Lund University, Sweden

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

Powałka, Leon (1);
Poon, Chris (1);
Xia, Yitong (1);
Meines, Siebren (1);
Yan, Lan (1);
Cai, Yuduan (1);
Stravopoulou, Gina (1);
Dukai, Balázs (2);
Ledoux, Hugo (1)

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

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

Rached, Ishraq (1);
Hajji, Rafika (1);
Landes, Tania (2)

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

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

Richter, Rico (1);
Knospe, Frank (2);
Trapp, Matthias (3);
Döllner, Jürgen (3)

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

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

Saeidian, Bahram (1);
Rajabifard, Abbas (1);
Atazadeh, Behnam (1);
Kalantari, Mohsen (2)

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

Visualisation of 3D Uncertainties for Subsurface Infrastructure using Augmented Reality

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

Department of Planning, Aalborg University, Denmark

Enhancing Realism in Urban Simulations: A Mapping Framework for XPlanung and CityGML.

Zahid, Hamza (1);
Hijazi, Ihab (1,2);
Donabauer, Andreas (1);
Kolbe, Thomas H. (1)

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

The 3D Geoinfo journey from 2006 to 2022 – a reflectionAbdul Rahman, AliasUniversiti Teknologi Malaysisa, Malaysia
Supporting teleoperated humanitarian aid missions with 3D visualization using remote sensing dataAngermann, Lucas Dominik;
Halbgewachs, Magdalena Felicitas;
Lechner, Konstanze
German Remote Sensing Data Center (DFD), German Aerospace Center (DLR), 82234 Wessling, Germany
OGC Data Exchange Toolkit: Interoperable and Reusable 3D data at the end of the OGC RainbowAtkinson, Rob;
Noardo, Francesca;
Simonis, Ingo;
Villar, Alejandro;
Zaborowski, Piotr
Open Geospatial Consortium
Topological representation of a 4D cell complex and its dual – feasibility studyBoguslawski, PawelWroclaw University of Environmental and Life Sciences, Poland
Artificial Intelligence for the automated creation of multi-scale digital twins of the built world - AI4TWINNINGBorrmann, André;
Biswanath, Manoj;
Braun, Alex;
Chen, Zhaiyu;
Cremers, Daniel;
Heeramaglore, Medhini;
Hoegner, Ludwig;
Mehranfar, Mansour;
Kolbe, Thomas;
Petzold, Frank;
Rueda, Alejandro;
Solonets, Sergei;
Zhu, Xiao Xiang
Technical University of Munich, Germany
INNOVATIVE DIGITAL TWIN BASED SOLUTION FOR IMPROVING SOLID WASTE MANAGEMENTCardenas, Ivan (1);
Koeva, Mila (1);
Davey, Calayde (2);
Nourian, Pirouz (1)
1: University of Twente, Netherlands, The;
2: University of Pretoria
A Hierarchy of Levels of Detail for 3D Utility Network ModelsChen, Zihan;
Pouliot, Jacynthe;
Hubert, Frédéric
Department of Geomatic Sciences, Université Laval, Québec, Canada
Creating a 3D Multi-Dataset Bubble in Support of OGC Testbed-19 and Metaverse Standards PrototypesClarke, James Richard Alexander (1);
Smyth, Steve (2);
Smith, Rob (3);
Morley, Jeremy (1)
1: Ordnance Survey, United Kingdom;
2: OpenSitePlan;
3: Away Team
Comparison of point distance calculation methods in point clouds ¿Is the most complex always the most suitable?Diaz, VitaliTU Delft, Netherlands
Reconstructing facade details using MLS point clouds and Bag-of-Words approachFröch, Thomas (1);
Wysocki, Olaf (1);
Hoegner, Ludwig (1,2);
Stilla, Uwe (1)
1: Technical University Munich, Germany;
2: University of Applied Sciences Munich, Germany
Efficient In-Memory Point Cloud Query ProcessingGeißendörfer, Oliver (1);
Anders, Katharina (1,2);
Teuscher, Balthasar (1);
Li, Hao (1);
Holst, Christoph (1);
Werner, Martin (1)
1: Technical University of Munich, Germany;
2: Heidelberg University, Germany
Development of a Geo to BIM converter: CityJSON importer plugin for Autodesk RevitHakim, Amir;
van der Vaart, Jasper;
Ohori, Ken Arroyo;
Stoter, Jantien
TU Delft, Netherlands, The
A framework for generating IndoorGML data from omnidirectional imagesKim, Misun;
Lee, Jeongwon;
Lee, Jiyeong
University of Seoul, Korea, Republic of (South Korea)
Generating 3D Roof Models from ALS Point Clouds using Roof Line TopologiesKong, Gefei;
Fan, Hongchao
Norwegian University of Science and Technology, Norway
3D Data Mapping with Augmented RealityLee, Ming-ChunUniversity of North Carolina at Charlotte, United States of America
Human as Sensors in Urban Digital TwinsLei, Binyu (1);
Su, Yunlei (2);
Biljecki, Filip (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
Investigating Data Fusion from Three Different Point Clouds Datasets by using Iterative Closest Point (ICP) RegistrationMutiarasari, Wahyu Marta;
Abdul Rahman, Alias
3D GIS Research Lab, Department of Geoinformation, Faculty of Built Environment and Surveying, Universiti Teknologi Malaysia, Malaysia
3D Topology Rules Implementation in Spatial DatabaseSalleh, Syahiirah;
Ujang, Uznir;
Azri, Suhaibah
3D GIS Lab, Dept. of Geoinformation, Fac. of Built Environment and Surveying, Universiti Teknologi Malaysia, Malaysia
Transferring façade labels between point clouds with semantic octrees while considering change detectionSchwarz, Sophia Maria (1);
Pilz, Tanja Sophie (1);
Wysocki, Olaf (1);
Hoegner, Ludwig (1,2);
Stilla, Uwe (1)
1: Technical University Munich, Germany;
2: University of Applied Sciences Munich, Germany
Challenges and Steps Toward Implementing 3D Cadastral Database - Physical Data Model of LADMShahidinejad, Javad (1);
Kalantari, Mohsen (2);
Rajabifard, Abbas (1)
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
Classifying point clouds at the facade-level using geometric features and deep learning networksTan, Yue (1);
Wysocki, Olaf (1);
Stilla, Uwe (1);
Hoegner, Ludwig (1,2)
1: Technical University of Munich, Germany;
2: Hochschule München University of Applied Sciences, Germany
IFC georeferencing for OSMTauscher, Helga (1);
Heigener, Dominik (2);
Krishnakumar, Subhashini (2);
Graichen, Thomas (3);
Richter, Julia (3)
1: HTW Dresden, Germany;
2: Bauhaus-Universität Weimar, Germany;
3: Chemnitz University of Technology, Germany
Assessment of the LoD specification for the integration of BIM models in 3D city modelVaart, Jasper van der (1);
Biljecki, Filip (2);
Diakité, Abdoulaye (3);
Ohori, Ken Arroyo (1);
Hakim, Amir (1);
Stoter, Jantien (1)
1: TU Delft, Netherlands, The;
2: National University of Singapore;
3: Independent GIS/BIM expert
Semantic segmentation of buildings using multisource ALS dataWalicka, Agata (1);
Pfeifer, Norbert (2)
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,
MLS2LoD3: Refining low LoDs building models with MLS point clouds to reconstruct semantic LoD3 building modelsWysocki, Olaf (1);
Hoegner, Ludwig (1,2);
Stilla, Uwe (1)
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
Shadowing calculation on urban areas from Semantic 3D City ModelsXu, Longxiang (1);
Leon Sanchez, Camilo Alexander (2);
Agugiaro, Giorgio (2);
Stoter, Jantien (2)
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
Optim3D: Efficient and scalable generation of large-scale 3D building modelsYarroudh, Anass;
Kharroubi, Abderrazzaq;
Billen, Roland
UR SPHERES, Geomatics Unit, University of Liège
MoLi-PoseGAN: Model-based Indoor Relocalization using GAN and Deep Pose Regression from Synthetic LiDAR ScansZhao, Hang;
Tomko, Martin;
Khoshelham, Kourosh
The University of Melbourne, Australia
The date for Camera-Ready paper submission is

We welcome original research contributions that address theoretical, methodological, or application-oriented aspects of 3D/4D geo-information, including but not limited to:

      • 3D/4D (city) modelling and visualization
      • 3D/4D data acquisition, processing, management and integration
      • Geo-information standards and GIS-BIM interoperability / GeoBIM
      • 3D indoor and outdoor navigation
      • Applications of 3D/4D Geoinformation such as simulations and analyses
      • 3D/4D interfaces such as virtual, mixed, and augmented reality
      • 3D/4D geospatial big data and machine learning
      • Smart Cities and 3D/4D Urban Digital Twins

Accepted papers will be published in Springer’s Lecture Notes in Geoinformation and Cartography (LNG&C) series which is indexed by Scopus, Thomson Reuters Conference Proceedings Citation Index (included in ISI Web of Science).

Submissions must be original work that has not been published elsewhere. Any papers that have been previously published, are under review elsewhere, or have been accepted for publication elsewhere will not be considered.

All submissions will be reviewed by members of the international scientific committee through a double-blind review process.

There will be two publication pathways available:

      • Pathway 1: Double blind reviewed full papers (Length: 6000 words) A Full Paper submission for Pathway 1 does not require an abstract submission before hand. Full papers in Pathway 1 will be peer-reviewed and marked accordingly in the conference proceedings.
      • Pathway 2: Articles selected based on double-blind reviewed extended abstracts (Length: 1000-1500 words) Authors whose extended abstracts are accepted will be invited to submit a full paper (length: 3000 – 6000 words) in submission Pathway 2. The full paper in Pathway 2 will not be peer-reviewed. The full paper will be marked “accepted based on double-blind reviewed extended abstract” in the conference proceedings.

At least one author per accepted paper must be registered as participant and present their work in person at the conference. One author can at most present two papers.

Submissions must be prepared according to the templates and technical instructions of Springer’s proceedings series. Please carefully read the corresponding guidelines and prepare your paper accordingly using the macros available in the provided template. This includes the font type and size, spacing, margins, and referencing style. Failure to follow these guidelines may result in rejection of the paper.

Important Dates

Publication Pathway 1 – Full paper submission
Full Paper due (hard deadline)01. May 2023  15. May 2023
Author Notification05. June 2023  19. June 2023
Publication Pathway 2 – Extended abstract submission
Extended Abstract due (hard deadline)15. May 2023  22. May 2023
Author Notification19. June 2023 The author notifications are out.
Publication Pathway 1 & 2
Camera-ready papers 19. July 2023 20. July 2023

Accepted Papers for Presentation at the 18th 3DGeoInfo Conference

Camera-Ready Papers by

Introducing the 3DCityDB-Tools plug-in for QGIS

Agugiaro, Giorgio (1);
Pantelios, Konstantinos (2);
León-Sánchez, Camilo (1);
Yao, Zhihang (3);
Nagel, Claus (3)

1: Delft University of Technology, Netherlands, The;
2: Noria;
3: virtualcitysystems GmbH

Deep Adaptive Network for WiFi-based Indoor Localization

Ahmad, Afnan;
Sohn, Gunho

York University, Canada

Merging BIM, Land Use and 2D Cadastral Maps into a Digital Twin Infrastructure

Andritsou, Dimitra;
Soile, Sofia;
Potsiou, Chryssy

National Technical University of Athens, Greece, Greece

Virtual Reality experience analysis from Point Cloud Data

Aneiros Egido, Diego (1);
Balado Frías, Jesús (1);
Tran, Ha (2);
Díaz Vilariño, Lucía (1)

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

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

Beil, Christof (1);
Ilic, Mario (2);
Keler, Andreas (3);
Kolbe, Thomas H. (1)

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

Integrating dynamic data with 3D city models via CityJSON extension

Boumhidi, Khawla (1);
Nys, Gilles-Antoine (2);
Hajji, Rafika (1)

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

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

Crampen, David;
Hein, Marcel;
Blankenbach, Jörg

RWTH Aachen University, Germany

An Alternative Data Acquisition Approach for Reconstruction of LOD3 Models

Frank, Florian (1);
Hoegner, Ludwig (2);
Buckel, Peter (3);
Dalm, Kris (4)

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

Unsupervised Roofline Extraction from True Orthophotos for LoD2 Building Model Reconstruction

Gao, Weixiao (1);
Peters, Ravi (2);
Stoter, Jantien (1)

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

Visualisation Requirements for Integrated 3D City Models and Sensor Data in Urban Digital Twins

Gitahi, Joseph Mureithi;
Kolbe, Thomas H

Technische Universität München, Germany

Digital Twins: Simulating Robot-Human Sidewalk Interactions

Hassan, Ali (1);
Usman, Muhammad (2);
Kremer, Melissa (3);
Yang, Seungho (4);
Faloutsos, Petros (3);
Sohn*, Gunho (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

sensing heathland vegetation structure from ULS: Comparing sensors and flying heights

Homainejad, Nina (1);
Winiwarter, Lukas (2,3);
Hollaus, Markus (2);
Zlatanova, Sisi (1);
Pfeifer, Norbert (2)

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

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

JEDDOUB*, IMANE (1);
BALLOUCH*, ZOUHAIR (1,2);
HAJJI, RAFIKA (2);
BILLEN, ROLAND (1)

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

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

Knechtel, Julius (1);
Li, Weilian (1);
Orgeig, Yannick (1);
Haunert, Jan-Henrik (1);
Dehbi, Youness (2)

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

Digital geoTwin – Data model for a virtual replica of the City of Vienna

Lehner, Hubert (1);
Kordasch, Sara Lena (1);
Glatz, Charlotte (1);
Agugiaro, Giorgio (2)

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

Matching Change Patterns in Semantic 3D City Models

Nguyen, Son H.;
Kolbe, Thomas H.

Technical University of Munich, Germany

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

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

Lund University, Sweden

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

Powałka, Leon (1);
Poon, Chris (1);
Xia, Yitong (1);
Meines, Siebren (1);
Yan, Lan (1);
Cai, Yuduan (1);
Stravopoulou, Gina (1);
Dukai, Balázs (2);
Ledoux, Hugo (1)

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

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

Rached, Ishraq (1);
Hajji, Rafika (1);
Landes, Tania (2)

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

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

Richter, Rico (1);
Knospe, Frank (2);
Trapp, Matthias (3);
Döllner, Jürgen (3)

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

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

Saeidian, Bahram (1);
Rajabifard, Abbas (1);
Atazadeh, Behnam (1);
Kalantari, Mohsen (2)

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

Visualisation of 3D Uncertainties for Subsurface Infrastructure using Augmented Reality

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

Department of Planning, Aalborg University, Denmark

Enhancing Realism in Urban Simulations: A Mapping Framework for XPlanung and CityGML.

Zahid, Hamza (1);
Hijazi, Ihab (1,2);
Donabauer, Andreas (1);
Kolbe, Thomas H. (1)

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

The 3D Geoinfo journey from 2006 to 2022 – a reflectionAbdul Rahman, AliasUniversiti Teknologi Malaysisa, Malaysia
Supporting teleoperated humanitarian aid missions with 3D visualization using remote sensing dataAngermann, Lucas Dominik;
Halbgewachs, Magdalena Felicitas;
Lechner, Konstanze
German Remote Sensing Data Center (DFD), German Aerospace Center (DLR), 82234 Wessling, Germany
OGC Data Exchange Toolkit: Interoperable and Reusable 3D data at the end of the OGC RainbowAtkinson, Rob;
Noardo, Francesca;
Simonis, Ingo;
Villar, Alejandro;
Zaborowski, Piotr
Open Geospatial Consortium
Topological representation of a 4D cell complex and its dual – feasibility studyBoguslawski, PawelWroclaw University of Environmental and Life Sciences, Poland
Artificial Intelligence for the automated creation of multi-scale digital twins of the built world – AI4TWINNINGBorrmann, André;
Biswanath, Manoj;
Braun, Alex;
Chen, Zhaiyu;
Cremers, Daniel;
Heeramaglore, Medhini;
Hoegner, Ludwig;
Mehranfar, Mansour;
Kolbe, Thomas;
Petzold, Frank;
Rueda, Alejandro;
Solonets, Sergei;
Zhu, Xiao Xiang
Technical University of Munich, Germany
INNOVATIVE DIGITAL TWIN BASED SOLUTION FOR IMPROVING SOLID WASTE MANAGEMENTCardenas, Ivan (1);
Koeva, Mila (1);
Davey, Calayde (2);
Nourian, Pirouz (1)
1: University of Twente, Netherlands, The;
2: University of Pretoria
A Hierarchy of Levels of Detail for 3D Utility Network ModelsChen, Zihan;
Pouliot, Jacynthe;
Hubert, Frédéric
Department of Geomatic Sciences, Université Laval, Québec, Canada
Creating a 3D Multi-Dataset Bubble in Support of OGC Testbed-19 and Metaverse Standards PrototypesClarke, James Richard Alexander (1);
Smyth, Steve (2);
Smith, Rob (3);
Morley, Jeremy (1)
1: Ordnance Survey, United Kingdom;
2: OpenSitePlan;
3: Away Team
Comparison of point distance calculation methods in point clouds ¿Is the most complex always the most suitable?Diaz, VitaliTU Delft, Netherlands
Reconstructing facade details using MLS point clouds and Bag-of-Words approachFröch, Thomas (1);
Wysocki, Olaf (1);
Hoegner, Ludwig (1,2);
Stilla, Uwe (1)
1: Technical University Munich, Germany;
2: University of Applied Sciences Munich, Germany
Efficient In-Memory Point Cloud Query ProcessingGeißendörfer, Oliver (1);
Anders, Katharina (1,2);
Teuscher, Balthasar (1);
Li, Hao (1);
Holst, Christoph (1);
Werner, Martin (1)
1: Technical University of Munich, Germany;
2: Heidelberg University, Germany
Development of a Geo to BIM converter: CityJSON importer plugin for Autodesk RevitHakim, Amir;
van der Vaart, Jasper;
Ohori, Ken Arroyo;
Stoter, Jantien
TU Delft, Netherlands, The
A framework for generating IndoorGML data from omnidirectional imagesKim, Misun;
Lee, Jeongwon;
Lee, Jiyeong
University of Seoul, Korea, Republic of (South Korea)
Generating 3D Roof Models from ALS Point Clouds using Roof Line TopologiesKong, Gefei;
Fan, Hongchao
Norwegian University of Science and Technology, Norway
3D Data Mapping with Augmented RealityLee, Ming-ChunUniversity of North Carolina at Charlotte, United States of America
Human as Sensors in Urban Digital TwinsLei, Binyu (1);
Su, Yunlei (2);
Biljecki, Filip (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
Investigating Data Fusion from Three Different Point Clouds Datasets by using Iterative Closest Point (ICP) RegistrationMutiarasari, Wahyu Marta;
Abdul Rahman, Alias
3D GIS Research Lab, Department of Geoinformation, Faculty of Built Environment and Surveying, Universiti Teknologi Malaysia, Malaysia
3D Topology Rules Implementation in Spatial DatabaseSalleh, Syahiirah;
Ujang, Uznir;
Azri, Suhaibah
3D GIS Lab, Dept. of Geoinformation, Fac. of Built Environment and Surveying, Universiti Teknologi Malaysia, Malaysia
Transferring façade labels between point clouds with semantic octrees while considering change detectionSchwarz, Sophia Maria (1);
Pilz, Tanja Sophie (1);
Wysocki, Olaf (1);
Hoegner, Ludwig (1,2);
Stilla, Uwe (1)
1: Technical University Munich, Germany;
2: University of Applied Sciences Munich, Germany
Challenges and Steps Toward Implementing 3D Cadastral Database – Physical Data Model of LADMShahidinejad, Javad (1);
Kalantari, Mohsen (2);
Rajabifard, Abbas (1)
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
Classifying point clouds at the facade-level using geometric features and deep learning networksTan, Yue (1);
Wysocki, Olaf (1);
Stilla, Uwe (1);
Hoegner, Ludwig (1,2)
1: Technical University of Munich, Germany;
2: Hochschule München University of Applied Sciences, Germany
IFC georeferencing for OSMTauscher, Helga (1);
Heigener, Dominik (2);
Krishnakumar, Subhashini (2);
Graichen, Thomas (3);
Richter, Julia (3)
1: HTW Dresden, Germany;
2: Bauhaus-Universität Weimar, Germany;
3: Chemnitz University of Technology, Germany
Assessment of the LoD specification for the integration of BIM models in 3D city modelVaart, Jasper van der (1);
Biljecki, Filip (2);
Diakité, Abdoulaye (3);
Ohori, Ken Arroyo (1);
Hakim, Amir (1);
Stoter, Jantien (1)
1: TU Delft, Netherlands, The;
2: National University of Singapore;
3: Independent GIS/BIM expert
Semantic segmentation of buildings using multisource ALS dataWalicka, Agata (1);
Pfeifer, Norbert (2)
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,
MLS2LoD3: Refining low LoDs building models with MLS point clouds to reconstruct semantic LoD3 building modelsWysocki, Olaf (1);
Hoegner, Ludwig (1,2);
Stilla, Uwe (1)
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
Shadowing calculation on urban areas from Semantic 3D City ModelsXu, Longxiang (1);
Leon Sanchez, Camilo Alexander (2);
Agugiaro, Giorgio (2);
Stoter, Jantien (2)
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
Optim3D: Efficient and scalable generation of large-scale 3D building modelsYarroudh, Anass;
Kharroubi, Abderrazzaq;
Billen, Roland
UR SPHERES, Geomatics Unit, University of Liège
MoLi-PoseGAN: Model-based Indoor Relocalization using GAN and Deep Pose Regression from Synthetic LiDAR ScansZhao, Hang;
Tomko, Martin;
Khoshelham, Kourosh
The University of Melbourne, Australia

We welcome original research contributions that address theoretical, methodological, or application-oriented aspects of 3D/4D geo-information, including but not limited to:

      • 3D/4D (city) modelling and visualization
      • 3D/4D data acquisition, processing, management and integration
      • Geo-information standards and GIS-BIM interoperability / GeoBIM
      • 3D indoor and outdoor navigation
      • Applications of 3D/4D Geoinformation such as simulations and analyses
      • 3D/4D interfaces such as virtual, mixed, and augmented reality
      • 3D/4D geospatial big data and machine learning
      • Smart Cities and 3D/4D Urban Digital Twins

Accepted papers will be published in Springer’s Lecture Notes in Geoinformation and Cartography (LNG&C) series which is indexed by Scopus, Thomson Reuters Conference Proceedings Citation Index (included in ISI Web of Science).

Submissions must be original work that has not been published elsewhere. Any papers that have been previously published, are under review elsewhere, or have been accepted for publication elsewhere will not be considered.

All submissions will be reviewed by members of the international scientific committee through a double-blind review process.

There will be two publication pathways available:

      • Pathway 1: Double blind reviewed full papers (Length: 6000 words) A Full Paper submission for Pathway 1 does not require an abstract submission before hand. Full papers in Pathway 1 will be peer-reviewed and marked accordingly in the conference proceedings.
      • Pathway 2: Articles selected based on double-blind reviewed extended abstracts (Length: 1000-1500 words) Authors whose extended abstracts are accepted will be invited to submit a full paper (length: 3000 – 6000 words) in submission Pathway 2. The full paper in Pathway 2 will not be peer-reviewed. The full paper will be marked “accepted based on double-blind reviewed extended abstract” in the conference proceedings.

At least one author per accepted paper must be registered as participant and present their work in person at the conference. One author can at most present two papers.

Submissions must be prepared according to the templates and technical instructions of Springer’s proceedings series. Please carefully read the corresponding guidelines and prepare your paper accordingly using the macros available in the provided template. This includes the font type and size, spacing, margins, and referencing style. Failure to follow these guidelines may result in rejection of the paper.

Important Dates

Publication Pathway 1 – Full paper submission
Full Paper due (hard deadline)01. May 2023  15. May 2023
Author Notification05. June 2023  19. June 2023
Publication Pathway 2 – Extended abstract submission
Extended Abstract due (hard deadline)15. May 2023  22. May 2023
Author Notification19. June 2023 The author notifications are out.
Publication Pathway 1 & 2
Camera-ready papers 19. July 2023 20. July 2023