W10: Digital Twins and Open Source Empowered HD Maps for Smart Mobility and Autonomy

Workshop Overview

The workshop Digital Twins and Open Source Empowered HD Maps for Smart Mobility and Autonomy is the latest in the series of workshops dedicated to research and developments in the area of Digital Twin and HD maps . It aims to bring together researchers, professionals and users from the academia and industry involved in navigation, mobility and autonomy .

Digital twins are a virtual representation of a physical object. It can incorporate real-time data collected from sensors on the object and enable near real-time simulation of the behavior and monitoring of process. Digital twins allow computers to represent many real-world entities, from a single sensor in a vehicle to full installations, such as roads, vehicles and even urban environments. Digital twin technology allows you to have a better view of the performance of a sensor, identify potential risks, and make better informed planning about facilities. Thus this workshop will address the application of digital twins to navigation and mobility. On the other hand, HD maps provide detailed map information for navigating autonomous vehicles to ensure the navigation safety to protect human lives. The map itself serves as an additional “pseudo sensor” of the car and it significantly enhances the performance and accuracy of perception and positioning algorithms, which are necessary for the vehicle to drive autonomously. Among those available HD formats, certain open source formats including Lanelet 2 and Opendrive have attracted more attention and bring fruitful applications in autonomy world. Therefore, this workshop will also address the contributions of those open source empowered HD Maps and their applications for autonomy.

Papers addressing the following topics are welcomed (but not limited to): HD maps, autonomous driving, 3D data sensing and processing, seamless Indoor/outdoor/underground 3D modelling, autonomous navigation in indoor/outdoor environments, Location-based services in indoor/outdoor environments, indoor/outdoor pedestrian tracking and trajectory prediction, disaster management in indoor/underground environments, indoor/outdoor scene understanding, machine/deep learning for indoor modelling, indoor/outdoor virtual/augmented reality, indoor/outdoor mobility and assistive technologies, etc. This workshop will be part of the ISPRS Geospatial Week 2025 and will be organized by the ISPRS Working Group IV/8 and I/2, in cooperation with ISPRS WG IV/9 .

Workshop Theme

  • Seamless indoor/underground/outdoor 3D modelling and mapping
  • Stationary and dynamic obstacle detection
  • Multisensory fusion for indoor mapping
  • Eye-tracking and body sensors in indoor 3D research
  • Indoor localization and route planning for disaster management
  • Navigation, orientation and accessibility augmentation in indoor environments
  • LBS in indoor environments
  • Innovative LBS systems and applications
  • Aided mobility for disabled/aged people
  • Disaster prevention, analysis and management in indoor/underground environments
  • Smart facility maintenance
  • Spatio-temporal data modelling, analysis of movement traces
  • Indoor location-linked big data
  • SLAM methods in indoor environments
  • Semantic parsing in indoor environments
  • Visualization techniques for LBS in indoor/outdoor seamless environments
  • Indoor virtual/augmented reality
  • Human environment interactions in mobility context
  • Multi-task collaboration for Indoor/outdoor modelling
  • Indoor/outdoor scene understanding
  • Machine/deep learning for indoor/outdoor modelling
  • Mobility and assistive technologies
  • Semantic indoor/underground/outdoor mapping
  • Multimodal mobility for people with specific needs
  • Open source HD maps formats and applications
  • Static HD maps automated production and update
  • Dynamic HD maps automated production and update
  • Conventional and crowd sourcing mapping platforms for HD maps production
  • 3rd party certified low-cost multi-sensor mapping systems for ITS applications
  • Autonomous vehicle navigation with HD point cloud maps
  • Autonomous vehicle navigation with HD vector maps
  • Formats, standards and field practice guidelines
  • Georeferenced 3D spatial information processing for smart road applications
  • Georeferenced 3D spatial information manipulation for connected vehicles
  • Multi-sensor fusion for seamless mapping and navigation applications
  • Simultaneous localization and mapping with LiDAR or cameras
  • Point cloud processing
  • Deep learning for 3D spatial information processing
  • Feature extraction from georeferenced images and point cloud
  • Novel application cases

Workshop Organizers


Prof. Naser El-Sheimy

(WG I/2)
Professor, Geomatics Engineering Schulich School of Engineering, University of Calgary Canada Research Chair - Tier I in Geomatics Multi-sensor Systems Killam Professor Fellow, Canadian Academy of Engineering Fellow, the US Institute of Navigation (ION) Room CCIT 361, 2500 University Dr. NW, T2N 1N4, Calgary

Prof. Dr. Zhizhong Kang

(WG IV/8)
Vice Dean with School of Land Science and Technology China University of Geosciences (Beijing), China

Prof. Kai-Wei Chiang

(WG I/2)
Advisor, Taiwan Space Agency Director (Principal investigator), High Definition Maps Research Center Positioning, Orientation and Integrated Navigation Technologies Lab Department of Geomatics National Cheng Kung University No.1, Ta-Hsueh Road, Tainan 701, Taiwan.


Zhiyong Wang

(WG IV/8)
Asssociate professor in the Department of transportation South China University of Technology, China

Co - Chairs

Mir Abolfazl Mostafavi

(WG IV/8)
Full Professor in the Department of Geomatics at Université Laval, Canada

Ana-Maria Olteanu-Raimond

(WG IV/8)
Co-director of LASTIG Laboratory, University Gustave Eiffel, France

Lucía Díaz Vilariño

(WG IV/9)
University of Vigo, Spain

Scientific Committee

  • Dr. DEV RAJ PAUDYAL, University of Southern Queensland, [email protected], advisor
  • Dr. Berk Anbaroğlu, Geomatics Engineering Dept. of Hacettepe University, advisor
  • Dr. Inger Fabris-Rotelli, University of Pretoria, [email protected], advisor
  • Dr. Gerhard Navratil, Technischen Universität Wien, [email protected], advisor
  • Dr. Victor N. Sunday, University of Port Harcourt,, advisor
  • Dr. Chenglu Wen, Xiamen University, [email protected], connection to WG I/2.
  • Dr. Yiping Chen, Sun Yat-sen University, [email protected], connection to WG I/4.
  • Ville Lehtola, University of Twente, [email protected], connection to ICWG I/IV
  • Prof. Ruofei Zhong, Capital Normal University, [email protected], responsible for contacts with indoor/outdoor LBS
  • Dr. Yongze Song, Curtin University, [email protected], responsible of contacts with mobility.
  • Dr. Shuangfeng Wei, [email protected], Beijing University of Civil Engineering and Architecture, responsible of contacts with 3D indoor navigation network generation
  • Dr. Abdoulaye Diakité, The University of New South Wales, [email protected], responsible of contacts with modelling with IndoorGML
  • Dr. Jianga Shang, China University of Geosciences (Wuhan), National Engineering Research Center for Geographic Information Systems, [email protected], responsible of contacts with indoor localization and indoor/outdoor LBS
  • Dr. Pawel Boguslawski, University of the West of England (UK), [email protected], connection to WG IV/1 and responsible of contacts with path planning for public security and disaster management.
  • Assoc. Umit Isikdag, Mimar Sinan Fine Arts University (Turkey), Editor of International Journal of 3D Information Modeling, [email protected], [email protected], responsible of contacts with building Information modelling to emergency response and disaster management.
  • Prof. Jingbin Liu, Wuhan University, [email protected], responsible of contacts with navigation
  • Dr. Mohsen Kalantari, Geomatics Eng., Melbourne School of Engineering, [email protected], responsible of contacts with standardization.
  • Dr. Juntao Yang, Shandong University of Science and Technology, [email protected], responsible of contacts with indoor/outdoor scene understanding.
  • Dr. Hao Cheng, Leibniz Universität Hannover, [email protected], responsible of contacts with trajectory prediction.
  • Prof. Lei Niu, Lanzhou Jiaotong University, [email protected], responsible of contacts with 3D modelling and analysis
  • Dr. Yingwei Yan, National University of Singapore, [email protected], responsible of contacts with mobility research
  • Bruno Vallet, LASTIG, UNIV GUSTAVE EIFFEL, IGN-ENSG, [email protected], https://www.umrlastig.
  • Laurent Caraffa, The LASTIG lab, [email protected],
  • Grégoire Grzeczkowicz, The LASTIG lab,
  • Florent Geniet, The LASTIG lab, [email protected],
  • Dr. Naser El-Sheimy,
  • Dr. Kai-Wei Chiang,
  • Dr. Charles Toth
  • Dr. Mohamed Elhabiby
  • Dr. Mengchi Ai