Workshop Description

Following the recent evolutions of cartography, and a successful workshop in 2022 on Computational Cartography and Map Generalisation with Deep Learning, this CartoAI workshop seeks to gather the researchers working on artificial intelligence techniques applied to cartography. For this workshop, contributions on all AI techniques are welcome including, e.g., machine learning, optimization, and multi-agent systems.
The workshop will give the opportunity to the participants to give short presentations of recent and on-going research. It will also include a keynote and time for discussions.


You are invited to submit a 2-page abstract, following the general guidelines of the ICA conference abstracts. The proceedings of the workshop will be published on the website of the ICA commission on map generalisation. Papers should be submitted to EasyChair. The following topics are welcome:

  • Novel machine learning techniques applied to maps or to cartographic data
  • AI techniques for map generalisation
  • AI techniques for map schematization
  • AI techniques for text placement
  • Pattern recognition in maps
  • Cartographic style transfer
  • AI techniques for map vectorization and map label interpretation
  • Use of deep learning in cartography
  • Methods of unsupervised machine learning, including clustering and dimensionality reduction
  • Evaluation of AI techniques and results
  • Review of AI studies in cartography
  • Important Dates

  • Deadline for submission of abstracts: 30 June 2023
  • Notification to authors: 15 July 2023
  • Date of the workshop: 12 September 2023
  • Organizers

  • Yu Feng, Technical University of Munich, Germany (
  • Cheng Fu, University of Zurich, Switzerland (
  • Jan-Henrik Haunert, University of Bonn, Germany (
  • Rachid Oucheikh, Norwegian University of Science and Technology, Norway (
  • Guillaume Touya, IGN, Univ. Gustave Eiffel, France (
  • Zhiyong Zhou, University of Zurich, Switzerland (
  • Program Comittee

    To be announced


    For any further information, please contact Yu Feng and Cheng Fu