Publication details

Global and regional level of use of buildings and roads prepared by AI for OSM mapping

Authors

FILA Milan HERFORT Benjamin ŠTAMPACH Radim HERFORT Benjamin

Year of publication 2023
Type Appeared in Conference without Proceedings
MU Faculty or unit

Faculty of Science

Citation
Attached files
Description Despite the hard work of volunteers, OpenStreetMap is still poorly mapped in many parts of the world. Using AI-assisted tools was seen as one possibility to fill data gaps. We search the actual level of AI-assisted mapping, show the overall global level and highlight differences between countries and regions and their temporal evolution. In 2021-2023, a minimum of 5.6% of buildings and 0.8% of principal roads newly created in OSM came from AI-assisted mapping workflow.

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