a 2023

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

FILA, Milan; Radim ŠTAMPACH and Benjamin HERFORT

Basic information

Original name

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

Authors

FILA, Milan; Radim ŠTAMPACH and Benjamin HERFORT

Edition

State of the Map Europe 2023, 2023

Other information

Language

English

Type of outcome

Konferenční abstrakta

Country of publisher

Belgium

Confidentiality degree

is not subject to a state or trade secret

References:

URL

Marked to be transferred to RIV

Yes

RIV identification code

RIV/00216224:14310/23:00132395

Organization

Přírodovědecká fakulta – Repository – Repository

DOI

https://doi.org/10.5281/zenodo.10443308

Keywords in English

OpenStreetMap; ohsome; artificial intelligence; humanitarian mapping; Volunteered geographic information
Changed: 11/6/2025 00:50, RNDr. Daniel Jakubík

Abstract

In the original language

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.
Displayed: 4/5/2026 11:12