Přehled o publikaci
2023
Global and regional level of use of buildings and roads prepared by AI for OSM mapping
FILA, Milan; Radim ŠTAMPACH and Benjamin HERFORTBasic 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:
Marked to be transferred to RIV
Yes
RIV identification code
RIV/00216224:14310/23:00132395
Organization
Přírodovědecká fakulta – Repository – Repository
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.
