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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 (203 Czech Republic, guarantor, belonging to the institution), Radim ŠTAMPACH (203 Czech Republic, belonging to the institution) and Benjamin HERFORT (276 Germany)
Other information
Type of outcome
Prezentace na konferencích
Country of publisher
Czech Republic
Confidentiality degree
není předmětem státního či obchodního tajemství
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
V originále
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: 20/10/2024 00:25