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@proceedings{52947,
author = {Fila, Milan and Štampach, Radim},
booktitle = {State of the Map 2022},
keywords = {user testing;artificial intelligence;humanitarian mapping},
language = {eng},
title = {The Use of Artificial Intelligence for Humanitarian Mapping},
url = {https://is.muni.cz/publication/2224423/poster_SOTM.pdf},
year = {2022}
}
TY - CONF
ID - 52947
AU - Fila, Milan - Štampach, Radim
PY - 2022
TI - The Use of Artificial Intelligence for Humanitarian Mapping
KW - user testing;artificial intelligence;humanitarian mapping
UR - https://is.muni.cz/publication/2224423/poster_SOTM.pdf
N2 - There are several crisis areas in the world. These crisis can be caused by natural disasters, epidemics of various diseases, water and food shortages, armed conflicts, changes in political regimes and other causes, to a greater or lesser extent. However, a large part of the sites is not mapped. For quick intervention and timely assistance, areas need to be mapped as accurately and quickly as possible (mostly roads and buildings). Volunteers (mappers) from all over the world, who map over satellite images (Bing, Maxar Premium) under the auspices of the HOT (Humanitarian OpenStreetMap Team) and participate in the mapping. Microsoft is working to streamline and simplify mapping with artificial intelligence (AI), which automatically generates data for buildings (so far tested in several countries), and Facebook, which automatically generates data for travelling around the world. Volunteer mapping cannot be completely replaced by AI data, but it could be facilitated. Our research ques!on is: Could be humanitarian mapping with the mapping tool using AI (RapiD editor) faster while maintaining the same quality? This finding on the usability of data from AI can bring us several user tesngs in various editors (iD editor, RapiD editor, JOSM with AI).
ER -
FILA, Milan and Radim ŠTAMPACH. The Use of Artificial Intelligence for Humanitarian Mapping. In \textit{State of the Map 2022}. 2022.
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