Humanitarian Demining Using Data Observatories and Data Lakes (CROSBI ID 735716)
Prilog sa skupa u zborniku | izvorni znanstveni rad
Podaci o odgovornosti
Horvat, Marko ; Krtalić, Andrija ; Akagić, Amila ; Krmpotić, Klara ; Skender, Sven
engleski
Humanitarian Demining Using Data Observatories and Data Lakes
Humanitarian demining is an indispensable part of any post-conflict reconstruction and rehabilitation efforts, as landmines and other unexploded ordnance (UXO) continue to pose a significant threat to civilians and infrastructure. Traditional non- technical survey demining methods are typically time-consuming, labor-intensive, and require professional familiarity with a number of different complex tools and involved procedures. The emergence of the latest artificial intelligence (AI) technologies for deep learning (DL) and data analysis techniques presents an opportunity to transform humanitarian demining by significantly improving its efficiency, speed, accuracy, and safety. One such approach is the development of a data observatory that implements data ingestion pipelines into a data lake using data transformation to improve the usability of unstructured data about a mine scene. This paper addresses the key characteristics and benefits of such a system and its potential to improve humanitarian demining.
data transformation, data observatory, big data, non-technical survey, mine scene analysis, artificial intelligence
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Podaci o prilogu
31-35.
2023.
objavljeno
Podaci o matičnoj publikaciji
19th International Symposium "Mine Action 2023", Book of Papers
Markt, Katarina
Zagreb: Hrvatski centar za razminiranje - Centar za testiranje, razvoj i obuku (HCR-CTRO)
1849-3718
Podaci o skupu
19th International Symposium "Mine Action 2023"
predavanje
03.05.2023-05.05.2023
Vodice, Hrvatska