Naslov
Humanitarian Demining Using Data Observatories and Data Lakes

Autori
Horvat, Marko ; Krtalić, Andrija ; Akagić, Amila ; Krmpotić, Klara ; Skender, Sven

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
19th International Symposium "Mine Action 2023", Book of Papers / Markt, Katarina - Zagreb : Hrvatski centar za razminiranje - Centar za testiranje, razvoj i obuku (HCR-CTRO), 2023, 31-35

Skup
19th International Symposium "Mine Action 2023"

Mjesto i datum
Vodice, Hrvatska, 03.05.2023. - 05.05.2023

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Nije recenziran

Ključne riječi
data transformation, data observatory, big data, non-technical survey, mine scene analysis, artificial intelligence

Sažetak
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.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo, Interdisciplinarne tehničke znanosti

POVEZANOST RADA