Promising areas of integration of artificial intelligence technologies in unmanned aerial vehicles

Artem Kasianchuk; Halyna Lastivka

doi:10.1117/12.3008983

5 January 2024 Promising areas of integration of artificial intelligence technologies in unmanned aerial vehicles

Artem Kasianchuk, Halyna Lastivka

Proceedings Volume 12938, Sixteenth International Conference on Correlation Optics; 1293807 (2024) https://doi.org/10.1117/12.3008983
Event: International Conference Correlation Optics (COR 2023), 2023, Chernivtsi, Ukraine

Abstract

One of the newest stages in the improvement of unmanned aerial vehicles (UAVs) is the integration of such systems with artificial intelligence (AI), which, in turn, is not a novelty, but provides such systems with a further level of practical application. Having conducted a meta-analysis of the results of previous studies and available information on this topic, it was found that in the modern period, in addition to successful practical implementations of the integration of artificial intelligence with UAVs, there is already a certain classification of such processes according to the principles of optimal improvement of UAV capabilities and by areas of society. In addition to the publicly available and well-known information about the successful use of drones in the military and logistics sectors of human activity, UAVs successfully perform tasks in such sectors as agriculture, engineering, search, etc. The purpose of the article is to analyze, research, review and systematize existing information on the positive effectiveness and feasibility of using the principles, approaches and integration of unmanned aerial vehicles with AI technologies to improve the efficiency of solving the tasks of detecting landmines and minefields, which is a major humanitarian problem for civil society located in the territory where military conflicts are currently taking place or in the territories where military clashes or conflicts have occurred in the past.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Artem Kasianchuk and Halyna Lastivka "Promising areas of integration of artificial intelligence technologies in unmanned aerial vehicles", Proc. SPIE 12938, Sixteenth International Conference on Correlation Optics, 1293807 (5 January 2024); https://doi.org/10.1117/12.3008983

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
5 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Land mines

Unmanned aerial vehicles

Artificial intelligence

Evolutionary algorithms

Machine learning

Metals

Data modeling

Show All Keywords

Keywords/Phrases

Search In:

Publication Years