APPLICATION OF ARTIFICIAL INTELLIGENCE IN UNMANNED AERIAL VEHICLES: A CONCEPTUAL MODEL FOR ENSURING AUTONOMOUS NAVIGATION, TECHNICAL RELIABILITY, AND SAFETY

Abstract

This article examines how integrating unmanned aircraft systems (UAS) with artificial intelligence (AI) can support navigation, sensor-data analysis, and technical-condition monitoring. Based on an analysis of international guidance and four research methods, it proposes a five-stage conceptual model spanning risk identification to continuous monitoring. The model has not been empirically validated and is intended as a methodological basis for future testing