Recent Advances for Generative AI-Enabled Unmanned Aerial Vehicle Systems and Applicable Technologies

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Authors: Hyunbum Kim
Cited by: 1
References: 92

Abstract

Unmanned Aerial Vehicles (UAVs) have been key platforms to perform sensing, analytics and automation across intelligent transportation, construction, smart agriculture, logistics and defense. Generative AI (GenAI) accelerates intelligence of UAVs by creating synthetic data, simulating environments and improving learning with restricted data conditions. When integrated with digital twin and AI frameworks, GenAI enables advanced design, modeling, adaptation and making a decision. In this paper, we survey recent advances for generative AI-enabled UAVs systems and applicable scenarios. Then, we categorize four applicable research branches using generative AI-enabled UAVs for intelligent transportation systems, digital twin and smart infrastructure, smart agriculture, last-mile logistics and delivery.

Fields of Study & Subjects

UAV Applications and Optimization Digital Transformation in Industry Organizational and Employee Performance

Publication details

Journal / source
Drones
Publisher
MDPI AG
Volume
10
Issue
4
Pages
292–292
Publication date
16 April 2026
Language
EN