학술논문

A Study on the Advancement of Intelligent Military Drones: Focusing on Reconnaissance Operations
Document Type
Periodical
Source
IEEE Access Access, IEEE. 12:55964-55975 2024
Subject
Aerospace
Bioengineering
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Engineered Materials, Dielectrics and Plasmas
Engineering Profession
Fields, Waves and Electromagnetics
General Topics for Engineers
Geoscience
Nuclear Engineering
Photonics and Electrooptics
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Drones
Reconnaissance
PI control
PD control
Navigation
Ethics
Task analysis
Military equipment
Reinforcement learning
Object detection
Intelligent military drones
reconnaissance drone
reinforcement learning
autonomy
simulation
object detection
Language
ISSN
2169-3536
Abstract
Drones have become integral in modern warfare, and their evolution towards greater autonomy is inevitable. This study explores the trajectory towards intelligent, minimally human-dependent military drones, detailing the necessary technological advancements. We simulate drone reconnaissance operations to identify and analyze emergent challenges. This study delves into various technologies critical for enhancing drone intelligence, with a focus on reinforcement learning based on object detection, and presents practical implementation examples to illustrate these advancements. Our findings confirm the significant potential for enhancing the intelligence of military drones, paving the way for more autonomous and effective combat solutions.