IEEE Access (Jan 2024)

A Study on the Advancement of Intelligent Military Drones: Focusing on Reconnaissance Operations

  • Minho Lee,
  • Minwoo Choi,
  • Taehoon Yang,
  • Jingu Kim,
  • Jaeoh Kim,
  • Ojeong Kwon,
  • Namsuk Cho

DOI
https://doi.org/10.1109/ACCESS.2024.3390035
Journal volume & issue
Vol. 12
pp. 55964 – 55975

Abstract

Read online

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.

Keywords