IEEE Access · 2024 · 36 citations · 37 references
Artificial IntelligenceEngineeringFlying RobotIntelligent SystemsUnmanned VehicleUnmanned SystemUnmanned Ground VehicleDrone IntelligenceSystems EngineeringRobot LearningUnmanned Aerial VehiclesObject DetectionComputer ScienceMilitary DronesAerial RoboticsAerospace EngineeringAutomationIntelligent Military DronesReconnaissance OperationsTechnologyRoboticsAir Vehicle System
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.
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Deep Residual Learning for Image Recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren et al. · 2016 · 214.9K citations · Full text
Image Classification, Deep Neural Networks, Machine Vision +14
Unmanned Aerial Vehicles (UAVs): A Survey on Civil Applications and Key Research Challenges
Hazim Shakhatreh, Ahmad Sawalmeh, Ala Al‐Fuqaha et al. · IEEE Access · 2019 · 2.1K citations · Full text
Alias-Free Generative Adversarial Networks
Tero Karras, Miika Aittala, Samuli Laine et al. · arXiv (Cornell University) · 2021 · 812 citations · Full text