Advances in UAV Detection, Classification and Tracking

• Format: eBook
• Language: English
• Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
• Subjects: Energy industries and utilities; History of engineering and technology; Technology: general issues; adaptive cluster; advancement; ant colony optimization; anti-occlusion; astronaut accompanying; astronaut detection; attention mechanism; automatic target recognition (ATR); autonomous navigation; backbone design; blade element theory; classification; classify while scan (CWS); cognitive micro-Doppler radar; convolutional neural network CNN; coordinated thrust control; deep learning; detection response time (DRT); distributed electric propulsion; Doppler resolution; drone; drone detection; drone detection radar; drone recognition; dynamic scenes; elliptical multi-orbit; embedded system; fault-tolerant control; flight mechanical model; flight simulation; gimbal design; global consistency; intravehicular visual navigation; JEM signals; law enforcement; location prediction; micro-Doppler; motion planning; multi-agent system; multi-target association; n/a; object classification; object detection; object positioning; obstacle avoidance; omnidirectional mobile robot; optimization techniques; radar; radar dwell time; semi-structured environment; similar transformation invariance; small-object detection; social learning; stability analysis; target; target tracking; three-dimensional circumnavigation control; tiltrotor; topological sequences; tracking and communication threats; triangular networks; UAV; UAV flight experiment; UAV group; unmanned aerial vehicle; unmanned aerial vehicles; unmanned air traffic management (UTM); visual tracking system; YOLO deep learning
• Online Access: Open Access: DOAB: description of the publication; Open Access: DOAB, download the publication

 "Advances in UAV Detection, Classification and Tracking" is a comprehensive book that explores the latest techniques and advancements in unmanned aerial vehicle (UAV) detection, classification, and tracking. As UAV technology continues to evolve and become more accessible, there is a growing need for effective methods to detect, identify, and track these devices in various scenarios. This reprint provides a thorough overview of the state-of-the-art approaches for UAV detection, classification, and tracking, covering both theoretical and practical aspects.The reprint begins by introducing the basics of UAVs and their various applications, followed by a detailed overview of the challenges associated with UAV detection, classification, and tracking. The authors then present the latest techniques and algorithms used in the field, including machine-learning-based approaches, computer vision techniques, and sensor fusion techniques. The reprint also covers the challenges of real-world applications, such as dealing with occlusions, sensor noise, and environmental factors.With contributions from leading experts in the field, "Advances in UAV Detection, Classification and Tracking" is an essential resource for researchers, engineers, and practitioners working on UAV detection, classification, and tracking. It is also a valuable reference for graduate students and anyone interested in the latest advancements in this rapidly evolving field.