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Advances in UAV Detection, Classification and Tracking

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distributed electric propulsion; coordinated thrust control; fault-tolerant control; flight simulation; autonomous navigation; gimbal design; obstacle avoidance; target tracking; unmanned aerial vehicles; law enforcement; tiltrotor; blade element theory; flight mechanical model; stability analysis; social learning; ant colony optimization; multi-agent system; visual tracking system; embedded system; drone; omnidirectional mobile robot; multi-target association; topological sequences; triangular networks; global consistency; similar transformation invariance; micro-Doppler; radar; target; classification; unmanned aerial vehicle; motion planning; optimization techniques; attention mechanism; anti-occlusion; location prediction; convolutional neural network CNN; YOLO deep learning; UAV; drone detection; drone recognition; automatic target recognition (ATR); classify while scan (CWS); drone detection radar; detection response time (DRT); unmanned air traffic management (UTM); object detection; deep learning; adaptive cluster; cognitive micro-Doppler radar; Doppler resolution; JEM signals; radar dwell time; advancement; tracking and communication threats; three-dimensional circumnavigation control; elliptical multi-orbit; UAV group; small-object detection; backbone design; object positioning; object classification; UAV flight experiment; astronaut detection; astronaut accompanying; intravehicular visual navigation; semi-structured environment; dynamic scenes; n/a

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