… a method of using a city’s existing monitoring network to … for drone target detection, constructing a recognizable drone, … the drone's flight, searching and downloading drone pictures …
… technologies for rotor UAVs and flying birds in complex scenes and discusses effective detection and recognition methods for the detection of birds and drones, including echo modeling …
… of UAVs and the operating time required to explore the whole area, we propose a single UAV path … the gradient matrix ∇I based on the criteria that we discussed on system models. …
… We use Kinect camera to obtain color and depth information, … use Kinect's microphone array and speech recognition chip to obtain voice information. With speech recognition and sound …
… Cost-effective NLOS detection for privacy invasion attacks by consumer drones[C]. 2019 IEEE/AIAA 38th Digital Avionics Systems Conference (DASC), San Diego, USA, 2019: 1–7. …
… designs a vision-based UAV intrusion detection and automatic tracking and interception system. The HOG+nonlinear SVM scheme is used to identify the UAV, the ViBe moving target …
… numerical instabilities since neither matrix inversions nor gradient … on 3DOF helicopter, 2D UAV and mass-damper models. … successful studies using pilot-induced trajectories for UAVs, …
… for unmanned aerial vehicle (UAV) attitude measurement … matrix and the initial state error covariance matrix, respectively. First, the state vector ˆxk and the state error covariance matrix …
… UAVs (Unmanned aerial vehicles) in the wild. Different from the past literatures directly using … motion parameters are key motion patterns for UAV detection. By building GBDT (Gradient …