Drone / Unmanned Aerial Vehicle (UAV) Detection is a very safety critical project. It takes in Infrared (IR) video streams and detects drones in it with high accuracy.
Real Time Drone Detection with YOLOv3, YOLOv3-tiny, YOLOv4, YOLOv4-tiny, YOLOv5x, YOLOv5s, YOLOv6-L, YOLOv6-S, YOLOv7-X, YOLOv7, YOLOv8l and YOLOv8s
This is official repository of our paper "RFUAV: A Benchmark Dataset for Unmanned Aerial Vehicle Detection and Identification". Codes include a two stage model to achieve drone detection and classification using some FFT/STFT analytical method. The Raw data will be free to use after our paper is accept. Star us!!!!, if you think this is useful♥
Marker-less UAV detection project.
Real-Time Detection of Drones with YOLOv3 Deep Learning Algorithm
UAV Object Detection using transfer learning with YOLOv5x
Real-Time Detection of Drones with YOLOv3 Deep Learning Algorithm
Leader-Follower-Based Collaborative Navigation of a UGV-UAV Formation
Thermal image datasets of UAVs taken from UAV
UAV tracking algorithm and PID controller for 2 axis gimbal mechanism
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