TIB-Net: Drone Detection Network With Tiny Iterative Backbone

This project provides a trained YOLOv8 model for detecting both multirotor and fixed-wing UAVs (drones) in visual data. Includes example usage and documentation.

Një model për ti detektuar dronat nga imazhet, videot dhe regjistrimet në kohë reale duke përdorur YOLOv3 dhe PyTorch.

Drone YOLO Object Detection 📦🛩️ This repository contains a full pipeline for training a YOLOv8 model on custom drone footage data for object detection and line-crossing analysis. The implementation uses the Ultralytics YOLOv8 framework and is tailored for lightweight and fast inference using the YOLOv8 Nano variant.

From dataset https://universe.roboflow.com/drone-detection-pexej/drone-detection-data-set-yolov7/dataset/1 a model is obtained, based on yolov10 to detect drones in images. Predictions from several models are used in cascade to obtain the optimal result.

Drone Project Using Q-Learning : Helping a Drone find a target. Core framework is made to be used with Tello drones, so this algorithm may be compatible with them.

AIegis Beam (formerly known as Mini C-RAM (Counter Rocket, Artillery & Mortar)), the real-time drone detection/tracking system (university capstone project).

A neural network that recognizes flying objects, classifies them and plots their trajectory and the vector of their intended movement.

Development of a hybrid system using YOLOv11 and EKF for drone tracking in inspection scenarios

Drone Detection Project made with Detectron2

This project is a Python-based GPS spoofing detection tool designed to analyze and detect anomalies in GPS data, which is a crucial step toward defending against malicious interference with Unmanned Aerial Systems (UAS). Initially built for dataset-based detection, this tool will evolve into a specialized weapon in the COUNTER-UAS (C-UAS) arsenal