Popular GitHub Repositories for Drone Propeller

open Multiple View Geometry library. Basis for 3D computer vision and Structure from Motion.

Python code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog

Drone Racing @ NeurIPS 2019, built on Microsoft AirSim

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♥

Programmable Engine for Drone Reinforcement Learning Applications

Aerial Object Detection using a Drone with PX4 Autopilot and ROS 2. PX4 SITL and Gazebo Garden used for Simulation. YOLOv8 used for Object Detection.

Autonomous UAV Navigation without Collision using Visual Information in Airsim

OpenKAI: A modern framework for unmanned vehicle and robot control

A ros demo for people detection and tracking on DJI M100 drone

Dataflow system for building self-driving car and robotics applications.

[ICCV 2025] Perspective-Invariant 3D Object Detection

Isaac Drone Racer is a reinforcement learning framework for high speed autonomous drone racing, built on top of IsaacLab

OpenMAS is an open source multi-agent simulator based in Matlab for the simulation of decentralized intelligent systems defined by arbitrary behaviours and dynamics.

This is the repository with the baseline code for the "Small Object Detection Challenge for Spotting Birds" at MVA2023.

A drone control system based on deep reinforcement learning with Tensorflow and ROS

EVDodgeNet: Deep Dynamic Obstacle Dodging with event cameras

?? CVPR 2025 (Nashville TN) - The 4th Anti-UAV Workshop & Challenge ?

A Framework for Zero-Shot Sim2Real Drone Racing

Multi-class semantic segmentation performed on "Semantic Drone Dataset."

YOLO Autonomous Drone - Deep Learning Person Detection: The YOLO Drone localizes and follows people with the help of the YOLO Deep Network