Open source software for autonomous drones.

hardware and software design of the 250mm autonomous drone

GAAS is an open-source program designed for fully autonomous VTOL(a.k.a flying cars) and drones. GAAS stands for Generalized Autonomy Aviation System.

A drone engineered to autonomously seek out, hack, and wirelessly take full control over any other Parrot or 3DR drones within wireless or flying distance, creating an army of zombie drones under your control.

State of the art autonomous navigation scripts using Ai, Computer Vision, Lidar and GPS to control an arducopter based quad copter.

An Open-source Strong Baseline for SE(3) Planning in Autonomous Drone Racing

This repo contains the code of the paper "Learned Inertial Odometry for Autonomous Drone Racing", RA-L 2023.

Repository for the tum_ardrone ROS package, implementing autonomous flight with PTAM-based visual navigation for the Parrot AR.Drone.

Pilot the AR.Drone 2.0 directly from your browser. Extend the application with plugins to add features such as video recording, autonomous flight, face recognition, and more.

Resources to fully understand how autonomous drones work. This is manually curated, pre-chatgpt.

This repository intends to enable autonomous drone delivery with the Intel Aero RTF drone and PX4 autopilot. The code can be executed both on the real drone or simulated on a PC using Gazebo. Its core is a robot operating system (ROS) node, which communicates with the PX4 autopilot through mavros. It uses SVO 2.0 for visual odometry, WhyCon for visual marker localization and Ewok for trajectoy planning with collision avoidance.

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

Neural Autonomous Navigation Observer is a set of very small DNNs for drones to detect a few simple objects

Provides key building blocks to create autonomous flight applications with the #nodecopter (AR.Drone).

This repository enables fully autonomous drone flight based on Mid360. It incorporates an odometry reference from Fast-LIO2 and a planning module reference from Ego-Planner.

The jankest autonomous drone ever built and programmed from scratch

Langostino - An open-source autonomous drone platform using ROS2 and AI-powered flight control. A complete reference implementation for building, understanding, and extending real-world drone autonomy.

基于ROS的无人机等机器人的完备操作功能包，包括无人机自主导航避障、路径规划、航迹追踪、视觉SLAM、激光SLAM等，更多功能持续建设中.... The complete operation function package of ROS-based drones and other robots, including autonomous navigation and obstacle avoidance of drones, path planning, track tracking, visual SLAM, laser SLAM, etc., and more functions continue to be built...

Simulation environment for multiagent drone systems using Ardupilot, ROS 2, and Gazebo enabling users to spawn and control multiple drones, configure sensors, and test autonomous behaviors in a reproducible and extensible setup.

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

An autonomous drone to follow a person, using the OAK-D Lite and MAVLink

Curated resources for autonomous drone racing: AI Grand Prix, A2RL, RL tutorials Resources, tools, and starter code for autonomous drone racing competitions including the Anduril AI Grand Prix, AlphaPilot, A2RL, and NeurIPS Game of Drones. Covers simulation environments, reinforcement learning, computer vision, and trajectory planning.

ROS2 Off-board drone control with a companion computer and PX4 over DDS (serial). Autonomous drone with path planning.

Modern instance segmentation for DJI Tello drones with YOLOv8/Detectron2. Real-time performance, modular design, autonomous tracking.

Autonomous Drone for Object Tracking

LSY Autonomous Drone Racing Challenge

DJI Tello drone autonomously scans the area, finds the exit, and navigates between the rooms in a closed area or a house.

Experiments with Deep Reinforcement Learning on autonomous vehicles (car and uav drone) in AirSim Simulator

Multi-agent reinforcement learning for autonomous navigation for mapping and multi-objective drone swarm exploration

Long-Term Planning with Deep Reinforcement Learning on Autonomous Drones