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.

Autonomous drone simulation with LQR controller, trajectory planning, obstacle avoidance features in ROS2 and Python

An autonomous drone and sensor based surveillance system that use a Tello Drone, an Arduino, a Raspberry Pi and an Android smartphone.

Master's thesis about autonomous navigation of a drone in indoor environments carried out to obtain the degree of Master of Science in Computer Science Engineering (University of Liège, academic year 2020-2021).

Simulation ROS package for an autonomous delivery drone

Autonomous drone using detected ball to command the direction of the drone

A smart autonomous drone with Object Tracking and Object Detection capabilities

This is the repo for group project autonomous drone of team 3 in TUM course introduction to ROS in summer semester 2022.

An autonomous drone simulation using PX4, MAVROS, ROS, and YOLOv8. The drone detects vehicles, tracks them in 3D, and executes a kamikaze-style intercept simulated inside Gazebo Classic. Powered by PX4 SITL, YOLO, and custom ROS nodes.

Our implementation of an Autonomous delivery drone system. This project was created under the aegis of E-Yantra robotics competition and uses ROS and Gazebo simulator with various environments to test.

Autonomous Drone

Autonomous control of multirotor with PX4 and Ardupilot using ROS (Robot Operating System)

General schematic and MATLAB files for automated drone flights and simulation.

Precision Landing implmented in AirSim with python and openCV, window identification neural network in dron using tensorflow

Learn drone autonomy from simulation to real flight: ROS2 Humble, ArduPilot SITL, Gazebo Harmonic, MAVROS, Raspberry Pi companion computer. Step-by-step beginner tutorials, hardware-verified.

A GUI-based drone control application written in Python using the Tkinter library. This application allows users to control a drone, manage its waypoints, and visualize its position on a grid. The application is designed to work seamlessly with the UGCS SDK.

Monitor endangered wildlife and assess potential threats using autonomous drones

A 3D autonomous drone simulation with AI-powered flight capabilities using deep reinforcement learning. Features realistic physics, LiDAR obstacle detection, and a neural network that learns to navigate complex environments through both reinforcement learning and imitation learning from human demonstrations.

Fire detection & precision landing drones with DroneKit, YOLOv4, OpenCV and ROS