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

Real-time monocular depth estimation for DJI Tello drone collision avoidance. Modern TF2.x implementation with webcam support, comprehensive tests, and autonomous navigation. PyDNet-based with MiDaS support.

Autonomous UAV navigation system featuring real-time 2.5D occupancy-grid mapping, A* global path planning, and depth + LiDAR sensor fusion for dynamic obstacle avoidance in complex urban environments. Fully integrated with ROS 2, PX4 Offboard control, and Gazebo simulation for high-fidelity testing and deployment.

Real time drone AI for safe and adaptive flight. Multi agent reinforcement learning with Proximal Policy Optimization ("PPO") for path finding and coordination, served on a FastAPI backend with weight loading at startup, test isolation, and Docker deployment to bridge research into production

🛸 Navigate urban environments with this autonomous UAV system using real-time occupancy grid mapping and dynamic obstacle avoidance for safe and efficient flights.

Autonomous drone system utilizing image analysis and dynamic movement adjustments for smoke plume tracking and particle sampling : GAIA-drone-control Project

This repository contains simulations of drones movement according to Autonomous Drone Model.

Computer vision use cases for autonomous drones.

Drone C2 sistemleri üzerine araştırma ve güvenlik rehberi; UAV komut kontrol mimarileri ve protokolleri inceleniyor.

combat drone swarm command UI for R&D demo

This repository contains code associated with Real-Time Neuromorphic Navigation: Integrating Event-Based Vision and Physics-Driven Planning on a Parrot Bebop2 Quadrotor (ICRA@40)

Autonomous kinetic interceptor swarm. 50Hz hard-real-time logic, UKF state estimation, and BFT sensor fusion. Inverting the air defense cost-curve.

Real-time drone AI with instant alignment scoring and multi-agent path finding for safe, adaptive flight.

Hybrid classical-quantum system for gas leak detection and drone path planning using synthetic GPLA-12 data, classical ML, and quantum-inspired optimization.

Autonomous drone simulation for plant disease mitigation using CNN-based perception (prototype), PPO-based decision planning, and A path planning with energy-aware execution.

Marketing and product site for the ResQ autonomous drone disaster-response platform, built with Next.js 15, Tailwind CSS, and Bun.