Resources to fully understand how autonomous drones work.
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Updated
Mar 11, 2020
Resources to fully understand how autonomous drones work.
Autonomous drone system utilizing image analysis and dynamic movement adjustments for smoke plume tracking and particle sampling : GAIA-drone-control Project
Computer vision use cases for autonomous drones.
This repository contains simulations of drones movement according to ODE model by Agata Lonc, Barbara Domżał, Monika J. Piotrowska.
combat drone swarm command UI for R&D demo
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
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)
Drone C2 sistemleri üzerine araştırma ve güvenlik rehberi; UAV komut kontrol mimarileri ve protokolleri inceleniyor.
Hybrid classical-quantum system for gas leak detection and drone path planning using synthetic GPLA-12 data, classical ML, and quantum-inspired optimization.
Real-time drone AI with instant alignment scoring and multi-agent path finding for safe, adaptive flight.
Prototype drone swarm command UI for ethical combat operations. Features radar visualization, targeting logic, and missile controls. Explore on GitHub! 🛰️💻
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