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

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

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

Computer vision use cases for autonomous drones.

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

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)

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