Edge-AI Autonomous Drone Landing Pad Locator using ArUco & YOLO
Downward-facing camera pipeline fusing high-altitude YOLO pad detection with low-altitude ArUco pose estimation for centimeter-level drone landing.
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Project Technical Overview
Solves the critical problem of GPS-denied precision landing for delivery drones. At high altitudes, YOLO identifies landing targets in complex terrains; upon descent, ArUco visual markers provide precise 6-DOF relative pose matrices to guide the flight controller to a smooth landing.
Read the foundational IEEE conference research paper, citations, and algorithmic architecture for this project.