This repository is a part of Cal Poly Pomona's UAV BANSHEE Senior Design Project.
The purpose of the drone landing AI is to automatically detect the presence of ArUcO codes on the ground using an on-board camera which will activate the drone's motors to position the device directly above the code, and land itself autonomously. The software is designed to be a closed loop feedback system and fully autonomous.
The code is open-sourced under the GNUv3 license.
This repository is managed by two Computer Engineering Students: Chris Lai and Paul Thai. All rights reserved.