We present a comprehensive design and implementation for a micro aerial vehicle (MAV) that is able to perform 3D autonomous navigation and obstacle avoidance in cluttered and realistic unknown environments without the aid of GPS and other external sensors or markers.
We provide step to step guide about building a drone with snapdragon platform and present an organized documentation that presents in detail, the platform structure as a whole, from hardware to software architecture, including installation and API related applications.
Develop an autonomous launch, tracking and landing system for an Unmanned Aerial Vehicle (UAV) in GPS-denied environment.
This project was to calibrate the translation and rotation matrices between camera and laser coordinate systems to provide laser points with color information from the image for further applications such as segmentation.
The Unmanned Ground Systems Challenge in October 2016 with the task of wild field task execution, search, and transportation. I worked specifically on the environment map building and localization under GPS signal lost situation.