UAV Forge: Mechanical Imaging System (M.I.S)

Background 

UAV Forge will be competing in the AUVSI-SUAS 2021 competition. This competition is to simulate how package delivery services are looking to deliver packages without the use of operators. The Unmanned Aerial System (UAS )must be able to avoid other UAS’ in flight, map the operating area to identify any hazards, avoid static objects, identify drop locations, drop off the package in a safe location, and move the package to the customer through the use of an Unmanned Ground Vehicle (UGV).

Goal and Objectives

The optical image stabilization capstone project focuses on redesigning and improving the original UAV Forge 2019-2020 static camera mount. The purpose is to increase the Mapping and Object Detection Classification and Localization (ODCL) capabilities through mechanical methods. Two needs that could be satisfied are vibration isolation and field of view expansion.

Link to your documentation

Link to External Team Website

Team Contacts 

M.I.S Capstone: Matthew Padilla (matthp2@uci.edu)

UAV Forge:  Ashutosh Shah (ashutoas@uci.edu)

Sponsor/Advisor

Advisor: Professor Copp (dcopp@uci.edu)

Chief of MAE: Kyle Adamos (kadamos@uci.edu)