Please use this identifier to cite or link to this item:
http://arks.princeton.edu/ark:/88435/dsp011n79h715k
Title: | Semi-Autonomous Unmanned Aerial Vehicle Payload Delivery System |
Authors: | Ogunlana, Adeniji |
Advisors: | Thompson, Jeffrey |
Department: | Electrical Engineering |
Certificate Program: | Applications of Computing Program Robotics & Intelligent Systems Program |
Class Year: | 2019 |
Abstract: | Unmanned Aerial Vehicles, more commonly referred to as “drones,” are becoming more widely accepted by the general public. This has led to an increase in their usage across all industries and sectors. This thesis attempts to create a semi-autonomous unmanned aerial vehicle payload delivery system for Princeton University students to use on campus. The system encompasses two Android applications. Princeton students have access to the Drone Request Android application, which they can use to request one of two delivery options. The student can request a temporary TigerCard (prox) delivery if they lose access to their key, or the student can request a package from their Frist mailbox be delivered to a courtyard near their current location. Depending on which option the student chooses, they are required to provide identification through the application proving they are the correct recipient. The Frist Packaging Office and the Public Safety Office have access to the Drone Delivery Android application. This application allows for real-time tracking of the drone, access to requested information from each student's request, and control of a DJI Phantom 4 Pro V2.0. |
URI: | http://arks.princeton.edu/ark:/88435/dsp011n79h715k |
Type of Material: | Princeton University Senior Theses |
Language: | en |
Appears in Collections: | Electrical Engineering, 1932-2020 |
Files in This Item:
File | Description | Size | Format | |
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OGUNLANA-ADENIJI-THESIS.pdf | 7.72 MB | Adobe PDF | Request a copy |
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