Please use this identifier to cite or link to this item:
http://arks.princeton.edu/ark:/88435/dsp01qj72p9766
Title: | Automating Perpetual Quadcopter Flight |
Authors: | Jin, Tony Almeida, James Chavda, Aarav |
Advisors: | Houck, Andrew A. |
Department: | Electrical Engineering |
Class Year: | 2017 |
Abstract: | Quadcopter drones are quickly becoming versatile and crucial tools used for a multitude of tasks ranging from filming to package delivery to search and rescue. However, drones are severely limited by their battery capacity; most popular quadcopters are unable to achieve even 30 minutes of continuous flight time. This is a fundamental limitation in how long a drone can perform tasks without landing and it especially impedes drone use in automated applications. This thesis project attempts to overcome this obstacle by building a battery-swapping base station and programming a DJI Phantom 3 drone to pilot itself and land in the station using computer vision. In the end, this project will demonstrate using a single drone to constantly monitor a defined perimeter with minimal ground time. |
URI: | http://arks.princeton.edu/ark:/88435/dsp01qj72p9766 |
Type of Material: | Princeton University Senior Theses |
Language: | en_US |
Appears in Collections: | Electrical Engineering, 1932-2020 |
Files in This Item:
File | Size | Format | |
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Chavda_Aarav_Almeida_James_Jin_Tony.pdf | 4.2 MB | Adobe PDF | Request a copy |
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