An autonomous landing and charging system for drones

This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.

Bibliographic Details
Main Author: Jiang, Ziwen,M.EngMassachusetts Institute of Technology.
Other Authors: Hari Balakrishnan.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2019
Subjects:
Online Access:https://hdl.handle.net/1721.1/123029
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author Jiang, Ziwen,M.EngMassachusetts Institute of Technology.
author2 Hari Balakrishnan.
author_facet Hari Balakrishnan.
Jiang, Ziwen,M.EngMassachusetts Institute of Technology.
author_sort Jiang, Ziwen,M.EngMassachusetts Institute of Technology.
collection MIT
description This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
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spelling mit-1721.1/1230292019-11-22T03:00:39Z An autonomous landing and charging system for drones Jiang, Ziwen,M.EngMassachusetts Institute of Technology. Hari Balakrishnan. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Electrical Engineering and Computer Science. This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections. Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2019 Cataloged from student-submitted PDF version of thesis. Includes bibliographical references (pages 69-71). A sensor-equipped consumer-grade drone can help collect data about the world. However, a drone's flight time today is measured in tens of minutes. Charging multiple drones in a network also requires manual assistance. In this thesis, we develop an integrated system with an autonomous charging pad that a drone can accurately land on. At the same time, the charging system allows the drone to land in environments with low visibility, especially during the nighttime. This research combined vision-based marker detection and flight control algorithms to create accurate landing procedures with different camera modules. Two charging platform designs of wireless and wired contact charging were built with the marker. The autonomous charging system enables a drone to land more accurately than the GPS-based navigation and gets charged without human assistance. by Ziwen Jiang. M. Eng. M.Eng. Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science 2019-11-22T00:03:11Z 2019-11-22T00:03:11Z 2019 2019 Thesis https://hdl.handle.net/1721.1/123029 1127649652 eng MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission. http://dspace.mit.edu/handle/1721.1/7582 71 pages application/pdf Massachusetts Institute of Technology
spellingShingle Electrical Engineering and Computer Science.
Jiang, Ziwen,M.EngMassachusetts Institute of Technology.
An autonomous landing and charging system for drones
title An autonomous landing and charging system for drones
title_full An autonomous landing and charging system for drones
title_fullStr An autonomous landing and charging system for drones
title_full_unstemmed An autonomous landing and charging system for drones
title_short An autonomous landing and charging system for drones
title_sort autonomous landing and charging system for drones
topic Electrical Engineering and Computer Science.
url https://hdl.handle.net/1721.1/123029
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