2026-09-18T20:52:15Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/1230292026-06-06T00:56:28Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Hari Balakrishnan.
Jiang, Ziwen,M.EngMassachusetts Institute of Technology.
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
2019-11-22T00:03:11Z
2019-11-22T00:03:11Z
2019
2019
https://hdl.handle.net/1721.1/123029
1127649652
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
71 pages
eng
Massachusetts Institute of Technology
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
Electrical Engineering and Computer Science.
An autonomous landing and charging system for drones
Thesis
application/pdf
2019-11-22T00:03:10Z
Publication
Master
EECS
unknown
unknown
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<Abstract>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.</Abstract>
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