An autonomous landing and charging system for drones
Author(s)
Jiang, Ziwen,M.EngMassachusetts Institute of Technology.
Download1127649652-MIT.pdf (11.95Mb)
Other Contributors
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.
Advisor
Hari Balakrishnan.
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Show full item recordAbstract
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.
Description
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).
Date issued
2019Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer SciencePublisher
Massachusetts Institute of Technology
Keywords
Electrical Engineering and Computer Science.