Multi-touch through-the-lens drone control
Name
965829205-MIT.pdf
Description
Full printable version
Size
2.3 MB
Format
Adobe PDF
Checksum (MD5)
f747088eb0abb7ee06b15b8856115c88
Author(s)
Gross, Lee, M. Eng. Massachusetts Institute of Technology
Advisor(s)
Fredo Durand.
Date Issued
2016
Publisher
Massachusetts Institute of Technology
Abstract
Drones are often used for aerial photography. The main way people currently control them is using a joystick that controls the pitch, yaw, roll and throttle of the drone. With the joystick, a user has to think not only in terms of the desired image but also how the drone needs to move in order to capture it. We implemented a gestural system that would allow the user to control a drone in a more intuitive manner that abstracts away low-level motor controls. The idea is to allow a user to manipulate the current frame using touch gestures to indicate the intended shot. The four gestures we support are dragging, pinching, two finger rotation and two finger drag. The feedback consists of the live feed from the camera, as well as a preview of the image transformation that was indicated. When the user lifts their fingers, the commands are sent to the drone so it can execute the movements that will result in the desired image. The system works but has some limitations that are imposed by the drones flight-path API. These limitations deal with the path and the heading used during flight. The drone's final view is qualitatively close to the desired image as indicated by the gesture.
Description
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2016.
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (page 53).
Subjects
Electrical Engineering and Computer Science.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
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