Student Work

Autonomous Quadrotor Navigation and Guidance

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This project involves the design of a vision-based navigation and guidance system for a quadrotor unmanned aerial vehicle (UAV), to enable the UAV to follow a planned route specified by navigational markers, such as brightly colored squares, on the ground. A commercially available UAV is modified by attaching a camera and an embedded computer called Raspberry Pi. An image processing algorithm is designed using the open-source software library OpenCV to capture streaming video data from the camera and recognize the navigational markers. A guidance algorithm, also executed by the Raspberry Pi, is designed to command with the UAV autopilot to move from the currently recognized marker to the next marker. Laboratory bench tests and flight tests are performed to validate the designs.

  • This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.
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Identifier
  • E-project-032316-184225
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Year
  • 2016
Date created
  • 2016-03-23
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Permanent link to this page: https://digital.wpi.edu/show/9z903152n