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Autonomous Scale Car Using Computer Vision and Neural Networks Public

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This report explores the feasibility of creating an autonomous 1:10 scale car capable of racing against RC cars on any indoor track. Custom made and equipped with a livestream sensor display module, the car leverages Artificial Neural Networks (ANN) to produce optimal driving outputs. Manipulating grayscale pixel input from a single, front-facing camera, the car navigates without the use of mapping or localization. Instead, the car relies on extensive training that allows the vehicle to adapt to variable conditions.

  • 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-042619-120443
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Year
  • 2019
Date created
  • 2019-04-26
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Permanent link to this page: https://digital.wpi.edu/show/4t64gq78m