Student Work
Autonomous Scale Car Using Computer Vision and Neural Networks
PubblicoContenuto scaricabile
open in viewerThis 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.
- Creator
- Publisher
- Identifier
- E-project-042619-120443
- Advisor
- Year
- 2019
- Date created
- 2019-04-26
- Resource type
- Major
- Rights statement
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Thumbnail | Titolo | Visibilità | Embargo Release Date | Azioni |
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Autonomous_Scale_Car_-_Final_Report.pdf | Pubblico | Scaricare |
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