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.

Creator

• Karet, Ava Beth
• Madhurkar, Krishna Satyanarayan
• Darnley, Ryan Edward
• Scillitoe, Christian Robert
• Schutzman, Ethan Henry
• McKillip, Dylan Morton
• Curbelo, Mitchell Ronald

Publisher

• Worcester Polytechnic Institute

Identifier

• E-project-042619-120443

Advisor

• Radhakrishnan, Pradeep
• Pahlavan, Kaveh

Year

• 2019

Date created

• 2019-04-26

Resource type

• Major Qualifying Project

Major

• Computer Science
• Mechanical Engineering
• Interdisciplinary
• Robotics Engineering

Rights statement

• In Copyright