Faculty Advisor

Pahlavan, Kaveh

Faculty Advisor

Radhakrishnan, Pradeep

Abstract

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.

Publisher

Worcester Polytechnic Institute

Date Accepted

April 2019

Major

Mechanical Engineering

Major

Computer Science

Major

Robotics Engineering

Major

Interdisciplinary

Project Type

Major Qualifying Project

Accessibility

Unrestricted

Advisor Department

Electrical and Computer Engineering

Advisor Department

Mechanical Engineering

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