Autonomous Self-Driving RC Car
Presenter(s)
Kenneth Bester, Garrett M O'Grady
Files
Description
With the age of automation coming to machines, self driving cars will turn from a fantasy to a reality in the next decade. These machines will utilize neural networks to learn from pilot drives to ultimately be able to drive completely autonomously on any road they are put on. This project demonstrates a small fraction of the technology that goes behind a self driving car with an implementation on a 1/16th scale RC car. Using the open source software ‘Donkey Car’ we were able to turn an RC car into a self driving car that get more intelligent every time it drives. Mounted above the car is a 3D printed roll cage which houses a fisheye lense camera (for image recognition) raspberry PI 3 Model B (for the neural networks) and a Servo Controller(to control the throttle and steering). As a demonstration during the presentation, the car will drive simultaneously around a track avoiding obstacles, following street laws and remaining between the lines of the road.
Publication Date
4-18-2018
Project Designation
Capstone Project
Primary Advisor
Rusty Olen Baldwin
Primary Advisor's Department
Computer Science
Keywords
Stander Symposium project
Recommended Citation
"Autonomous Self-Driving RC Car" (2018). Stander Symposium Projects. 1414.
https://ecommons.udayton.edu/stander_posters/1414
