Machine Learning Assisted Driving
Team Members Heading link
- Nathan Afenzer
- Abdullah Alqahtani
- Jonathon Faraone
- David Keleher
- Abraham Weisz
Advisor: Michael Brown, PhD
Sponsor: University of Illinois at Chicago
Project Description Heading link
The project objective is to design a machine learning program which can process real time computer vision inputs to assist in the preparation of vehicle functions and vehicle user reaction. The approach includes the application of computer vision software through the use of a dashboard mounted camera, feeding real time information through a micro computer to apply a Machine Learning algorithm to process and communicate appropriate functions through mediums such as LED communications to the vehicle user or a Heads Up Display (HUD). The desired output of the program is to better inform and assist the operator’s reaction to upcoming road hazards or immediate changes to the external environment, in addition to preparing the vehicle for sudden input functions such as brake charging.
See supporting documentation in the team’s Box drive.