CAT Vehicle 2021

Rachel Kozel (Purdue University)
Naeemah Robert (New York Institute of Technology)

Previous methods to detect traffic signals were not fully successful as they had limitations in detecting yellow and arrow traffic lights, in long-distance identification of a traffic light from a few pixels, and the obstruction of traffic lights from other infrastructure. This project uses a new method to identify traffic lights and their states in both urban and suburban areas by developing a deep learning model utilizing a You Only Look Once (YOLOv3) model.

Rachel Kozel and Naeemah Robert