Headlight Control Using Deep Learning-Based Vehicle Detection

Abstract: Vehicle lights are the best assurance of driving safety when it is dark outside. High beams are frequently turned on by drivers to narrow their field of vision, to make the oncoming car more visible, or even when they are following another vehicle. The lights themselves hinder drivers from checking their rear vision in the rearview mirror and result in traffic collisions. Additionally, failure to maintain a safe distance from oncoming traffic by vehicles frequently results in accidents. This research suggests a deep learning-based image recognition system for the headlamp control system as a solution to this issue. When a driver is operating a car equipped with this system, they can instantly identify the vehicle in front of them and estimate at night the safety distance of the car in front of them to reduce light damage and traffic accidents at safe distances, consider if there are cars in the forward and opposing lanes before deciding whether to turn on the high beam.