Development of a new headlight system via automatic control method with dynamic model for vehicle headlights

The novelty in this study is the design and presentation of the standard headlight technology used in current vehicles with a more sophisticated approach. The current design ensured lighting in the direction of the angle of vision at inclined and curved roads regardless of topography through headlight position control using the flexibility of LEDs in order to create a more secure driving environment under low light conditions, as well as presented compulsory low beam and high beam headlights. In addition, traffic-sign detection technology based on machine learning was integrated into the system in order to eliminate the possibility of non-recognition of the traffic-signs by the driver. The features such as adjustment of the headlight's position to up-down and right-left, vehicle detection, flexibility of the use of low beam as well as high beam without discomforting the driver approaching from the opposite direction, traffic-sign recognition and displaying of it on the driver information display eliminated many factors that may cause accidents. Moreover, the models formed through machine learning for the night-time vehicle detection and traffic-sign recognition functions directly increased the system's accuracy rate.