Driving at night poses a serious risk due to the momentary blindness brought on by oncoming traffic’s headlights. Traditional headlight designs impair vision temporarily, which increases the risk of accidents. Manual headlight settings and inadequate lighting make the issue worse. An in-depth review of the various sensors-based headlight control systems used by various automaker firms has been conducted. This study discusses a system for detecting vehicles that makes use of a camera and a regression-based machine-learning model. Using a grid formation technique on video that the on-board camera has processed, the position of the approaching vehicle is determined. A signal is then sent to a reflector system that has been specially designed to enable precise beam control with the help of a control unit made up of several electronic components, such as an Arduino UNO, a relay, and a battery. The proposed technology can increase nighttime driving safety by eliminating the Troxler effect on drivers of opposing vehicles while retaining adequate road illumination for the driver on-board.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Design and implementation of an adaptive headlight system model for enhanced night-time driving safety


    Contributors:


    Publication date :

    2024-11-01




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




    Headlight hints for night driving

    Engineering Index Backfile | 1928



    Adaptive headlight system

    SPERO YECHEZKAL EVAN | European Patent Office | 2021

    Free access

    ADAPTIVE HEADLIGHT SYSTEM

    SPERO YECHEZKAL EVAN | European Patent Office | 2021

    Free access

    ADAPTIVE HEADLIGHT

    FERBAS PETR / STIHEL VACLAV | European Patent Office | 2024

    Free access