Adaptive Headlight Control for Automotive System Based on Curvature Detection Technique

This paper proposes a Curvature Adaptive Headlight System (CAHS) that dynamically adjusts the vehicle’s headlamp beam based on road curvature, enhancing both visibility and safety while minimizing glare and discomfort for drivers. Road safety is a major concern, especially during nighttime driving on curved roads, where traditional fixed-beam headlights often fail to provide adequate illumination, increasing accident risks. The proposed system utilizes a camera along with OpenCV for real-time lane detection and curvature angle calculation. The computed curvature data is then compared with existing methods, demonstrating improved accuracy. The system is validated through simulations, confirming considerable improvements in visibility and safety on curved roads. This system highlights the potential of camera-based adaptive headlights as a cost-effective and efficient solution for modern vehicles.