Optimization of Automotive Matrix Headlamp Control for Enhanced Visibility and Glare Reduction Using HILS Validation

This study focuses on optimizing the control system of automotive matrix headlamps to enhance nighttime driver visibility while minimizing glare for other road users, including oncoming drivers and pedestrians. The research emphasizes the importance of precise and responsive high-resolution beam management to improve visibility and road safety. Using a developed simulator, we analyzed the impact of system delays—such as image processing, control processing, and communication delays—on headlamp performance. Strategies for optimizing beam control margins were proposed to maximize visibility and reduce glare, even with system speed constraints. Leveraging advancements in camera technology, the system enables adaptive beam adjustments based on detected objects, enhancing control accuracy. The proposed system’s effectiveness was validated through simulations and will be further tested using Hardware-in-the-Loop Simulation (HILS) for real-world applications.

Authors

Publication Details

Journal
Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
Published
2024-12-31
DOI
https://doi.org/10.5207/jieie.2024.38.6.419
Primary Topic
Impact of Light on Environment and Health
Type
article
Field-Weighted Citation Impact
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article

Optimization of Automotive Matrix Headlamp Control for Enhanced Visibility and Glare Reduction Using HILS Validation

Sang‐Bin Song, Sangyoo Kim, Jae-Young Joo
Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
Impact of Light on Environment and Health
article

Optimization of Automotive Matrix Headlamp Control for Enhanced Visibility and Glare Reduction Using HILS Validation

Sang‐Bin Song, Sangyoo Kim, Jae-Young Joo
article en

Abstract

This study focuses on optimizing the control system of automotive matrix headlamps to enhance nighttime driver visibility while minimizing glare for other road users, including oncoming drivers and pedestrians. The research emphasizes the importance of precise and responsive high-resolution beam management to improve visibility and road safety. Using a developed simulator, we analyzed the impact of system delays—such as image processing, control processing, and communication delays—on headlamp performance. Strategies for optimizing beam control margins were proposed to maximize visibility and reduce glare, even with system speed constraints. Leveraging advancements in camera technology, the system enables adaptive beam adjustments based on detected objects, enhancing control accuracy. The proposed system’s effectiveness was validated through simulations and will be further tested using Hardware-in-the-Loop Simulation (HILS) for real-world applications.

Journal of the Korean Institute of Illuminating and Electrical Installation EngineersVol. 38(6)
Affordable and clean energy
Openalex Percentile: Top 78%
Impact of Light on Environment and Health
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