Energy-Efficient Illumination by Matrix Headlamps for Nighttime Automated Object Detection

Authors

  • Mirko Waldner TU Dortmund University, Institute of Control Theory and Systems Engineering (RST)
  • Nathalie Müller TU Dortmund University, Institute of Control Theory and Systems Engineering (RST)
  • Torsten Bertram TU Dortmund University, Institute of Control Theory and Systems Engineering (RST)

DOI:

https://doi.org/10.53375/ijecer.2022.295

Keywords:

matrix headlight, automated driving, energy optimization, lighting functions

Abstract

The contribution at hand presents a novel approach to generate dynamic energy-optimized illumination by matrix headlamps designed for automated driving. The approach consists of a novel basic minimal illumination adapted to the current road environment with minimum brightness and a light pixel control strategy to adjust the illumination of potential objects uniformly and selectively only. The approach was developed and optimized by considering the impact of other lighting functions such as Glare-Free High Beam and marker light on the quality of object detection and possible alternatives such as symbol projection with structured light. The concept achieves a similar quality of object detection as conventional high beam, but requires only around 16% of the energy. This shows the energy saving potential of automated vehicles in combination with novel headlight control strategies.

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Published

15.09.2022

How to Cite

Waldner, M., Müller, N., & Bertram, T. (2022). Energy-Efficient Illumination by Matrix Headlamps for Nighttime Automated Object Detection. International Journal of Electrical and Computer Engineering Research, 2(3), 8–14. https://doi.org/10.53375/ijecer.2022.295