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

Mirko Waldner, N. Müller, Torsten Bertram
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引用次数: 3

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.
基于矩阵前照灯的夜间自动目标检测节能照明
本文提出了一种新的方法,通过为自动驾驶设计的矩阵前照灯产生动态的能量优化照明。该方法包括一种适应当前道路环境的具有最小亮度的新型基本最小照度和一种光像素控制策略,该策略均匀地、选择性地调整潜在目标的照度。通过考虑其他照明功能(如无眩光远光灯和标记灯)对物体检测质量的影响以及可能的替代方案(如使用结构光的符号投影),开发和优化了该方法。这个概念实现了与传统远光灯相似的目标检测质量,但只需要大约16%的能量。这显示了自动驾驶汽车结合新型前灯控制策略的节能潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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