Kim Heekang, Kwon Soon, Kim Sungho
Department of Electronic Engineering, Yeungnam University, 280, Daehak-ro, Gyeongsan-si, Gyeongsangbuk-do KS011, Korea.
Daegu Gyeongbuk Institute of Science and Technology, 333, Techno jungang-daero, Hyeonpung-myeon, Dalseong-gun, Daegu KS002, Korea.
Sensors (Basel). 2016 Jul 8;16(7):1058. doi: 10.3390/s16071058.
This paper proposes a vehicle light detection method using a hyperspectral camera instead of a Charge-Coupled Device (CCD) or Complementary metal-Oxide-Semiconductor (CMOS) camera for adaptive car headlamp control. To apply Intelligent Headlight Control (IHC), the vehicle headlights need to be detected. Headlights are comprised from a variety of lighting sources, such as Light Emitting Diodes (LEDs), High-intensity discharge (HID), and halogen lamps. In addition, rear lamps are made of LED and halogen lamp. This paper refers to the recent research in IHC. Some problems exist in the detection of headlights, such as erroneous detection of street lights or sign lights and the reflection plate of ego-car from CCD or CMOS images. To solve these problems, this study uses hyperspectral images because they have hundreds of bands and provide more information than a CCD or CMOS camera. Recent methods to detect headlights used the Spectral Angle Mapper (SAM), Spectral Correlation Mapper (SCM), and Euclidean Distance Mapper (EDM). The experimental results highlight the feasibility of the proposed method in three types of lights (LED, HID, and halogen).
本文提出了一种用于自适应汽车前照灯控制的车辆灯光检测方法，该方法使用高光谱相机而非电荷耦合器件（CCD）或互补金属氧化物半导体（CMOS）相机。为了应用智能前照灯控制（IHC），需要检测车辆前照灯。前照灯由多种光源组成，如发光二极管（LED）、高强度气体放电灯（HID）和卤素灯。此外，尾灯由LED和卤素灯制成。本文参考了IHC方面的最新研究。前照灯检测存在一些问题，例如路灯或标志灯的误检测以及来自CCD或CMOS图像的本车反射板。为了解决这些问题，本研究使用高光谱图像，因为它们有数百个波段，并且比CCD或CMOS相机提供更多信息。最近检测前照灯的方法使用了光谱角映射器（SAM）、光谱相关映射器（SCM）和欧几里得距离映射器（EDM）。实验结果突出了所提方法在三种类型灯光（LED、HID和卤素灯）中的可行性。
