This paper proposes a vehicle light detection method using a hyperspectral camera\ninstead of a Charge-Coupled Device (CCD) or Complementary metal-Oxide-Semiconductor (CMOS)\ncamera for adaptive car headlamp control. To apply Intelligent Headlight Control (IHC), the vehicle\nheadlights need to be detected. Headlights are comprised from a variety of lighting sources, such\nas Light Emitting Diodes (LEDs), High-intensity discharge (HID), and halogen lamps. In addition,\nrear lamps are made of LED and halogen lamp. This paper refers to the recent research in IHC. Some\nproblems exist in the detection of headlights, such as erroneous detection of street lights or sign lights\nand the reflection plate of ego-car from CCD or CMOS images. To solve these problems, this study\nuses hyperspectral images because they have hundreds of bands and provide more information than\na CCD or CMOS camera. Recent methods to detect headlights used the Spectral Angle Mapper (SAM),\nSpectral Correlation Mapper (SCM), and Euclidean Distance Mapper (EDM). The experimental results\nhighlight the feasibility of the proposed method in three types of lights (LED, HID, and halogen).
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