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Hyperspectral Image-Based Night-Time Vehicle Light Detection Using Spectral Normalization and Distance Mapper for Intelligent Headlight Control
- Hyperspectral Image-Based Night-Time Vehicle Light Detection Using Spectral Normalization and Distance Mapper for Intelligent Headlight Control
- Kim, Heekang; Kwon, Soon; Kim, Sungho
- DGIST Authors
- Kwon, Soon
- Issue Date
- Sensors, 16(7)
- Article Type
- Cameras; CCD Cameras; Charge Coupled Devices; Cmos Integrated Circuits; Complementary Metal Oxide Semiconductors; Electric Lamps; Headlight Detection; Headlights; High Intensity Discharges; Hyper-Spectral Images; Hyperspectral Image; Independent Component Analysis; Intelligent Headlight Control; Intelligent Systems; Intelligent Transportation System; Intelligent Transportation Systems (ITS); Lamp Detections; Light-Emitting Diodes; Lighting; Metals; MOS Devices; Oxide Semiconductors; Rear Lamp Detection; Spectral Distance; Spectral Distances; Spectral Normalization; Spectroscopy; Vehicle Light Detections; Vehicles
- 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). © 2016 by the authors; licensee MDPI, Basel, Switzerland.
- MDPI AG
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- Convergence Research Center for Future Automotive Technology1. Journal Articles
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