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Hyperspectral Image-Based Night-Time Vehicle Light Detection Using Spectral Normalization and Distance Mapper for Intelligent Headlight Control

Title
Hyperspectral Image-Based Night-Time Vehicle Light Detection Using Spectral Normalization and Distance Mapper for Intelligent Headlight Control
Authors
Kim, HeekangKwon, SoonKim, Sungho
DGIST Authors
Kwon, Soon
Issue Date
2016-07
Citation
Sensors, 16(7)
Type
Article
Article Type
Article
Keywords
CamerasCCD CamerasCharge Coupled DevicesCmos Integrated CircuitsComplementary Metal Oxide SemiconductorsElectric LampsHeadlight DetectionHeadlightsHigh Intensity DischargesHyper-Spectral ImagesHyperspectral ImageIndependent Component AnalysisIntelligent Headlight ControlIntelligent SystemsIntelligent Transportation SystemIntelligent Transportation Systems (ITS)Lamp DetectionsLight-Emitting DiodesLightingMetalsMOS DevicesOxide SemiconductorsRear Lamp DetectionSpectral DistanceSpectral DistancesSpectral NormalizationSpectroscopyVehicle Light DetectionsVehicles
ISSN
1424-8220
Abstract
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.
URI
http://hdl.handle.net/20.500.11750/5096
DOI
10.3390/s16071058
Publisher
MDPI AG
Related Researcher
Files:
Collection:
Convergence Research Center for Future Automotive Technology1. Journal Articles


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