Advanced Headlight System: 3D High Beam

Büthorn, Robert; Tadjine, Hadj Hamma; Auerbach, Bert; Schulze, Karsten

doi:10.1007/978-3-319-00476-1_8

Cited by 2 publications

(4 citation statements)

References 5 publications

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“…Where; A, B, C: Constant coefficients of the equation expressing the curve Our function was expressed by Equation (7). By this, the first derivative and second derivative of the f(y) function were obtained.…”

Section: Detection Of Lane Lines and Curvature Calculationmentioning

confidence: 99%

“…This line was used to measure the radius of curvature, which is important in estimating the steering angles. This curve was expressed by Equation (7).…”

Section: Implementation Of Lane Detection 441 Image Processing Processmentioning

confidence: 99%

“…And this circumstance causes problems for the drivers in the opposite direction. The states of instantaneous blindness as well as attention deficit are able to occur during the change of beams [7][8][9]. At irregular road curves, the drivers are unable to be prepared for the risk they will face.…”

Section: Introductionmentioning

confidence: 99%

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A new approach for camera supported machine learning algorithms based dynamic headlight model's design

YAŞAR>

ŞAHİN>

Akar

2022

International Journal of Automotive Engineering and Technologies

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Traffic accidents continue to be a significant issue in modern society. Accidents usually happen on dark, mountainous, narrow, steep and curved roadways. One of the primary causes of such accidents is the drivers’ weak sight brought on by the headlights of moving vehicles. In this study, a dynamic headlight model was designed using camera supported machine learning algorithms to improve the drivers’ vision during night drive. In this design, the issues of enabling a lighting field supported by image processing programmed with machine learning, dynamic adjustment of the high beam headlights’ LED cells in response to the vehicle approaching from the opposite direction, traffic-sign recognition system, lane-keeping system, and automatic adjustment of headlight angles were addressed. In this direction, a novel dynamic headlight model that will reduce the risk of accidents caused by lighting was presented, and its analyses were performed.

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Section: Detection Of Lane Lines and Curvature Calculationmentioning

confidence: 99%

“…This line was used to measure the radius of curvature, which is important in estimating the steering angles. This curve was expressed by Equation (7).…”

Section: Implementation Of Lane Detection 441 Image Processing Processmentioning

confidence: 99%

See 1 more Smart Citation

A new approach for camera supported machine learning algorithms based dynamic headlight model's design

YAŞAR>

ŞAHİN>

Akar

2022

International Journal of Automotive Engineering and Technologies

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“…The higher rate of vehicle accidents at night than during the day highlights the need for an IHC system [ 2 ]. Another important topic is the improvement of the visibility on the road at night [ 3 ]. Some detection techniques for IHC systems have been used, such radar system [ 4 ], microwave detectors [ 5 ], ultrasonic sensors [ 6 ], and infrared thermal sensors.…”

Section: Introductionmentioning

confidence: 99%

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

Kim

Kwon

Kim

2016

Sensors

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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).

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Advanced Headlight System: 3D High Beam

Cited by 2 publications

References 5 publications

A new approach for camera supported machine learning algorithms based dynamic headlight model's design

A new approach for camera supported machine learning algorithms based dynamic headlight model's design

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

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