• Journal of the Institute of Convergence Signal Processing
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• v.5 no.3
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• pp.181-189
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• 2004

This paper describes the method for detecting vehicles in the rear and rear-side at night by using headlight features. A headlight is the outstanding feature that can be used to discriminate a vehicle from a dark background. In the segmentation process, a night image is transformed to a binary image that consists of black background and white regions by gray-level thresholding, and noise in the binary image is eliminated by a morphological operation. In the feature extraction process, the geometric features and moment invariant features of a headlight are defined, and they are measured in each segmented region. Regions that are not appropriate to a headlight are filtered by using geometric feature measurement. In region classification, a pair of headlights is detected by using relational features based on the symmetry of a pair of headlights. Experimental results show that this method is very applicable to an approaching vehicle detection system at nighttime.

• Journal of the Korean Society of Manufacturing Process Engineers
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• v.16 no.2
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• pp.142-148
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• 2017

The objective of this study is to investigate the cooling characteristics of a heat sink for an LED headlight used in passenger cars. To this end, this study conducts the experimental and numerical analysis of the heat sink heated at constant heat fluxes without air flow applied. In the experiments, heat was transferred at a constant heat flux through the bottom of a heat sink. The measured temperature on pre-selected locations of the heat sink was in good agreement with the numerically predicted one. The experimental and numerical results indicate that the convective heat transfer coefficient for the natural convection mode was decreased by increasing the heat flux applied to the bottom of heat sink, lowering the cooling capabilities.

• Proceedings of the KSR Conference
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• 2005.11a
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• pp.643-648
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• 2005

Headlight monitoring is one of the new requirement in the modern Metro EMU design. In order to meet this requirement. several kinds methods are already provided in the train. This paper introduces another method. which is designed with the darlington circuit and can switch off/on the headlight with the circuit. Following the conceptual method. the monitoring module was developed and installed in domestic line. Investigation of the concept shall be focused on the more smaller module and expending the module to other part.

• Proceedings of the KIEE Conference
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• 1999.07g
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• pp.3129-3131
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• 1999

The electronic ballast for MHD lamp was studied for automotive headlight application. Its basic principle is the Current Sourcing Push-Pull Resonant Inverter with DC I2Volt input Voltage. By changing the switching frequency according to the lamp state, the automotive requirement of very fast warm-up and the zero voltage switching condition were shown by the simulation of the ballast circuit.

• Journal of Korea Society of Industrial Information Systems
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• v.22 no.2
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• pp.61-70
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• 2017

In This Paper, the Classification Speed of Vehicle Headlight Modules is Improved by a CPU-based Parallel Processing Using OpenMP. Also, a Classification Method of Headlight Modules which Extracts their Features after Revising their Alignment is Proposed. To Analyze the Performance of the Proposed Method, the Discrimination Accuracy and the Processing Speed were Compared with the Method Using Gray Image and the Method Using Line Detection. As the Results of the Analysis, in the Discrimination Accuracy, the Proposed Method and the Line Detection Method Showed good Performance, but the Proposed Method Showed Better Performance than the Line Detection Method by the Processing Speed. Also, the Gray-based Method was the Best in Processing Speed, but the Proposed Method is Better than the Gray-based Method in the Discrimination Accuracy.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.11 no.11
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• pp.2078-2082
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• 2007

Recently, according to traffic accident statistics, traffic accidents occurring at night are as frequent as those during daytime, but their death rate is 1.5 times higher than that of daytime traffic accidents. This problem originates that the insufficient range of vision security of a driver causes the inappropriate accident confrontation. Therefore, in this paper, a microcontroller-based digital control method for the superior performance in headlight system is presented for optimal control that can adapt complex transient state, steady state and various environments. Specially in vehicles# headlight, its fundamental purpose is to implement the artificial headlight system which automatically controls the lighting patterns most adaptive to driving, road and weather conditions. Therefore we aimed at the development of headlight system, focused on the implementation of an artificial vehicle, of more advanced convenience and safety for drivers.

• Journal of Korea Society of Industrial Information Systems
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• v.23 no.1
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• pp.87-96
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• 2018

In this paper, we propose a method to determine whether there is a defect by using the similarity between ROIs (Region of Interest) of the standard image and ROIs of the image which is corrected in position and rotation after capturing the vehicle headlight. The degree of similarity is determined by the template matching based on the histogram of image, which is a some modification of the method provided by OpenCV where template matching is performed on the raw image not the histogram. The proposed method is compared with the basic method of OpenCV for performance analysis. As a result of the analysis, it was found that the proposed method showed better performance than the OpenCV method, showing the accuracy close to 100%.

• 대한공업교육학회지
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• v.38 no.1
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• pp.239-258
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• 2013

The purpose of this study is to define what circuit repairing ability is and to check improvement in learner's circuit repairing abilities by verifying conformity of learner's achievement of target goals that have been derived from headlight assignment based on circuit repairing ability that has been categorized into six sub-factors, which are preparing ability, attaching/detaching ability, circuit analyzing ability, inspecting and measuring ability, repairing (problem solving) ability and organizing ability. In order to achieve the purpose of study, degree of improvement in circuit repairing ability of learner's group was measured through experiment design and verification by group of experts. SPSS statistics program was used for statistical analysis in which average value for descriptive statistics, Cronbach ${\alpha}$ coefficient and t-test were conducted. Level of significance for t-test was p<.05. The conclusions from conducting this study are as follows. Firstly, the usage of terminology 'circuit repairing ability' pertaining to ability to repair failure of electrical devices in automobiles was confirmed to be appropriate. Secondly, the categorization of circuit repairing ability into sub-factors of preparing ability, attaching/detaching ability, circuit analyzing ability, inspecting and measuring ability, repairing (problem solving) ability and organizing ability was confirmed to be appropriate. Thirdly, field instruction on headlight assignment that has been revised according to achievement of learner's goals was confirmed to be effective in improving learner's circuit repairing abilities compared to regular training. Fourthly, field instruction on headlight assignment that has been revised according to achievement of learner's goals was confirmed to be effective in improving sub-factors of circuit repairing abilities, which are preparing ability, attaching/detaching ability, circuit analyzing ability, inspecting and measuring ability, repairing (problem solving) ability and organizing ability.

• Journal of Korea Multimedia Society
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• v.18 no.2
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• pp.138-148
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• 2015

Object detection methods based on background learning are widely used in video surveillance. However, when a car runs with headlights on, these methods are likely to detect the car region and the area illuminated by the headlights as one connected change region. This paper describes a method of separating the car region from the area illuminated by the headlights. First, we detect change regions with a background learning method, and extract blobs, connected components in the detected change region. If a blob is larger than the maximum object size, we extract candidate object regions from the blob by clustering the intensity histogram of the frame difference between the mean of background images and an input image. Finally, we compute the similarity between the mean of background images and the input image within each candidate region and select a candidate region with weak similarity as an object region.

• Proceedings of the KIEE Conference
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• 1998.07f
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• pp.2163-2165
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• 1998

This paper presents an adaptive control scheme of a ballast for HID lamp for an automotive headlight. A flyback converter is used for the voltage step-up and for the control. A full bridge inverter is used as a ballast topology. The proposed control method is an adaptive output power control with a charge control. The developed ballast satisfies the requirement of a fast warm up characteristics and operating stability for an automotive application.