• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2016.11a
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• pp.169-171
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• 2016

본 논문에서는 일반 자연 영상에서 주로 적용되어 왔던 안개 제거 기법을 기반으로 하여 악천후 상황의 도로 주행 영상을 개선하는 방법을 제안한다. 악천후 상황이란 안개가 있거나 비, 눈이 오는 상황을 의미한다. 도로를 주행하는 환경에서는 비나 눈이 오는 경우에도 안개가 있는 상황과 비슷하기 때문에 안개 제거 기법을 기반으로 하여 악천후 환경의 영상을 개선한다. 우선 최신의 안개 제거 기법 중 하나인 non-local prior 기반의 기법을 도로 주행 영상에 적용 하였을 경우 문제점이 발생하게 되는데 그에 대한 원인을 분석한다. 그리고 이러한 문제점을 해결하기 위하여 예상된 전달량을 보정한다. 모의 실험을 통해 제안하는 방법을 적용하여 도로 주행 영상에서 발생한 문제점을 완화하고 악천후 상황이 개선된 결과를 얻었다.

• 한국ITS학회:학술대회논문집
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• 2002.11a
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• pp.169-172
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• 2002

차량검출에 관한 연구는 교통량 관측을 위해서 가장 기본적이고 필수적인 요소이다. 영상을 기반으로 한 교통 정보 시스템은 다른 방식을 이용하는 시스템들과 비교했을 때 여러가지 두드러진 장점을 가지고 있다. 하지만 일반적인 영상기반 시스템에서는 기상상태에 관해서 민감하게 반응하지 못하는 단점이 있다. 악천후가 발생하는 환경에서 영상의 노이즈는 차량의 교통정보 추출에 있어서 심각한 성능의 저하를 야기할 수 있다. 본 논문에서는 차량검출과 함께 기상 상태에 대해 영향을 덜 받는 향상된 차량정보 추출 방식을 제안 하였다. 제안된 방법은 에지를 기반으로 추출된 차량영상으로부터 비나 눈으로 인한 악천후 때문에 생긴 영상 잡음을 제거 하는 방식으로 기존의 방식에 비해 차량검출 정확도의 오류가 감소되었다. 본 논문에서 제안한 robust 한 차량검출 방법을 기반으로 하여 차량추적, 차량계수, 차종분류, 그리고 속도측정을 수행하여 각 도로의 부하르 나타내는 데 사용되는 차량 흐름과 관련되 여러 가지 교통 정보들을 추출하는데 응용될 수 있다.

• Convergence Security Journal
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• v.23 no.2
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• pp.85-94
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• 2023

In the face of the serious security situation with the increasing threat from North Korea, Korean Army is pursuing a reduction in troops through the performance improvement project of the GOP science-based border security system, which utilizes advanced technology. In order for the GOP science-based border security system to be an effective alternative to the decrease in military resources due to the population decline, it must guarantee a high detection and identification rate and minimize troop intervention by dramatically improving the false detection rate. Recently introduced in Korean Army, the GOP science-based border security system is known to ensure a relatively high detection and identification rate in good weather conditions, but its performance in harsh weather conditions such as rain and fog is somewhat lacking. As an alternative to overcoming this, a radar-based border security system that can detect objects even in bad weather has been proposed. This paper proves the effectiveness of the AI-based scientific border security system based on radar that is being currently tested at the 00th Division through the 2021 Rapid Acquisition Program, and suggests the direction of development for the GOP scientific border security system.

• 한국도로학회:학술대회논문집
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• 2004.10a
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• pp.429-434
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• 2004

• Aerospace Industry
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• s.93
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• pp.40-41
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• 2006

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2003.06a
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• pp.1533-1536
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• 2003

Dynamic model of the rubber-tired AGT light rail vehicle. various load and boundary conditions between vehicle and infrastructures(running track. guidance rail) were defined to analyze vehicular dynamic behaviors occurred by inclement weather(strong wind and earthquake). The dynamic analysis were performed by using a commercialized software RecurDyn. whose results for the magnitudes of wind and earthquake showed the resultant forces and accelerations between car body and bogie, or bogie guidance frame and infrastructures in the various track conditions(straight or curved tracks) and train velocities. Based on these results, speed limitation of tile vehicle were proposed to ensure system stability and passengers safety.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2009.10a
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• pp.127-128
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• 2009

대형 유조선에서 기인된 1995년 Sea Prince호 및 2007년 Hebei Spirit호 사고 등 대다수의 재난적 유류유출사고는 많은 변수 중 "악천후"라는 기상적 어려움으로 초동방제활동 및 피해규모의 축소가 어려운 실정이다. 하지만, 정작 사고선박에서는 방제활동 주도기관의 개업이 있기 전까지 적극적인 방제활동이 이뤄지지 못하고 있는 실정이다. 사고선박에서 유출되는 유류의 확산범위 및 이동방향에 대한 정보는 추후에 예정된 방제활동에 있어서 가장 중요한 요소 중 하나이다. 이 중요한 정보의 획득을 위해 사고선박에서 설치가 가능하며, 이후 방제활동에 중요한 유출유의 확산 정보를 제공할 수 있는 유류확산 추적부이 (NOST-Buoy)의 개발연구가 필요하다.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.15 no.6
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• pp.138-149
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• 2016

The study reviewed the effects of the variable speed limit under adverse weather conditions by using a driving simulator. The study assumed that the display of the reduced speed limit without any change of the weather condition and the display of the same speed limit under the change of the weather conditions violate the expectancy of drivers, so it brings the negative effects on the safety. The study regards drivers conformance as the index of the degree of the compliance of driver expectancy, and utilizes the cumulative probability density within the certain range of the speed including displayed speed limit as the quantitative measure of effectiveness. The study reviewed this assumptions by using a driving simulator. As the results, the cases assumed to violate the expectancy of drivers showed the negative effects on the driving behaviour of driver relatively.

• Journal of Korea Multimedia Society
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• v.17 no.2
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• pp.143-151
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• 2014

In images degraded by bad weather, edges representing object boundaries become weak and faint. In this paper we present an image enhancement method, which increases image visibility by making edges as clear as possible. First, we choose edge candidate regions by finding local maxima and minima in an image intensity field, and then build a histogram using image intensities of pixels located at the two sides of candidate edges. Second, we decompose this histogram into multiple modes, which are determined by local minima in the histogram. Once modes are computed, we find modes connected by edges in the image intensity field and build link chains of connected modes. Finally we choose the longest link chain of modes and make the distances between every connected modes as large as possible. The darkest mode and the brightest mode should be within the image intensity range. This stretch makes edges clear and increases image visibility. Experiments show that the proposed method real-time enhances images degraded by bad weather as good as well known time-consuming methods.

• Journal of Korean Society of Transportation
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• v.31 no.6
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• pp.3-11
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• 2013

Under the consumption of bad weather situation affects traffic flows, the study scope is focused on highway capacity and speed variations among other highway traffic flow characteristic changes according to snowfall density. Thus, this study carried out through the data collection and statistical analysis by focusing on capacity and speed changes. Traffic volume, speed and density were selected as factors to explain the property change of a traffic flow for analysis, and 7 basic sections such as 3 highways in Gyeonggi-do and 4 highways near the meteorological observatory were selected as survey points for data collection. Snowfall levels were classified into 3 steps(Light, Medium, Heavy Snow) to analyze the capacity change by snowfall levels. As a result of analysis, the change of capacity depending on snowfall levels decreased 13.2% in case of light snow compared to a good weather, 18.6% in case of medium snow and 32.0% in case of heavy snow, so the capacity reduction rate increased as the snowfall level increased. The worsening weather appeared to have a very big possibility to act as a factor to reduce the operational efficiency of a road, so a road design and operation method considering this should be presented in the future.