• 전자공학회논문지
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• 제52권3호
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• pp.147-153
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• 2015

본 논문에서는 주차장 환경에서의 차량 사고 감지방법을 제안한다. 제안하는 방법은 차량 검출, 차량 추적, 사고 감지의 3단계로 구성된다. 차량 검출 단계에서는 픽셀 기반의 전경 검출 방법과 모션맵을 이용하여 차량을 검출하고, 차량 추적 단계에서는 검출된 차량 정보를 바탕으로 차량의 이동을 추적한다. 마지막 단계인 차량 사고 감지 단계에서는 차량의 이동 방향에 맞추어 사고 감지 영역을 지정하고 사고 감지 영역에서 발생하는 움직임의 변화량을 분석하여 차량 사고를 감지한다. 실험을 통해 제안하는 방법은 주차장 환경에서 발생하는 차량 사고를 효과적으로 검출함을 보였다.

• 한국컴퓨터정보학회논문지
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• 제19권2호
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• pp.31-37
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• 2014

기존의 허프 변환을 이용한 차량 주행 경로 검출 기법에서는 배경 영상이 복잡하지 않은 차량 주행 영상에서 주행선 이탈 여부를 판별하였다. 하지만 획득된 차량 주행 영상에는 도로의 장애물이나 그림자, 다른 차량 등 주행 경로 인식을 방해하는 요소들이 있으므로 주행 경로 검출에 있어서 매우 큰 장애물로 작용하였다. 이 논문에서는 퍼지 이진화 기법과 캐니 마스크를 적용함으로써 기존에 제안된 허프 변환만을 이용한 주행 경로 검출 기법보다 효과적인 주행 경로 검출 기법을 제안한다. 이 논문에서 제안한 주행 경로 검출 기법의 성능을 평가하기 위하여 20개의 영상을 대상으로 실험한 결과, 주행 경로를 검출하는 데에 더욱 효과적인 것을 확인하였다.

• 한국IT서비스학회지
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• 제22권6호
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• pp.87-102
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• 2023

Existing child car seats do not have a monitoring means for the driver or guardian to effectively recognize the status of whether the seat belt of car seat is fastened and whether the ISOFIX of the car seat is fastened to the inside device of the vehicle. In this paper, we propose a smart car seat system which can monitor in real time, whether the seat belt of a child seated in the car seat is fastened and whether the ISOFIX of the car seat is fastened. The proposed system has been developed with a prototype, in which a Hall sensor, magnet, Bluetooth, and display device are used to detect whether these are fastened and to display the detection results. The prototype system provides the detection results as texts and alarm signal to the display for driver or guardian' smartphone in the car in motion. With functional tests of the prototype system, it was confirmed that the detection functions are properly operated, and the detection results were transmitted to the display device and smartphone via Bluetooth within 0.5 seconds. It is expected that the development system can effectively prevent safety accidents of child car seats.

• 한국식물병리학회:학술대회논문집
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• 한국식물병리학회 2003년도 정기총회 및 추계학술발표회
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• pp.150.2-150
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• 2003

Carnation mottle carmovirus(CarMV) was isolated from Lilium spp. in Korea. This isolate, CarMV, was done bioassay, which plants were Dianthus caryophyllus, Gomphrena globosa, Chenopodium amaranticolor, Dianths chinensis. CarMV was propagated on the leaves of Chenopodium amaranticolor with the crude-sap inoculation method and purified by Mossops method(1976). We produced antiserum against CarMV and analyzed the antiserum specificity with ELISA, Gel diffusion method, and Rapid Immunofilter Paper Assay (RIPA). From these results of the assay, RIPA method was simple and rapid for CarMV detection. We have established successfully the CarMV detection system. CarMV coat protein gene was amplified by RT-PCR with specific primers and sequencing analysis was done.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2008년도 하계종합학술대회
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• pp.715-716
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• 2008

A dead zone prediction system for vehicles are implemented in this paper. To improve performance reliability and stability, we import two method to get a information between car and car, and car and road. One is traffic lane detection method, another is vecle recognition. In this paper, we explain the methods and whole structure about this system except for details.

• 한국멀티미디어학회논문지
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• 제19권2호
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• pp.418-427
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• 2016

A smart parking management requires to track a vehicle in a indoor parking lot and to detect the place where the vehicle is parked. An advanced parking system watches all space of the parking lot with CCTV cameras. We can use these cameras for vehicles tracking and detection. In order to cover a wide area with a camera, a fisheye lens is used. In this case the shape and size of an moving vehicle vary much with distance and angle to the camera. This makes vehicle detection and tracking difficult. In addition to the fisheye lens, the vehicle headlights also makes vehicle detection and tracking difficult. This paper describes a method of realtime vehicle detection and tracking robust to the harsh situation described above. In each image frame, we update the region of a vehicle and estimate the vehicle movement. First we approximate the shape of a car with a quadrangle and estimate the four sides of the car using multiple histograms of oriented gradient. Second we create a template by applying a distance transform to the car region and estimate the motion of the car with a template matching method.

• 한국멀티미디어학회논문지
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• 제16권9호
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• pp.1005-1017
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• 2013

음성구간 검출은 음성과 잡음이 섞인 신호에서 음성구간과 비음성구간을 구분하는 과정으로 음성 향상을 위한 신호처리에서 매우 중요한 과정이다. 지금까지 음성구간 검출에 관한 많은 연구가 있었지만, 낮은 신호 대 잡음비 환경이나 자동차 잡음과 같은 시간에 따른 변화가 심한 잡음환경에서는 좋은 성능을 보이지 못하였다. 본 논문에서는 웨이브렛 밴드 엔트로피 기반의 앙상블 분산과 소프트 문턱치 기법을 이용한 새로운 음성구간 검출 알고리듬을 제안하였다. 제안한 알고리듬의 성능을 비교 평가하기 위하여 자동차 잡음이 있는 다양한 신호 대 잡음비 환경에서 실험을 수행하였으며 실험결과, 제안한 방법의 우수한 성능을 확인할 수 있었다.

• 스마트미디어저널
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• 제2권4호
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• pp.20-26
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• 2013

This paper presents an approach to Mongolian car plate recognition using artificial neural network. Our proposed method consists of two steps: detection and recognition. In detection step, we implement Flood fill algorithm. In recognition step we proceed to segment the plate for each Cyrillic character, and use an Artificial Neural Network (ANN) machine - learning algorithm to recognize the character. We have learned the theory of ANN and implemented it without using any library. A total of 150 vehicles images obtained from community entrance gates have been tested. The recognition algorithm shows an accuracy rate of 89.75%.

• 제어로봇시스템학회논문지
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• 제10권6호
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• pp.501-509
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• 2004

The frequency of car accidents is very high at the intersection. Because of the state of a traffic signal, quarrels happen after accidents. At night many cars run away after causing an accident. In this case, accident analyses have been conducted by investigating evidences such as eyewitness accounts, tire tracks, fragments of the car or collision traces of the car. But these evidences that don't have enough objectivity cause an error in judgment. In the paper, when traffic accidents happen, the traffic accident detection system that stands on the basis of images and sounds detects traffic accidents to acquire abundant evidences. And, this system transmits 10 seconds images to the traffic center through the wired net and stores images to the Smart Media Card. This can be applied to various ways such as accident management, accident DB construction, urgent rescue after awaring the accident, accident detection in tunnel and in inclement weather.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2004년도 추계학술대회 논문집
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• pp.1285-1290
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• 2004

Crossing is the place which train, car and pedestrian adjoin, and the weak place. Also, crash accident between train and large size car is possible to be serious. So, various crossing obstacle detection device was developed, and it contribute to reduce the crossing accident.