• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.16 no.5
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• pp.144-151
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• 2017

In this paper, the antenna for parking management using wireless communication in outdoor parking environment was proposed. The proposed antenna was miniaturized by using parasitic element to reduce the size of the radiating element of the basic ${\lambda}/2$ microstrip antenna. The dimensions of the proposed antenna are $35mm{\times}35mm{\times}20.1mm$ that is 98.7% smaller than $309.1mm(0.46{\lambda}){\times}296.1mm(0.441{\lambda}){\times}20.1mm(0.029{\lambda})$ of the basic ${\lambda}/2$ microstrip antenna. The electrical characteristics of the antenna are 1.1 dBi at the center frequency of 447 MHz, an omni-directional radiation pattern on the E-plane, and $87.5^{\circ}$ of HPBW on the H-plane. The miniaturized ${\lambda}/4$ folded microstrip antenna using parasitic element has proved to be easy to mount on the wireless repeater, the sensor node installed on the ground, and the strop bar in the outdoor parking environment.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.37C no.12
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• pp.1271-1280
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• 2012

In the recent parking assistant systems, finding out the distance to the object behind a car is often performed by the range sensors such as ultrasonic sensors, radars. However, the installation of additional sensors on the used vehicle could be difficult and require extra cost. On the other hand, the motion stereo technique that extracts distance information using only an image sensor was also proposed. However, In the stereo rectification step, the motion stereo requires good features and exacts matching result. In this paper, we propose a fast algorithm that extracts the accurate distance information for the parallel parking situation using the consecutive images that is acquired by a rear-view camera. The proposed algorithm uses the quadrangle transform of the image, the horizontal line integral projection, and the blocking-based correlation measurement. In the experiment with the magna parallel test sequence, the result shows that the line-accurate distance measurement with the image sequence from the rear-view camera is possible.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2008.10a
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• pp.316-319
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• 2008

Most of campus vehicle management systems, so far, have simple functions such as managing vehicle in/out or issuing parking tickets. Recently some of them use RFID tags to count total numbers of cars in the campus, excluding exact parking position management. In this paper we propose a new campus vehicle management system using wireless sensor network location management scheme. This system adopts RSSI based location management method with some performance improvement technique. According to the experimental result, this proposed scheme can be used to implement an effective campus vehicle management system.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.14 no.4
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• pp.999-1004
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• 2010

Most of campus vehicle management systems, so far, simply manages coming in or go out of vehicles, issuing a parking tickets. Recently some of them use RFID tags to count total numbers of cars in the campus, excluding exact parking position management. In this paper we propose a new campus vehicle management system using wireless sensor network location management scheme. This system adopts RSSI based location management method with some performance improvement technique. According to the experimental result, this proposed scheme can be used to implement an effective campus vehicle management system.

• The Journal of the Korea institute of electronic communication sciences
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• v.12 no.6
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• pp.1093-1098
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• 2017

In this study, we designed the system that helps drivers check all information about parking space at the entrance and find out whether the places is available or not, because the system has 'Image recognition function' which can even recognize car number plates exactly. Besides, we place the webcam close to the car number plate, so that car number can be identified more quickly. Finally, since we set the webcam high, the system keeps us from parking wrong places by displaying on the screen.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.17 no.5
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• pp.173-187
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• 2018

This paper proposes a computer vision and deep learning-based technique for surveillance camera system for vehicle counting as one part of parking lot management system. We applied the You Only Look Once version 2 (YOLOv2) detector and come up with a deep convolutional neural network (CNN) based on YOLOv2 with a different architecture and two models. The effectiveness of the proposed architecture is illustrated using a publicly available Udacity's self-driving-car datasets. After training and testing, our proposed architecture with new models is able to obtain 64.30% mean average precision which is a better performance compare to the original architecture (YOLOv2) that achieved only 47.89% mean average precision on the detection of car, truck, and pedestrian.

• 제어로봇시스템학회:학술대회논문집
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• 1996.10a
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• pp.413-416
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• 1996

• 한국전산유체공학회:학술대회논문집
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• 2009.04a
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• pp.208-214
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• 2009

지하 복수층 주차장은 도시의 밀집화 및 자동차의 급격한 증가로 인한 토지부족 및 주차난을 해소할 수 있는 좋은 방법이다. 하지만 인체유해 배출가스의 집중으로 환기의 중요성이 대두되는 추세에도 불구하고 실제로는 시공이 완료 된 후에나 오염도 측정이 가능하다. 이러한 이유로 CFD 시뮬레이션으로 시공이전의 지하 복수층 주차장의 공기오염도를 예측했다. CFD 시뮬레이션은 예산과 시간을 절감한 공기오염도 예측이 가능하다. 실제의 당산근린공원의 지하주차장을 대상으로 오염도를 예측했다. 급기에만 강제유동을 일으키는 2종과 배기에만 강제유동을 일으키는 3종 기계환기법, 그리고 급배기에 강제유동을 일으키는 1종기계환기법을 각각 적용하여 공기오염도를 계산했다. 지하1층과 지하2층의 입구 및 출구유속을 10, 15m/s로 하여 실내평균연령과 실내평균환기효율을 살펴보았다. 계산결과는 급기와 배기에 강제유동을 동시에 일으키는 1종 기계환기법의 값과 비교하였다.

• Proceedings of the KIEE Conference
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• 2006.07d
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• pp.1842-1845
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• 2006

본 논문에서는 차량용 전자제어식 주차 브레이크(Electric Parking Brake, EPB) 시스템 제어에 효과적인 제어기를 논의한다. 이를 위하여 EPB 시스템의 동작 요건과 고유 특성을 고려하여 제어 사양을 정하고 이를 만족시키는 세 가지 제어기(Bang-bang, 선형 P, 비선형 P 제어기)를 제안한다. 또한 제안된 제어기들의 특성 및 성능을 과도응답과 강인성 측면에서 분석하였다. 이를 위해 EPB 시스템을 주파수 영역과 시간 영역에서 모델링하고, 설계된 제어기들의 성능을 모의실험을 통해 비교, 검증한다.

• Journal of information and communication convergence engineering
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• v.13 no.3
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• pp.197-204
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• 2015

In this paper, we present an algorithm for the detection of illegally parked vehicles based on a combination of some image processing algorithms. A digital camera is fixed in the illegal parking region to capture the video frames. An adaptive Gaussian mixture model (GMM) is used for background subtraction in a complex environment to identify the regions of moving objects in our test video. Stationary objects are detected by using the pixel-level features in time sequences. A stationary vehicle is detected by using the local features of the object, and thus, information about illegally parked vehicles is successfully obtained. An automatic alarm system can be utilized according to the different regulations of different illegal parking regions. The results of this study obtained using a test video sequence of a real-time traffic scene show that the proposed method is effective.