• Electronics and Telecommunications Trends
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• v.22 no.5
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• pp.35-45
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• 2007

전방감지용 밀리미터파 레이더는 밀리미터파를 이용하여 자동차 등에 부착하여 송신파와 수신파 사이의 도플러 주파수 편이를 이용하여 선행차량 또는 전방의 장애물과의 거리와 상대속도를 판별하는 장치로서 적응형 순항제어 시스템(adaptive cruise control system) 등에 이용되는 핵심 기술이다. 적응형 순항제어 시스템이란 레이더 센서를 통하여 전방 선행 차량, 장애물의 속도 및 거리를 측정하여 차량의 충돌 경고, 주행 상황에 따른 자동적인 감속 및 가속, 정속 등 안전주행을 가능하도록 하는 기술이다. 본 기술 동향 분석보고서는 전방감지용 레이더 센서에 관한 기술 동향을 살펴보기 위하여 미국, EU, 일본, 한국의 전방감지용 레이더 센서에 관한 특허를 1991년부터 2005년까지의 특허출원을 중심으로 연도별 추이와 국가별 특허출원 동향, 출원인별 특허출원 동향 등을 분석하여 전방감지용 레이더의 세계 기술 추이에 대하여 알아보았다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.16 no.8
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• pp.1693-1700
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• 2012

Recently, the warning system to aid drivers for safe driving is being developed. The system estimates the distance between the driver's car and the car before it and informs him of safety distance. In this paper, we designed and implemented the collision warning system which detects the car in front on the actual road situation and measures the distance between the cars in order to detect the risk situation for collision and inform the driver of the risk of collision. First of all, using the forward-looking camera, it extracts the interest area corresponding to the road and the cars from the image photographed from the road. From the interest area, it extracts the object of the car in front through the analysis on the critical value of the shadow of the car in front and then alerts the driver about the risk of collision by calculating the distance from the car in front. Based on the results of detecting driving cars and measuring the distance between cars, the collision warning system was designed and realized. According to the result of applying it in the actual road situation and testing it, it showed very high accuracy; thus, it has been verified that it can cope with safe driving.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.7
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• pp.962-970
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• 2021

The cause of the majority of vehicle accidents is a safety issue due to the driver's inattention, such as drowsy driving. A forward collision warning system (FCWS) can significantly reduce the number and severity of accidents by detecting the risk of collision with vehicles in front and providing an advanced warning signal to the driver. This paper describes a low power embedded system based FCWS for safety. The algorithm computes time to collision (TTC) through detection, tracking, distance calculation for the vehicle ahead and current vehicle speed information with a single camera. Additionally, in order to operate in real time even in a low-performance embedded system, an optimization technique in the program with high and low levels will be introduced. The system has been tested through the driving video of the vehicle in the embedded system. As a result of using the optimization technique, the execution time was about 170 times faster than that when using the previous non-optimized process.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.16 no.12
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• pp.2665-2674
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• 2012

This paper propose the method to recognize the lanes and distance between cars in real-time which detects dangerous situations and helps safe driving in the actual road environment. First of all, it extracts the area of interest corresponding to roads and cars from the road image photographed by using the forward-looking camera. Through the hough transform for the area of interest, this study detects linear components and also selects the lane and conducts filtering by calculating probability. And through the shadow threshold analysis of the cars in front within the area of interest, it extracts the objects of cars in front and calculates the distance from cars in front. According to the result of applying the suggested technology to recognize the lane and distance between cars to the road situation for testing, it showed over 95% recognition rate; thus, it has been proved that it can respond to safe driving.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.14 no.1
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• pp.81-88
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• 2003

For driver's convenience, the ACC(Adaptive Cruise Control) requires a system which determines the direction of vehicles and controls the vehicle to keep the distance among the automobiles constant. This paper describes the microstrip array antennas designed to operate at 24 GHz, and used as a direction indicator of moving vehicles. 8${\times}$2 transmit array antenna with wide beamwidth, 8${\times}$4 receive center array antenna, and two 8${\times}$8 receive array antennas with narrow beamwidth were designed and fabricated. Measurement results for the arrays showed that the azimuthal beamwidth is 50$^{\circ}$and the gain is 16.7 dBi for the transmit array antenna. For the receive array antenna, the center, the left, and the right array antenna have beamwidths of 20$^{\circ}$, 13$^{\circ}$, 13$^{\circ}$respectively, and have gains of more than 20 dBi. The left and right array antenna have the beam tilt angle of ${\pm}$18$^{\circ}$. The measured radiation patterns showed a good agreement with the simulated patterns, and the designed array antennas are suitable fur detecting 3 directions of the vehicle within the scan angle area.

• Journal of the korean Society of Automotive Engineers
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• v.18 no.5
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• pp.1-9
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• 1996

에어백 관련기술은 차체 충돌특성 평가, 승객거동분석, 좌석벨트/조향축/에어백의 조화설계 등을 포함하는 시스템 엔지니어링 기술과 충돌감지센서, 가스발생기, 모듈 등을 포함하는 주요 기능 부품의 설계 및 제조기술로 구분된다. 이 중 시스템 엔지니어링 기술은 국내의 완성차 업계의 노력에 의하여 선진국의 수준에 근접하고 있으나 부품의 설계 및 제조기술은 매우 취약한 상황이다. 80년대 후반부터 각국의 에어백 관련 특허 출원 건수가 급증하고 있으며 새로운 기능의 부품들이 속속 개발되고 있다. 에어백 기술의 발전방향은 소형화, 경량화, 저렴화로 요약된다. 차량의 전방 충돌에 대비한 에어백이 주종을 이루고 있으나 측면 충돌에 대비한 side bag, 뒷자석 승객을 보호하기 위한 rear bag 등이 개발되고 있고 최근에는 버스 등 대형차량이나 모터사이클 등에도 에어백을 부착하기 위한 연구가 추진되고 있다. 에어백은 충돌센서(crash sensor), 가스발생장치(inflator), 공기주머니(bag), 덮개(cover), 배선(wire harness) 등으로 구성된다. 이들 중에서 공기주머니, 덮개, 가스발생장치를 결합한 부분 조립품을 모듈(module)이라고 부르고 있다. 이하에서는 에어백을 구성하는 주요 기능부품들의 종류, 특성과 기술개발 동향을 알아보기로 한다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2018.07a
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• pp.287-288
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• 2018

본 과제는 자율주행의 이론적 개념을 이해하고 다양한 기술적 내용을 구현해 보기 위한 프로토타입형의 과제이다. 전방의 감지기를 통해 장애물을 감지, 예기치 못한 상황에서의 긴급정지도 가능하게 하였고 차선검출을 위한 openCV를 적용하여 영상처리를 하였다. 이를 통하여 차량의 회로 설계와 방향을 제어하고 차량의 속도, 정지능력을 구현하였다. 향후, 영상처리를 통한 신경망 학습 및 고성능 감지기를 적용하여 사실성 있는 운송 장치를 개발하고자 한다.

• Journal of the Institute of Electronics and Information Engineers
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• v.52 no.11
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• pp.87-104
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• 2015

Currently the IoT (Internet of Things) environments and related technologies are being developed rapidly through the networks for connecting many intelligent objects. The IoT is providing artificial intelligent services combined with context recognition based knowledge and communication methods between human and objects and objects to objects. With the help of IoT technology, many research works are being developed using the C-ITS (Cooperative Intelligent Transport System) which uses road infrastructure and traveling vehicles as traffic control infrastructures and resources for improving and increasing driver's convenience and safety through two way communication such as bus-only lane and license plate recognition and road accidents, works ahead reports, which are eventually for advancing traffic effectiveness. In this paper, a system for deciding whether the traveling vehicle is possible or not to drive on bus-only lane in highway is researched using the lane and number plate recognition on the road in C-ITS traffic infrastructure environments. The number plates of vehicles on the straight ahead and sides are identified after the location of bus-only lane is discovered through the lane recognition method. Research results and experimental outcomes are presented which are supposed to be used by traffic management infrastructure and controlling system in future.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.20 no.2
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• pp.43-57
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• 2021

The Forward Collision Warning, a representative technology of the Advanced Driver Assistance Systems, was selected as the target technology. The cognitive response time, deceleration, and impact were selected as the measures of effectiveness. And the amount of change with and without the Forward Collision Warning was measured. The experimental scenarios included a sudden stop event (1) of the vehicle in front of the driver and an event (2) in which the vehicle intervened in the next lane. All experiments were divided into day and night. As a result of the analysis, response time and the deceleration rate decreased when the forward collision warning system was installed. It was analyzed that the driver's risk situation could be detected quickly and the number of front-end collisions could be reduced as a result. Reflecting the driver's operating habits and diversifying the experimental scenarios will increase the installation effectiveness of ADAS and be used to estimate the effectiveness of other technologies.

• The Journal of the Korea institute of electronic communication sciences
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• v.13 no.2
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• pp.313-320
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• 2018

The importance of sensors on a self-driving vehicle has rising since it act as eyes for the vehicle. Lidar sensors based on laser technology tend to yield better image quality with more laser channels, thus, it has higher detection accuracy for obstacles, pedistrians, terrain, and other vechicles. However, incorporating more laser channels results higher unit price more than ten times, and this is a major drawback for using high channel lidar sensors on a vehicle for actual consumer market. To come up with this drawback, we propose a method of integrating multiple low channel, low cost lidar sensors acting as one high channel sensor. The result uses four 16 channels lidar sensors with small form factor acting as one bulky 64 channels sensor, which in turn, improves vehicles cosmetic aspects and helps widespread of using the lidar technology for the market.