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Choi, Youjun,Han, Sang Ik,Kong, Seung-Hyun,Ko, Hyunwoo IEEE 2016 IEEE signal processing magazine Vol.33 No.6
<P>Automobiles provide a convenient form of transportation, and the number of automobiles in the world has been increasing rapidly, from 193 million in 1970 to more than 796 million in recent years [1]. However, automobiles have created a number of serious problems, such as accidents, traffic congestion, and air pollution, among which traffic accidents are one of the most serious and urgent problems threatening the safety of automobile users. The U.S. Department of Transportation National Highway Traffic Safety Administration found that traffic accidents are mostly caused by drivers' inattention, high-speed driving, drunken driving, misperception, decision errors, and driver incapacitation (e.g., falling asleep or having a heart attack while driving). Among these causes, drunken driving and driver incapacitation account for about 25% of total traffic accidents [2]. In 2014, the American Automobile Association Foundation for Traffic Safety in the United States reported that an average of 328,000 traffic accidents annually involve a drowsy driver [3]. In Europe, 20-25% of total traffic accidents were due to drowsy drivers [4]: In France in 2011, there were 3,970 fatal accidents on the road, in which 732 cases occurred on straight roads; 85% of these accidents were due to drowsy drivers [4]. In Germany, 25% of all fatal road traffic accidents were caused by drowsy drivers [4]. From 2006 to 2010, in Finland, 17% of fatal motor vehicle accidents were related to fatigued drivers; they were responsible for 18% of deaths on the road [4]. Driver status monitoring (DSM) systems have emerged as an innovative technology to prevent traffic accidents from driver incapacitation. In recent developments of DSM systems, medical technologies used for patient diagnosis, including those utilizing electrocardiogram (ECG) and photoplethysmogram (PPG), are considered for the acquisition of driver's physiological signals, which is an effective approach that should be given a special attention.</P>
The Autonomous Platoon Driving System of the On Line Electric Vehicle
Youjun Choi,Daejun Kang,Sunjong Lee,Youngmin Kim 제어로봇시스템학회 2009 제어로봇시스템학회 국제학술대회 논문집 Vol.2009 No.8
Since the reare traffic and environment problem in the downtown center, we suggestan autonomous platoon driving system based on infra structure to solve these problem. This paper considers three parts:1) Sensing electric magnetic field on the power supply line that is installed under the road to supply power to the electric vehicle wirelessly and controling steering motor and driving motor soft he electric vehicle for the auto nomous driving. 2) Laying RFID tag sunder the power supply line and estimating the position of the electric vehicle based on it. 3) Calculating a distance between electric vehicles based on each vehicle’s position information which is acquired from the vehicle to vehicle communiation and controlling the velocity of the electric vehicle to maintain the distance between the electric vehicles. Developed the autonomous platoon driving system is set on electric vehicles and is confirmed through analytical and experimental performance evalution.
서동현(Donghyun Seo),최유준(Youjun Choi),김범진(Beomjin Kim) 한국자동차공학회 2017 한국자동차공학회 부문종합 학술대회 Vol.2017 No.5
In this paper, we developed a precise driving system of a vehicle by using a magnet for precise driving of a vehicle and a Hall Effect Sensor IC of low price. First, using the Gauss meter, the magnetic field by the magnet was measured, the characteristics of the magnetic field was confirmed, and the arrangement method of the sensor was decided. For the performance test, we constructed a test environment in the Testbed and the road, attached the sensor module developed to the vehicle and confirmed that it is possible to driving with high accuracy through the test.
이순종(Sunjong Lee),최유준(Youjun Choi),김성일(Sungil Kim),금복희(Bokhee Keum),서동관(DongKwan Seo) 대한전기학회 2009 정보 및 제어 심포지엄 논문집 Vol.2009 No.10
급전선 기반 자율주행 기술은 온라인 전기자동차(On-Line Electric Vehicle. OLEV)가 급전선으로부터 무선으로 공급받는 우선 전력공급의 효율을 극대화함과 동시에 급전선으로부터 발생된 자계패턴을 인식하여 저가의 센서 시스템을 이용하여 온라인 전기자동차의 자율주행을 가능하게 한다. 급전도로에서의 자계 패턴은 급전선이 구축된 형태에 따라 결정된다. 따라서 다수의 자계센서를 통하여 온라인 전기자동차가 주행 중인 급전도로의 자계 신호를 센싱하고, 이률 이용한 급전선 기반 자율주행기술 개발을 위한 자계센서시스템을 제안한다.
서동현(Donghyun Seo),최유준(Youjun Choi),김범진(Beomjin Kim),신희성(Heesung Shin) 한국자동차공학회 2018 한국자동차공학회 부문종합 학술대회 Vol.2018 No.6
In this paper, we developed a sensor module using the characteristics of an MR sensor and developed a system capable of precise parking using magnets. First, using the Gauss meter, the magnetic field by the magnet was measured, the characteristics of the magnetic field was confirmed, and the arrangement method of the sensor was decided. For the performance test, we constructed a test environment in the Testbed and the road, attached the sensor module developed to the vehicle and confirmed that it is possible to parking with high accuracy through the test.
금복희(Bokhee Keum),김성일(Sung Il Kim),서동관(Dong-Kwan Seo),이순종(Sun Jong Lee),최유준(Youjun Choi) 대한전기학회 2009 정보 및 제어 심포지엄 논문집 Vol.2009 No.10
온라인 전기자동차 플랫폼은 온라인 전기자동차 전장품의 동력 효율을 증대시키기 위하여 전장품을 중앙집중 형태로 관리하고 제어하는 기능을 제공한다. 플랫폼은 하드웨어와 소프트웨어로 구성되며 하드웨어는 전장품을 탈부착할 수 있는 포트와 함께, 연결된 전장품의 동력경로를 가변적으로 설정할 수 있는 스위치 블록을 제공한다. 플랫폼의 소프트웨어는 플랫폼 하드웨어에 부착되는 전장품을 지동으로 인식하고 설정하는 자동인식, 플랫폼 하드웨어 제어, 플랫폼에 부착된 전장품의 상태 모니터링 기능을 제공한다.
온라인 전기자동차를 위한 하드웨어 플랫폼 시스템 개발에 관한 연구
서동관(DongKwan Seo),김성일(SungIl Kim),금복희(Bokhee Keum),이순종(Sunjong Lee),최유준(Youjun Choi),김진규(Jinkyu Kim) 대한전기학회 2009 정보 및 제어 심포지엄 논문집 Vol.2009 No.10
본 논문은 종래에 연구 개발이 진행중인 하이프리드, 플러그인(Plug-in), 연료전지(Fuel cell) 선기차량이 갖는 제한적 구동전력 공급을 극복할 수 있는 신개념 전력공급 시스템을 갖는 온라인 전기자동차와 전력제어 시스템을 기술하고 각 전력장치 간 CAN 통신 기반의 전력제어 시스템 Layout 및 구현에 대해 논한다.