• The Journal of Korean Institute of Communications and Information Sciences
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• v.37 no.8A
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• pp.639-647
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• 2012

Vision-based on-road vehicle detection is one of the key techniques in automotive driver assistance systems. However, due to the huge within-class variability in vehicle appearance and environmental changes, it remains a challenging task to develop an accurate and reliable detection system. In general, a vehicle detection system consists of two steps. The candidate locations of vehicles are found in the Hypothesis Generation (HG) step, and the detected locations in the HG step are verified in the Hypothesis Verification (HV) step. Since the final decision is made in the HV step, the HV step is crucial for accurate detection. In this paper, we propose using a reduced multivariate polynomial pattern classifier (RM) for the HV step. Our experimental results show that the RM classifier outperforms the well-known Support Vector Machine (SVM) classifier, particularly in terms of the fast decision speed, which is suitable for real-time implementation.

• The KIPS Transactions:PartC
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• v.17C no.1
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• pp.129-134
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• 2010

Intelligent Power Switch (IPS) is a semiconductor device which contains a logic circuit in itself. It has received significant attention as a switching component to substitute the fuse and relay components in common automobile since the internal logic provides the controllability on the loads. However, a control system for the IPS status control and a network system to share the status information of IPS are required to fully exploit the capabilities of IPS. In this paper, we propose a control circuit and algorithm using IPS. Also the communication system between the control systems and IPS components using Control Area network (CAN) are proposed.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2009.10a
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• pp.135-138
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• 2009

G-Sensor is being used for controlling motion of smart-phone and robot. G-Sensor can control motion to several direction, because it is composed of X, Y, and Z axis and also can be used on many mobile-phone by using Wi-Fi communication and RS-232C communication on the Bluetooth module. In this research, we suggest the application that realize and develop visual-vehicle-remote-control-system by using mobile-phone with G-Sensor so that drivers can more easily remote control and manage their vehicle with mobile-phone in real-time visual.

• Journal of Korean Society of Transportation
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• v.26 no.4
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• pp.251-264
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• 2008

One of the crucial elements to fully facilitate the various benefits of intelligent transportation systems (ITS) is to obtain more reliable traffic monitoring in real time. To date, point and section-based traffic measurements have been available through existing surveillance technologies, such as loops and automatic vehicle identification (AVI) systems. However, seamless and more reliable traffic data are required for more effective traffic information provision and operations. Technology advancements including vehicle tracking and wireless communication enable the acceleration of the availability of individual vehicle travel information. This study presents a UBIquitous PRObe vehicle Surveillance System (UBIPROSS) using vehicle-to-vehicle (V2V) wireless communications. Seamless vehicle travel information, including origin-destination information, speed, travel times, and other data, can be obtained by the proposed UBIPROSS. A set of parameters associated with functional requirements of the UBIPROSS, which include the market penetration rate (MPR) of equipped vehicles, V2V communication range, and travel time update interval, are investigated by a Monte Carlo simulation- (MCS) based evaluation framework. In addition, this paper describes prototypical implementation. Field test results and identified technical issues are also discussed. It is expected that the proposed system would be an invaluable precursor to develop a next-generation traffic surveillance system.

• Proceedings of the KIEE Conference
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• 2007.07a
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• pp.1157-1158
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• 2007

자동차, 항공기, 철도 및 선박 등과 같은 각종 교통수단에 발생하는 이상현상에 대한 사용자의 정확한 복구 조치 능력 향상을 위하여, 발생한 고장코드에 대한 신속하고 정확한 해석은 매우 중요하다. 이에 따라 본 논문에서는 차량의 고장 진단 프로토콜 중 SAE(미국 자동차 기술자 협회) J1979[1]의 방식을 사용하여 차량의 통신방식을 정의 하고 이에 따라 발생되는 ECU 정보들을 수집 분석하여 각각의 고장 코드들을 해석하였고 배기가스뿐만 아니라 차량에서 발생되는 총제적인 문제점들을 GUI(Graphic User Interface) 기반의 응용 프로그램을 이용하여 차량의 단계별, 부품별 고장코드를 실시간으로 발생시킬 수 있는 시뮬레이터를 개발하였다

• Proceedings of the Korea Information Processing Society Conference
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• 2021.05a
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• pp.117-120
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• 2021

지능형 교통 시스템의 주요 인프라 중 하나인 VANET 은 차량과 인프라 간의 통신을 통해 교통을 예측함으로써 도로 상에서의 안전을 보장한다. VANET 은 모든 노드가 네트워크에 가입할 수 있는 개방형 네트워크이기 때문에 개인 정보 보호가 주된 관심사이다. 분산형 신뢰 관리 시스템은 차량 네트워크에서 수신된 메시지가 신뢰할 수 있는 지에 대한 여부를 결정함으로써, 악의적인 공격자로부터 차량을 지킬 수 있다. 분산형 k-익명성 체계와 블록체인을 결합한 신뢰 관리 시스템은 주변 차량들과 협력하여 익명의 은폐 영역을 구축한다. 본 논문에서는 블록체인을 적용한 분산형 신뢰 관리 시스템을 통해 차량의 위치 정보를 보호하는 최근 연구들을 살펴본 뒤에 향후 발전 방향에 대해 논하도록 하겠다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2010.05a
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• pp.836-838
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• 2010

차량의 전자제어장치 및 마이크로컨트롤러의 향상으로 전자제어장비가 증가하였고, 그 장비들 간의 통신 방식이 필요하게 되었다. 통신 및 제어를 위해 중앙 제어 방식에서 분산 제어 방식으로 기술발전을 하고 있었다. 이런 제어 방식으로 CAN(Controller Area Network)통신이 개발되었다. CAN의 통신 모델 중 마스터-슬레이브 모델은 하나의 마스터 노드가 전체 시스템을 동기화하고 스케줄링하는 형태로 본 연구에 사용하였다. 본 논문에서는 CAN통신 기반으로 기울기 측정 시스템을 구현하여 하나의 마스터와 여러개의 슬레이브로 구성하였다. 슬레이브 모듈에서 측정한 데이터가 버스라인을 통해 마스터모듈로 전송 될 때 충돌로 손실이 발생할 수 있다. 본 연구에서는 데이터 손실을 최소화와 여러개의 슬레이브 모듈에서 전송되어진 데이터가 에러가 나지 않도록 하기 위한 전송 프로토콜을 제안한다.

• Journal of Satellite, Information and Communications
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• v.12 no.1
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• pp.125-131
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• 2017

In this paper, an efficient structure of device-to-device (D2D) synchronization preamble is proposed to meet the enhanced time and frequency synchronization requirements for D2D communication. D2D communication can be applied not only for the cellular communications, but also unmaned aerial vehicle communications and vehicle-to vehicle communication. The proposed preamble structure is transmitting signals at every odd subcarriers, and empty the other subcarriers to minimize the effect of inter-carrier interference. According to the simulation results, the proposed preamble structure provides improved time offset estimation performance, without degrading frequency offset estimation performance compared to the current LTE D2D preamble.

• The Journal of the Korea institute of electronic communication sciences
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• v.6 no.6
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• pp.909-914
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• 2011

In these days, according to the enhancement of the mobile communication technologies, location based services using the location and movements are vitalized. In this paper, we develop a private vehicle tracking system for garbage truck operation management using GPS and CDMA communication and Open map interface. The terminal equipment attached in vehicle receives the GPS signals and detect the position data including time, longitude, latitude, and altitude. And the terminal sends these data to the server PC through CDMA cellular network in fixed period. The server saves these data into database to process in map server program with which we can view real-time trace of moving vehicle. We apply our system to public garbage truck managing operation and we can increase operation efficiency by examine real-time working and moving path and by present reasonable operation rout.

• Journal of Korean Society of Transportation
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• v.28 no.4
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• pp.107-118
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• 2010

Wireless communication technologies including vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) enable the development of more sophisticated and effective traffic information systems. This study presents a method to estimate vehicular travel times in a vehicular ad hoc network (VANET) environment. A novel feature of the proposed method is estimating individual vehicle travel times through advanced on-board units in each vehicle, referred to as self-estimated travel time in this study. The method uses travel information including vehicle position and speed at each given time step transmitted through the V2V and V2I communications. Vehicle trajectory data obtained from the VISSIM simulator is used for evaluating the accuracy of estimated travel times. Relevant technical issues for successful field implementation are also discussed.