• 한국ITS학회 논문지
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• 제18권6호
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• pp.262-274
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• 2019

본 연구에서는 영동 고속도로 용인IC ~ 양지IC 구간을 대상으로 미시교통시뮬레이션 모형인 VISSIM을 이용하여 고속도로 교통정보 취득을 위한 프루브 차량 최소 비율을 추정하고자 한다. 실험을 위하여 일반상황과 유고상황을 고려한 7,200 가지의 시나리오를 생성하였다. 하지만, 모든 시나리오를 실험을 통해 수행하기에는 어려움이 있어 라틴 하이퍼큐브 샘플링(Latin Hypercube sampling) 방법을 사용하여 40 가지의 시나리오를 채택하였다. 이를 통해 얻은 개별차량의 1초당 데이터를 얻어 프루브 차량 비율을 세분화하여 평균통행시간 분포를 통계적으로 비교 분석 해본 결과 일반 상황에서는 고속도로 교통정보 취득을 위한 프루브 차량의 최소 비율이 1%였고 유고상황에서는 45%로 산정되었다. 또한 시나리오 분석 결과 25%의 프루브 차량 정보를 가지고 유고상황 시나리오 교통상황 중 70%를 충족시킬 수 있는 것으로 확인되었다.

• International Journal of Contents
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• 제7권4호
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• pp.19-23
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• 2011

This paper proposes a segmentation method for overlapped vehicles based on analysis of the vehicle location and the spatiotemporal association information. This method can be used in an intelligent transport system. In the proposed method, occlusion is detected by analyzing the association information based on a vehicle's location in continuous images, and occlusion segmentation is carried out by using the vehicle information prior to occlusion. In addition, the size variations of the vehicle to which association tracking is applied can be anticipated by learning the variations according to the overlapped vehicles' movements. To assess the performance of the suggested method, image data collected from CCTVs recording traffic information is used, and average success rate of occlusion segmentation is 96.9%.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제2권2호
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• pp.100-108
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• 2002

A fuzzy logic for collision avoiding navigation of marine vehicles is proposed in this paper. VFF(Virtual Force Field) method, which is used widely in the field of mobile robots, is modifiel to apply to marine vehicles. The method is named MVFF (Modified Virtual Force Field) mothod. The MVFF consists of the determination of the heading angles far track-keeping mode ($\psi_{ca}$)and collision avoidance mode ($\psi_{ca}$). The operator can choose the pattern of the track-keeping mode in the proposed algorithm. The collision avoidance algorithm can handle static and/or moving obstacles. These functons are implemented using fuzzy logic. Various simulation results verify the proposed alogorithm.

• 전기학회논문지
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• 제62권8호
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• pp.1157-1162
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• 2013

This thesis describes the active cruise control which is a part of AVHS(Advanced Vehicle and Highway System) in the ITS(Intelligent Transportation Systems). The active cruise control is a system which recognizes some obstructions and vehicles in front, drives in safe speed and puts on the brake in dangerous situations as the driver simply turns on the switch without stepping on the accelerator and brake. PID controller is used in the speed-control by linearizing the longitudinal model of the vehicle, obstacle detecting algorithm which makes use of the laser scanner is proposed to recognize the situation in front and the system's performance is tested.

• 한국전산구조공학회:학술대회논문집
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• 한국전산구조공학회 2007년도 정기 학술대회 논문집
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• pp.831-836
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• 2007

Overloaded Vehicles are one of biggest of hazard in durability decrease of roads and bridges. Thus, regulation was put in force about overloaded vehicles to reserve this problem. However, existing system had many problems. For these reasons, this paper presents solutions of U-intelligent overload vehicles regulation system based on manless and wireless for fixing of problems of existing system and construction of ITS. With this in mind, we studied about composition method of system. applications of USN, design of system controller, WCDMA/HSDPA, etc in this paper.

• 디지털융복합연구
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• 제10권11호
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• pp.365-369
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• 2012

사물지능통신은 낮은 네트워크 비용과 범위에서 이점을 가지고 있다. 사물지능통신의 지능형 자동차는 구성요소와 망 규모의 비율로 차량간 위치에서 극심한 변화를 보여준다. 지능형 자동차는 무선 통신 기능으로 자동차 장치들 간에 정보를 교환하기 위해 차량 애드 혹 망에서 생체 정보를 통하여 안전성 제공을 요구한다. 본 논문은 자동차 이동시 자동차간의 상호 인증을 위해 생체 정보를 제공하는 기법을 제안한다.

• 디지털산업정보학회논문지
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• 제14권4호
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• pp.27-33
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• 2018

The recent efforts in academia and industry represent a paradigm shift that will extend the IoT from the home environment so that it is interoperable with the Internet of Vehicles (IoV). IoV is a special kind of IoT. It allows to connect between vehicle and things located in infrastructure. Furthermore, IoV enable to create new intelligent services through collaboration with existing various services such as smart city and connected home. In this paper, we develop a service in order to realize IoV. To this end, we design a novel vehicle service platform which could automatical controlling the IoT device according to drivers' voice. To show practical usability of our proposed platform, we develop a prototype service could be call car-to-thing (C2T). We expect that our proposed platform could eventually contribute to realizing IoV.

• Journal of information and communication convergence engineering
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• 제20권3호
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• pp.226-233
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• 2022

Video surveillance is widely used in security surveillance, military navigation, intelligent transportation, etc. Its main research fields are pattern recognition, computer vision and artificial intelligence. This article uses OpenCV to detect and track vehicles, and monitors by establishing an adaptive model on a stationary background. Compared with traditional vehicle detection, it not only has the advantages of low price, convenient installation and maintenance, and wide monitoring range, but also can be used on the road. The intelligent analysis and processing of the scene image using CAMSHIFT tracking algorithm can collect all kinds of traffic flow parameters (including the number of vehicles in a period of time) and the specific position of vehicles at the same time, so as to solve the vehicle offset. It is reliable in operation and has high practical value.

• International Journal of Automotive Technology
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• 제7권4호
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• pp.509-517
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• 2006

In the mid 1990s, the combination of vehicles and communication was expected to bolster the stagnant car industry by offering a flood of new revenues. In-vehicle computing systems provide safety and control systems needed to operate the vehicle as well as infotainment, edutainment, entertainment, and mobile commerce services in a safe and responsible manner. Since 1980 the word "telematics" has meant the blending of telecommunications and informatics. Lately, telematics has been used more and more to mean "automotive telematics" which use informatics and telecommunications to enhance the functionality of motor vehicles such as wireless data applications, intelligent cruise control, and GPS in vehicles. This definition identifies telecommunications transferring information as the key enabling technology to provide these advanced services. In this paper, a possible framework for future telematics, which called an Intelligent Vehicle Network(IVN), is proposed. The paper also introduces and compares a number of existing technologies and the terms of their capabilities to support a suite of services. The paper additionally the paper suggests and analyzes possible directions for future telematics from current telematics techniques.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제13권11호
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• pp.5299-5320
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• 2019

Interest in self-driving vehicle research has been rapidly increasing, and related research has been continuously conducted. In such a fast-paced self-driving vehicle research area, the development of advanced technology for better convenience safety, and efficiency in road and transportation systems is expected. Here, we investigate research in self-driving vehicles and analyze the main technologies of driverless car software, including: technical aspects of autonomous vehicles, traffic infrastructure and its communications, research techniques with vision recognition, deep leaning algorithms, localization methods, existing problems, and future development directions. First, we introduce intelligent self-driving car and road infrastructure algorithms such as machine learning, image processing methods, and localizations. Second, we examine the intelligent technologies used in self-driving car projects, autonomous vehicles equipped with multiple sensors, and interactions with transport infrastructure. Finally, we highlight the future direction and challenges of self-driving vehicle transportation systems.