• 제목/요약/키워드: 지능형 Vehicle

검색결과 466건 처리시간 0.027초

Remote Control of an unmaned vehicle of shortage of hands using Internet (인터넷을 이용한 지능형 무인 차량의 원격제어)

  • 김승철;김남수;임영도
    • Journal of the Institute of Convergence Signal Processing
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    • 제3권4호
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    • pp.57-61
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    • 2002
  • We design Collision Avoidance System using model vehicle. The purpose of this system(Collision Avoidance System) is to maintain continuously constant distance between a forward running vehicle and a following automatic guided vehicle(AGV). For this system, we design modeling of vehicle and observe this through simulation. By sing super sonic sensors to measure the distance between vehicles and controller using 80c196kc for changing velocity of motor, we design Collision Avoidance System as maintaining continuously constant distance between vehicles.

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Design and Implementation of Intelligent Monitoring Vehicle (지능형 감시차량의 설계 및 구현)

  • Lee, Moo-Seong;Son, Young-Dae
    • Proceedings of the KIEE Conference
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    • 대한전기학회 2015년도 제46회 하계학술대회
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    • pp.99-100
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    • 2015
  • 본 논문에서는 24시간 365일 감시가 필요한 장소 중에서 감시범위가 넓어 인력으로 감시하기에 무리가 있거나, 적은 인력으로 효율적인 감시가 필요한 경우 또는 특정된 지역의 감시가 아닌 새로운 환경에 대한 감시가 필요한 경우 사용할 수 있는 감시장비인 지능형 감시차량을 설계하였다. 그리고 설계를 바탕으로 지능형 감시차량을 제작하여 테스트를 진행하였다. 차량은 사용자가 원하는 곳으로 조종할 수 있었으며 차량이 수집한 데이터를 모두 받아볼 수 있었다. 다만 통신 거리에 대한 보안점이 있었으나 이것만 개선한다면 실제 군사, 산업, 국가기간시설 등에서도 사용이 가능하다고 생각된다.

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Technological Application of Computer Vision to the Development of an Intelligent Vehicle (지능형 자동차 개발에 있어서의 컴퓨터비전의 응용)

  • 이준웅
    • Journal of the korean Society of Automotive Engineers
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    • 제26권4호
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    • pp.11-16
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    • 2004
  • 컴퓨터로 하여금 보게 한다라고 하는 컴퓨터비전은 지능형 자동차 개발분야에 있어서 키 테크놀러지로 부상된 지 오래다. 금년 6월 이탈리아의 파르마에서 개최된 2004년도 IV' 04에서 발표된 논문들과 세부 프로그램들이 이를 증명하고 있다. 지능형 자동차에서 있어서 컴퓨터비전 기술의 응용은 크게 두 축으로 이루어지고 있는데, 첫째는 컴퓨터비전 단독의 기술만으로 여러 응용분야에서 상품으로 개발되는 것이고, 둘째는 다른 센싱기술과 퓨전(Fusion)을 통한 상품화 추구이다. (중략)

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A Survey of Intelligent Vehicle Security (지능형 차량 보안 기술 동향)

  • Choi, B.C.;Han, S.W.;Chung, B.H.;Kim, J.N.
    • Electronics and Telecommunications Trends
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    • 제22권1호통권103호
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    • pp.114-118
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    • 2007
  • 국내외적으로 지능형 차량 및 텔레매틱스/ITS 연구 개발을 통해서 차량에 IT 기술 접목을 위한 노력을 가속화하고 있다. 우리나라의 경우 산업자원부가 미래 10대 전략품목으로 자동차 부분에서 지능형 차량을 선정하였으며, 정보통신부는 u-IT839의 핵심서비스로 텔레매틱스/ITS 서비스를 추진하고 있다. EU는 i2010 Flagship에서 intelligentcar initiative 프로젝트를 통해 지능형 차량 및 보안을 위한 전략 수립과 세부과제를 수행하고 있다. 또한, IEEE 802.11p/P1609(WAVE)와 ISO TC204/WG16CALM에서는 차량 통신 보안 및 서비스에 대해서 고려하고 있다. 현재 지능형 차량과 관련하여서는 다양한 사업 모델이 제시되고 있으며, 자동차 업계의 BM과 이동통신 업계의 AM이 동반 성장하고 있다. 본 기고문은 지능형 차량 및 텔레매틱스/ITS와 관련한 보안 기술 동향을 살펴본다.

Performance of IEEE 802.11b WLAN Standard at In-Vehicle Environment for Intelligent U-Car System (지능형 U-Car에서 IEEE 802.11b을 이용한 차량 내 데이터 무선 랜 전송 성능 분석)

  • Lee Seung-Hwan;Heo Soo-Jung;Park Yong-Wan;Lee Sang-Shin;Lee Dong-Hahk;Yu Jae-Hwang
    • Journal of the Institute of Electronics Engineers of Korea TC
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    • 제43권9호
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    • pp.80-87
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    • 2006
  • In this paper, we analyze the performance of IEEE 802.11b WLAN communication between access point(AP) and mobile equipment(ME) in 2.4 GHz band with noise and interference factors. WLAN communication at in-vehicle environment is assumed as the communication between main vehicle controller and electronic device such as sensor, ECU (Electrical Control Unit) in vehicle on telematics field for implementing wireless vehicle control system. Received interference level from other system's mobile equipment in the same band and automobile noise from each part of vehicle can be the main factors that can cause increasing error rate of control signal. With these (actors, we focus on the Eb/No the BER performance of WLAN for analyzing the characteristic of interference factors by the measured bit error rate.

An Autonomous Navigation System for Unmanned Underwater Vehicle (무인수중로봇을 위한 지능형 자율운항시스템)

  • Lee, Young-Il;Jung, Hee;Kim, Yong-Gi
    • Journal of KIISE:Software and Applications
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    • 제34권3호
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    • pp.235-245
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    • 2007
  • UUV(Unmanned Underwater Vehicle) should possess an intelligent control software performing intellectual faculties such as cognition, decision and action which are parts of domain expert's ability, because unmanned underwater robot navigates in the hazardous environment where human being can not access directly. In this paper, we suggest a RVC intelligent system architecture which is generally available for unmanned vehicle and develope an autonomous navigation system for UUV, which consists of collision avoidance system, path planning system, and collision-risk computation system. We present an obstacle avoidance algorithm using fuzzy relational products for the collision avoidance system, which guarantees the safety and optimality in view of traversing path. Also, we present a new path-planning algorithm using poly-line for the path planning system. In order to verify the performance of suggested autonomous navigation system, we develop a simulation system, which consists of environment manager, object, and 3-D viewer.

The analysis of technology of the connected car (커넥티드 카의 기술 분석)

  • Shim, Hyun-Bo
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 한국정보통신학회 2015년도 추계학술대회
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    • pp.211-215
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    • 2015
  • It comes into the spotlight as the new Blue Ocean in which the connected car industry in which the car and mobile communication technology is convergence. All sorts of infortainments services connecting with the portable electronic device(Smart phone, tablet PC, and MP3 player) and car are rapidly grown. The Connected car emphasizes the vehicle connectivity with the concept that the car has communication with the around on a real time basis and it provides the safety and expedience to the operator and using the thing of Internet (IoT) in the car and supports the application, presently, the entertainment service including the real-time Navigation, parking assistant function, not only the remote vehicle control and management service but also Email, multimedia streaming service, SNS and with the platform. Intelligent vehicle network is studied as the kind according to MANET(Mobile Ad Hoc Network) for the safety operation of the cars of the road and improving the efficiency of the driving. The intelligent vehicle network is comprised for the driving information offering changing rapidly of the communication(V2V: Vehicle to Vehicle) between the car and the car, communication(V2I : Vehicle to Infrastructure) between the infrastructure and the car, and V2X (Vehicle to Nomadic).

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Unmanned Driving of Robotic Vehicle Using Magnetic Maker (자계표식을 이용한 로봇형 차량의 무인주행)

  • Im, Dae-Yeong;Ryoo, Young-Jae
    • Journal of the Korean Institute of Intelligent Systems
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    • 제18권6호
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    • pp.775-780
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    • 2008
  • In this paper, unmanned driving of robotic vehicle using magnetic marker is proposed. One of the most important component of autonomous vehicle is to detect the position of a magnetic marker on the road. In order to calculate the precise position of a magnet embedded on the road, the relation of magnetic field and a sensor is analyzed, and a new position sensing system using arrayed magnetic sensor is proposed. Also, the steering control system using a stepping motor is developed for driving by automatic mode as well as manual mode. For the verification of usability, the developed robotic vehicle is tested on magnetic road.

Design of Intelligent Parking System for Autonomous Vehicle at the Slant Space (자율주행 차량을 위한 지능형 경사 주차 시스템 설계)

  • Hao, Yang-Hua;Kim, Tae-Kyun;Choi, Byung-Jae
    • Journal of the Korean Institute of Intelligent Systems
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    • 제18권4호
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    • pp.506-511
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    • 2008
  • Recently, it is widely progressed that the research of the performance improvement of an intelligent vehicle. Among them, its parking problem has attracted a great deal of attention and have been examined in many papers in the literature. In this paper we design a fuzzy logic based parking system at the slant parking space which is a important part for designing an autonomous parking system. We first design a parking path for the slant space and propose a fuzzy logic based parking algorithm. We present its simulation results and show the effectiveness of the proposed method.