• 제목/요약/키워드: In-Vehicle Network System

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In-Vehicle Network에서 지능형 통합 Gateway 시스템 개발 (Development intelligent integrated gateway for in In-Vehicle Network)

  • 장종욱;오세환
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2009년도 춘계학술발표대회
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    • pp.7-10
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    • 2009
  • 본 연구에서는 차량 네트워크를 구성하는 CAN(Controller Area Network), MOST(Media Oriented System Transport)등의 버스 시스템을 중심으로 IVN(In-Vechicle Network)에 대한 선행연구와 지능형 통합 Gateway 개발 연구를 통해 통합적인 차량 상태정보 수집 및 교환을 위한 차량 Gateway를 제시하고, Soc(System on Chip)형태의 차량용 인터페이스(HMI, Human Machine Interface)를 통한 지능형 통합 GateWay 통신 기술을 OSGi의 번들 형태로 제작하여 알아본다.

무선 통신 네트워크를 이용한 차량 내 네트워크의 신뢰성 개선 및 ESC 시스템에의 응용 (Reliability Improvement of In-Vehicle Networks by Using Wireless Communication Network and Application to ESC Systems)

  • 이정덕;이경중;안현식
    • 전기학회논문지
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    • 제64권10호
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    • pp.1448-1453
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    • 2015
  • In this paper, we propose an alternative method of communication to improve the reliability of in-vehicle networks by jointly using wireless communication networks. Wired Communication networks have been used in vehicles for the monitoring and the control of vehicle motion, however, the disconnection of wires or hardware fault of networks may cause a critical problem in vehicles. If the network manager detects a disconnection or faults in wired in-vehicle network like the Controller Area Network(CAN), it can redirect the communication path from the wired to the wireless communication like the Zigbee network. To show the validity and the effectiveness of the proposed in-vehicle network architecture, we implement the Electronic Stability Control(ESC) system as ECU-In-the-Loop Simulation(EILS) and verify that the control performance can be kept well even if some hardware faults like disconnection of wires occur.

자동차 내부망 통신네트워크 해킹범죄예방을 위한 융합보안적 대응방안: Bluetooth 활용사례를 중심으로 (Convergence Security Approach for Motor Vehicle Communication Network Hacking Attack Prevention: Focus on Bluetooth Cases)

  • 최관;김민지
    • 융합보안논문지
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    • 제16권6_2호
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    • pp.99-107
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    • 2016
  • 이 연구의 목적은 Bluetooth를 활용한 자동차의 내부망 통신네트워크를 해킹공격으로부터 예방하기 위한 대응방안을 제시하기 위함이다. 이를 위해 2장에서는 자동차 통신네트워크의 정의와 내부망 통신네트워크의 종류에 대해서 살펴보았다. 3장에서는 자동차 내부망 통신네트워크 해킹위험성을 분석하기 위해 Bluetooth에 의한 해킹범죄사례를 살펴보았다. 4장에서는 본 연구의 결과로서 첫째, "자동차안전기준에 관한 규칙" 개정이 이루어져야 한다. 동법에서는 전자제어시스템의 정의 및 기준사항과 안전운행을 위한 제작 및 정비를 규정해 놓았음에도 불구하고 전자제어시스템을 대상으로 한 해킹범죄 예방 및 방어와 관련된 보안프로그램 혹은 펌웨어 등의 제작과 관련된 규정이 없는 실정이다. 둘째, 자동차의 전자제어시스템 기술의 복잡성에 기인된 자동차 통신네트워크를 보호하고자 자동차 통신네트워크 보호 법률이 신설되어야 한다.

지능형 자동차의 분산형 시스템을 위한 FlexRay 네트워크 시스템의 구현 (Implementation of FlexRay Network System for Distributed Systems of Intelligent Vehicle)

  • 하경남;이원석;이경창;이석
    • 제어로봇시스템학회논문지
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    • 제13권10호
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    • pp.933-939
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    • 2007
  • Safety critical systems such as x-by-wire systems require in-vehicle network systems that can interconnect various sensors, actuators, and controllers. These networks need to have high data rate, deterministic operation, and fault tolerance. Recently, FlexRay protocol that is a time-triggered protocol has been introduced, and many automotive companies have been focusing on this protocol. This paper presents a design method of FlexRay network system and implementation of FlexRay-based motor control system.

Designing an Intelligent Rehabilitation Wheelchair Vehicle System Using Neural Network-based Torque Control Algorithm

  • Kim, Taeyeun;Bae, Sanghyun
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제11권12호
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    • pp.5878-5904
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    • 2017
  • This paper proposes a novel intelligent wheelchair vehicle system that enables upper limb exercises, lower limb standing exercises and rehabilitation training in a daily life. The proposed system, which can be used to prevent at least the degeneration of body movements and further atrophy of musculoskeletal system functions, considers the characteristics and mobility of the old and the disabled. Its main purpose is to help the old and the disabled perform their daily activities as much as they can, minimizing the extent of secondary disabilities. In other words, the system will provide the old and the disabled with regular and quantitative rehabilitation exercises and diagnosis using the wheelchair-based upper/lower limb rehabilitation vehicle system and then verify their effectiveness. The system comprises an electric wheelchair, a biometric module to identify individual characteristics, and an upper/lower limb rehabilitation vehicle. In this paper the design and configuration of the developed vehicle is described, and its operation method is presented. Moreover, to verify the tracking performance of the proposed system, dangerous situations according to biosignal changes occurring during the rehabilitation exercise of a non-disabled examinee are analyzed and the performance of the upper/lower limb rehabilitation exercise function depending on muscle strength is evaluated through a neural network algorithm.

뉴로퍼지를 이용한 자율운송시스템의 차량합류제어 (Neuro-Fuzzy control of converging vehicles for automated transportation systems)

  • 류세희;박장현
    • 제어로봇시스템학회논문지
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    • 제5권8호
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    • pp.907-913
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    • 1999
  • For an automated transportation system like PRT(Personal Rapid Transit) system or IVHS, an efficient vehicle-merging algorithm is required for smooth operation of the network. For management of merging, collision avoidance between vehicles, ride comfort, and the effect on traffic should be considered. This paper proposes an unmanned vehicle-merging algorithm that consists of two procedures. First, a longitudinal control algorithm is designed to keep a safe headway between vehicles in a single lane. Secondly, 'vacant slot and ghost vehicle' concept is introduced and a decision algorithm is designed to determine the sequence of vehicles entering a converging section considering energy consumption, ride comfort, and total traffic flow. The sequencing algorithm is based on fuzzy rules and the membership functions are determined first by an intuitive method and then trained by a learning method using a neural network. The vehicle-merging algorithm is shown to be effective through simulations based on a PRT model.

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A Model Reference Variable Structure Control based on a Neural Network System Identification for an Active Four Wheel Steering System

  • Kim, Hoyong;Park, Yong-Kuk;Lee, Jae-Kon;Lee, Dong-Ryul;Kim, Gi-Dae
    • 한국자동차공학회논문집
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    • 제8권6호
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    • pp.142-155
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    • 2000
  • A MIMO model reference control scheme incorporating the variable structure theory for a vehicle four wheel steering system(4WS) is proposed and evaluated for a class of continuous-time nonlinear dynamics with known or unknown uncertainties. The scheme employs an neural network to identify the plant systems, where the neural network estimates the nonlinear dynamics of the plant. By the Lyapunov direct method, the algorithm is proven to be globally stable, with tracking errors converging to the neighborhood of zero. The merits of this scheme is that the global system stability is guaranteed and it is not necessary to know the exact structure of the system. With the resulting identification model which contains the neural networks, it does not need higher degrees of freedom vehicle model than 3 degree of freedom model. Th proposed scheme is applied to the active four wheel system and shows the validity is used to investigate vehicle handing performances. In simulation of the J-turn maneuver, the reduction of yaw rate overshoot of a typical mid-size car improved by 30% compared to a two wheel steering system(2WS) case, resulting that the proposed scheme gives faster yaw rate response and smaller side angle than the 2WS case.

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인공 신경망을 이용한 플랫 슬래브 주차장 구조물의 등가차량하증계수 (Determination of Equivalent Vehicle Load Factors for Flat Slab Parking Structures Using Artificial Neural Networks)

  • 곽효경;송종영;이기장;이정원
    • 한국전산구조공학회:학술대회논문집
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    • 한국전산구조공학회 2002년도 봄 학술발표회 논문집
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    • pp.233-240
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    • 2002
  • In this paper, the effects of vehicle loads on flat slab system are investigated on the basis of the previous studies for beam-girder parking structural system. The influence surfaces of flat slab for typical design section are developed for the purpose of obtaining maximum member forces under vehicle loads. In addition, the equivalent vehicle load factors for flat slab parking structures are suggested using artificial neural network. The network responses are compared with the results by numerical analyses to verify the validation of Levenberg-Marquardt algorithm adopted as training method in this paper. Many parameter studies fur the flat slab structural system show dominant vehicle load effects at the center positive moments in both column and middle strips, like the beam-girder parking structural system.

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차선의 회전 방향 인식을 위한 신경회로망 응용 화상처리 (Detection of Lane Curve Direction by Using Image Processing Based on Neural Network)

  • 박종웅;장경영;이준웅
    • 한국자동차공학회논문집
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    • 제7권5호
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    • pp.178-185
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    • 1999
  • Recently, Collision Warning System is developed to improve vehicle safety. This system chiefly uses radar. But the detected vehicle from radar must be decide whether it is the vehicle in the same lane of my vehicle or not. Therefore, Vision System is needed to detect traffic lane. As a preparative step, this study presents the development of algorithm to recognize traffic lane curve direction. That is, the Neural Network that can recognize traffic lane curve direction is constructed by using the information of short distance, middle distance, and decline of traffic lane. For this procedure, the relation between used information and traffic lane curve direction must be analyzed. As the result of application to sampled 2,000 frames, the rate of success is over 90%.t text here.

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무선 센서 네트워크 기반의 차량 검지 시스템을 위한 교통신호제어 기법 (Traffic Signal Control Scheme for Traffic Detection System based on Wireless Sensor Network)

  • 홍원기;심우석
    • 제어로봇시스템학회논문지
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    • 제18권8호
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    • pp.719-724
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    • 2012
  • A traffic detection system is a device that collects traffic information around an intersection. Most existing traffic detection systems provide very limited traffic information for signal control due to the restriction of vehicle detection area. A signal control scheme determines the transition among signal phases and the time that a phase lasts for. However, the existing signal control scheme do not resolve the traffic congestion effectively since they use restricted traffic information. In this paper, a new traffic detection system with a zone division signal control scheme is proposed to provide correct and detail traffic information and decrease the vehicle's waiting time at the intersection. The traffic detection system obtains traffic information in a way of vehicle-to-roadside communication between vehicles and sensor network. A new signal control scheme is built to exploit the sufficient traffic information provided by the proposed traffic detection system efficiently. Simulation results show that the proposed signal control scheme has 121 % and 56 % lower waiting time and delay time of vehicles at an intersection than other fuzzy signal control scheme.