• 제목/요약/키워드: Intelligent future vehicle

검색결과 119건 처리시간 0.026초

Design of Gateway for In-vehicle Sensor Network

  • Kim, Tae-Hwan;Lee, Seung-Il;Hong, Won-Kee
    • 한국정보기술응용학회:학술대회논문집
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    • 한국정보기술응용학회 2005년도 6th 2005 International Conference on Computers, Communications and System
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    • pp.73-76
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    • 2005
  • The advanced information and communication technology gives vehicles another role of the third digital space, merging a physical space with a virtual space in a ubiquitous society. In the ubiquitous environment, the vehicle becomes a sensor node, which has a computing and communication capability in the digital space of wired and wireless network. An intelligent vehicle information system with a remote control and diagnosis is one of the future vehicle systems that we can expect in the ubiquitous environment. However, for the intelligent vehicle system, many issues such as vehicle mobility, in-vehicle communication, service platform and network convergence should be resolved. In this paper, an in-vehicle gateway is presented for an intelligent vehicle information system to make an access to heterogeneous networks. It gives an access to the server systems on the internet via CDMA-based hierarchical module architecture. Some experiments was made to find out how long it takes to communicate between a vehicle's intelligent information system and an external server in the various environment. The results show that the average response time amounts to 776ms at fixec place, 707ms at rural area and 910ms at urban area.

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Intelligent Soft Driving System for an Electric Four-wheeled Vehicle Eluding Dynamic Obstacles

  • Inoue, Masaki;Yasunobu, Seiji
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 2003년도 ISIS 2003
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    • pp.583-586
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    • 2003
  • There are electric four-wheeled vehicles to assist elder people. Because of the vehicles'dynamic characteristic such as impossible to move abeam, it is difficult for these people who has little experience and has little knowledge to drive. Also to judge the future state of dynamic obstacles and to decide how to elude them safely are more difficult. We installed the predictive fuzzy controller(evaluates the future states which several kinds of operation candidates were done and chooses the best one) that modeled humans'algorithms in the system. Human predicts the future states of dynamic obstacles and chooses an operation(wait, steer, go back, etc) to elude safely. To elude dynamic obstacles flexibly, we added expert's knowledge for safe driving to this controller. In this paper, we propose the intelligent soft driving system by the controller that can elude dynamic obstacles safely, and we confirm the effectiveness by a simulation.

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OVERVIEW OF TELEMATICS: A SYSTEM ARCHITECTURE APPROACH

  • Cho, K.Y.;Bae, C.H.;Chu, Y.;Suh, M.W.
    • 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.

A Review of Intelligent Self-Driving Vehicle Software Research

  • Gwak, Jeonghwan;Jung, Juho;Oh, RyumDuck;Park, Manbok;Rakhimov, Mukhammad Abdu Kayumbek;Ahn, Junho
    • 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.

Estimation of vehicle cornering stiffness via GPS/INS

  • Park, Gun-Hong;Chang, Yu-Shin;Ryu, Jae-Heon;Jeong, Seung-Gweon;Song, Hyo-Shin;Park, Seok-Hyun;Lee, Chun-Han;Hong, Sin-Pyo;Lee, Man-Hyung
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2003년도 ICCAS
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    • pp.1706-1709
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    • 2003
  • This paper demonstrates a unique method for measuring vehicle states such as body sideslip angle and tire sideslip angle using Global Positioning System(GPS) velocity information in conjunction with other sensors. A method for integrating Inertial Navigation System (INS) sensors with GPS measurements to provide higher update rate estimates of the vehicle states is presented, and the method can be used to estimate the tire cornering stiffness. The experimental results for the GPS velocity-based sideslip angle measurement. From the experimental results, it can be concluded that the proposed method has an advantage for future implementation in a vehicle safety system.

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퍼지 적응제어를 이용한 차량간격 제어 알고리즘에 관한 연구 (Autonomous Intelligent Cruise Control Using the Adaptive Fuzzy Control)

  • 장광수;최재성
    • 한국자동차공학회논문집
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    • 제4권6호
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    • pp.175-186
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    • 1996
  • In Advanced Vehicle Control System(AVCS), Autonomous Intelligent Cruise Control(AICC) is generally understood to be a system that can be achieved in the near future without the demanding infrastructure components and technoloties. AICC is an automatic vehicle following system with no human engagement in the longitudinal vehicle direction. This paper presents a fuzzy control algorithm to develop the AICC system. The control performance was studied information of vehicles using computer simulations. The most improtant aspects of the work reported here are the adoption of the fuzzy adaptive control law, and the use of filtering concept to reduce the slinky effects that may appear in a formation of vehicles equipped with AICC systems. The simulation results demonstrate the effectiveness of the fuzzy adaptive AICC system and its beneficial effects on traffic flow.

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미래 교통환경 지원을 위한 차량 빅데이터 기반의 미시구간 속도정보 서비스 방안 연구 (A Study on Vehicle Big Data-based Micro-scale Segment Speed Information Service for Future Traffic Environment Assistance)

  • 최강혁;정규수
    • 한국ITS학회 논문지
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    • 제21권2호
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    • pp.74-84
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    • 2022
  • 자율주행 관련 기술의 고도화와 함께 자율차와 비자율차가 혼재된 교통 환경이 예측됨에 따라서 미시구간의 차량 속도정보 예측은 안전한 교통 환경 구축에 가장 중요한 정보 중 하나로 판단되고 있다. 하지만, 현재 제공되는 링크 기준 미시구간 주행 속도는 속도 변화 구간을 정확하게 반영하지 못하는 한계가 있다. 본 연구에서는 미시구간 속도정보 서비스를 위한 개별 차량 빅데이터 기반의 공간 분할 방안을 제시한다. 본 연구에서는 차량 빅데이터를 이용한 동질속도구간 도출과 지오해시 기반의 단계적 구간 분할을 통하여 미시적 속도 정보 변화 지점을 분류하였다. 경부고속도로 경기지역에 대하여 제안된 방법을 적용한 결과 해당 구간 도로는 130 및 170개의 동질속도구간으로 세분되었다. 본 연구에서는 결과 분석을 통하여 제안된 방법은 기존 링크 기반 정보에 비하여 정밀하고 정확한 속도 정보 제공이 가능함을 제시하였으며, 개별 차량 빅데이터를 이용한 미시적 속도 정보 제공을 위한 구간 세분화가 필요함을 검증하였다.

운전자 거동에 대한 필드 데이터베이스 구축을 위한 차량 환경 개발 (Development of Vehicle Environment for Field Operational Test Data Base of Driver-vehicle's Behaviour)

  • 김진용;정창현;정민지;정도현;우진명
    • 한국자동차공학회논문집
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    • 제21권1호
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    • pp.1-8
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    • 2013
  • Recently, the automotive technology has developed with electronics and information technology as convergence technology while vehicles had been regarded as machines. Moreover, vehicles are becoming more intelligent and safer devices, assembly of advanced technologies by customers' demand. Even though all of installations of vehicle have attracted as diverting devices, it cause drivers' mistakes like delay of response on traffic condition. Here, we proposed the Field Operational Test (FOT) environment which could be used as driving and road conditions collector(Vehicle motion, Traffic condition, Driver input, Driver state, etc.) for researches about Driver Friendly Intelligent System(SCC, LDWS, etc.), Human Vehicle Interface(Driving Workload, etc.) and Economic Drive Model. Furthermore driving patten and fuel consumption patten of drivers were analyzed by measured data and direction of future research was suggested.

Steering Control of the Autonomous Guided Vehicle Driving System for Durability Test

  • Jeong, Jong-Won;Lee, Young-Jin;Yoon, Kang-Sup;Lee, Man-Hyung
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2000년도 제15차 학술회의논문집
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    • pp.104-104
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    • 2000
  • Among durability tests, the accelerated durability test has been widely used to evaluate the durability of vehicle structure and chassis pans in a shon period of time on the designed road which has severe surface conditions. However it increases the drivers fatigue mainly caused by the severe driving conditions. The drivers difficulty of maintaining constant speed and controlling the steering wheel reduces the reliability of test results. The durability test includes the position and distance sensing system for the recognition of the absolute and relative driving position, the driving control system for the control of whole driving circumstance, the emergency system for responding to system errors. AGVDS (Autonomous Guided Vehicle Driving System) was Proved to facilitate the development of now car projects. Therefore the AGVDS we propose will help make the fundamentals for all future traffic systems.

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