• Title/Summary/Keyword: CNS(Car Navigation System)

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The Study of CNS(Car Navigation System) focusing on Map matching method (CNS(Car Navigation System)에서의 맵매칭 방법에 대한 고찰)

  • 정성원
    • Proceedings of the Korean Information Science Society Conference
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    • 2003.10c
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    • pp.397-399
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    • 2003
  • 2001년 이후 Car Navigation System(이하 CNS)을 장착한 차량이 급증하는 가운데 많은 기업들이 차량의 위치 오차를 최소화 시키는 노력에 힘쓰고 있다. 본 논문은 CNS에서 발생되는 차량의 위치 오차를 최소화하기 위한 일환으로 GPS(Global Positioning System) 위성으로부터 계산되어진 차량의 위치 좌표와 차량의 실제(true) 좌표간의 오차를 보정하여 디스플레이(display) 상의 오류를 방지할 수 있는 맵매칭(map­matching)방법을 제시한다.

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Reduction of GPS Latency Using RTK GPS/GNSS Correction and Map Matching in a Car NavigationSystem

  • Kim, Hyo Joong;Lee, Won Hee;Yu, Ki Yun
    • Journal of Korean Society for Geospatial Information Science
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    • v.24 no.2
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    • pp.37-46
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    • 2016
  • The difference between definition time of GPS (Global Positioning System) position data and actual display time of car positions on a map could reduce the accuracy of car positions displayed in PND (Portable Navigation Device)-type CNS (Car Navigation System). Due to the time difference, the position of the car displayed on the map is not its current position, so an improved method to fix these problems is required. It is expected that a method that uses predicted future positionsto compensate for the delay caused by processing and display of the received GPS signals could mitigate these problems. Therefore, in this study an analysis was conducted to correct late processing problems of map positions by mapmatching using a Kalman filter with only GPS position data and a RRF (Road Reduction Filter) technique in a light-weight CNS. The effects on routing services are examined by analyzing differences that are decomposed into along and across the road elements relative to the direction of advancing car. The results indicate that it is possible to improve the positional accuracy in the along-the-road direction of a light-weight CNS device that uses only GPS position data, by applying a Kalman filter and RRF.

Development of Human Factors Evaluation System for Car Navigation System (자동차 항법장치의 인간공학 평가시스템 개발)

  • Cha, Doo-Won;Park, Peom
    • IE interfaces
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    • v.12 no.2
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    • pp.294-304
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    • 1999
  • This paper describes the theoretical background and detailed structure of Navi-HEGS (Navigation system Human factors Evaluation and Guideline System) which has been developed for the human factors and HMI(Human-Machine Interface) researches for a CNS (Car Navigation System) and a digital map. Navi-HEGS is and integrated system that consists of a digital map UIMS(User Interface Management System), a CNS simulator, various evaluation tools, and a design guideline system. If Navi-HEGS is properly applied and utilized, it is possible to extract the substantial users requirements and preferences of a CNS and a digital map and then, these requirements can be simulated and evaluated with various human factors evaluation techniques. Applications of Navi-HEGS can improve the CNS usability, drivers safety and performance that directly affect the success of ITS(Intelligent Transport System). Also, results can be used as the basic data to establish the standards and design guidelines for the driver-centered CNS design.

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Minimizing Position Error in a Car Navigation System by fusing GPS and Dead-Reckoning (Car Navigation System에서 GPS와 추측항법을 결합한 위치오차의 최소화에 관한 연구)

  • Lee, Hyuck-Joong;Lee, Chang-Ho;Kim, Kwang-Ik
    • Journal of Korean Society for Geospatial Information Science
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    • v.2 no.2 s.4
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    • pp.81-88
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    • 1994
  • The CNS(Car Navigation System) is used more generally in driver aid system than ALV(Auto nomous Land Vehicle) research area. In this paper we developed a new position tracking algorithm for the Global Path Planning in the CNS. In japan, CNS is already well developed and, thesedays they sell CNS products about $400{\sim}500$ thousands per year, and USA and European Communications(EC), too. In Korea, studies of the first generation CNS, which finds current location of a navigating vehicle and displays its location in a Digital-Map with real-time are progressing but still in the beginning step. Therefore a new position tracking algorithm is presented, which reduces vehicle position error dramatically by fusing GPS and dead-reckoning sensors. And the validity of our algorithm is demonstrated by the experimental results with the real car.

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Preliminary Design of GBAS Onboard Test Equipment

  • Jeong, Myeong-Sook;Ko, Wan-Jin;Bae, Joong Won;Jun, Hyang Sig
    • Journal of Positioning, Navigation, and Timing
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    • v.2 no.1
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    • pp.41-48
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    • 2013
  • When the ground subsystem of Ground Based Augmentation System(GBAS) is installed at the airport, the functions and performance of subsystem should be evaluated through ground and flight testing at the pre-commissioning phase. In the case of GBAS flight testing, it can be conducted by the existing flight check aircraft, but the GBAS ground testing requires the development of specially customized equipment to perform the ground testing. Therefore, this paper describes the preliminary design of GBAS onboard test equipment which can be independently used for the GBAS ground testing and flight testing on a car and an aircraft.

REPRESENTATION OF NAVIGATION INFORMATION FOR VISUAL CAR NAVIGATION SYSTEM

  • Joo, In-Hak;Lee, Seung-Yong;Cho, Seong-Ik
    • Proceedings of the KSRS Conference
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    • 2007.10a
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    • pp.508-511
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    • 2007
  • Car navigation system is one of the most important applications in telematics. A newest trend of car navigation system is using real video captured by camera equipped on the vehicle, because video can overcome the semantic gap between map and real world. In this paper, we suggest a visual car navigation system that visually represents navigation information or route guidance. It can improve drivers' understanding about real world by capturing real-time video and displaying navigation information overlaid on it. Main services of the visual car navigation system are graphical turn guidance and lane change guidance. We suggest the system architecture that implements the services by integrating conventional route finding and guidance, computer vision functions, and augmented reality display functions. What we designed as a core part of the system is visual navigation controller, which controls other modules and dynamically determines visual representation methods of navigation information according to a determination rule based on current location and driving circumstances. We briefly show the implementation of system.

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THE METHOD FOR SETTING DESTINATION BASED ON IDENTIFIER OF MOVING OBJECT

  • Jang, In-Sung
    • Proceedings of the KSRS Conference
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    • 2008.10a
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    • pp.107-110
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    • 2008
  • In this study, we propose a system for setting a Destination on CNS(Car Navigation System) or PNS(Personal Navigation System). The present Navigation does set the destination by only static method like name search, address search and wire telegraph telephone number search. But, the kind of setting a static destination does not reflect the dynamic moving situation. So we suggest setting the destination of navigation using Identifier of moving terminal. And it includes privacy protection on personal position information

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VEHICLE LOCALIZATION METHOD USING THE IMAGES FOR CAR NAVIGATION SYSTEM

  • Lee, Seung-Yong;Joo, In-Hak;Cho, Seong-Ik
    • Proceedings of the KSRS Conference
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    • 2007.10a
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    • pp.573-575
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    • 2007
  • Current accuracy of GPS is within the meter level, which is sufficient for route guidance of car navigation system(CNS). But receiving condition of GPS signal varies time to time according to surrounding objects such as building, trees, and terrain. For this reason, the performance of the route guidance is degraded in urban region. In this paper, to improve the performance of the route guidance of CNS, we propose a method for determining location of vehicle using a location of the traffic signal and its pixel size extracted from real-time Image.

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Representing Navigation Information on Real-time Video in Visual Car Navigation System

  • Joo, In-Hak;Lee, Seung-Yong;Cho, Seong-Ik
    • Korean Journal of Remote Sensing
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    • v.23 no.5
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    • pp.365-373
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    • 2007
  • Car navigation system is a key application in geographic information system and telematics. A recent trend of car navigation system is using real video captured by camera equipped on the vehicle, because video has more representation power about real world than conventional map. In this paper, we suggest a visual car navigation system that visually represents route guidance. It can improve drivers' understanding about real world by capturing real-time video and displaying navigation information overlaid directly on the video. The system integrates real-time data acquisition, conventional route finding and guidance, computer vision, and augmented reality display. We also designed visual navigation controller, which controls other modules and dynamically determines visual representation methods of navigation information according to current location and driving circumstances. We briefly show implementation of the system.

Applying Embedded System Forensics to Car GPS Navigation System Analysis (임베디드 포렌식 기술을 활용한 차량용 GPS 항법 장치 분석)

  • Lee, Yang-Sun;Park, Jong-Hyuk;Kim, Soo-Kyun
    • Journal of Advanced Navigation Technology
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    • v.13 no.5
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    • pp.639-645
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    • 2009
  • It has increased rapidly use of GPS car navigation system in the last few years worldwide. The type of navigation operation is composed of hardware or software. Navigation based on software is stored in exterior storage(e.g. SD card) and executed. One of many navigation software, Mappy, is used most plentifully in Korea. It stores user information such frequently visited place, route and etc. in exterior storage. If it analyzes the dat of navigation, we gain the information such a suspect's movement, route of car. There are important means in a digital forensic perspective because it's available for investigating the crime such kidnapping, murder and etc. This paper provides the necessary information in digital investigation through the analysis of stored data of navigation in a digital forensic perspective.

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