• 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.

• 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.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.17 no.3
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• pp.175-181
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• 2017

In this paper, we describe a design and development of car HUD(Head-Up-Display) navigation system using a Raspberry Pi. Car drivers can't concentrate on driving due to the use of various electronic devices, especially the car navigation systems installed in the cars. Therefore, car accident caused by not concentrating on the driving views is one of the most common accident types. In order to prevent the problems, HUD technology is used to help the driver to secure front views, thereby to minimize the traffic accidents caused by neglecting forward views. In this research, we propose the design and development techniques of a HUD navigation system using Raspberry Pi, and we believe that the commerical use of HUD navigation will grately reduce the risk of many car accidents.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.18 no.7
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• pp.1695-1703
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• 2014

Manipulating a car navigation system while driving can lead to car accident due to loss of concentration. This will be more serious for elders or beginner drivers. Recently, a new Road Traffic Law in Korea prohibits drivers from watching or operating any video displaying devices. So the car navigation system came hard to use. In order to solve the issue we design and implement a novel system where a remote person can control the car navigation system on behalf of the driver. In the proposed system, we suggest to utilize the driver's smartphone for allowing sharing the Internet connection of the phone with the navigation system. The required smartphone application and the server will also be designed and implemented.

• 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.

• 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.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.18 no.5
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• pp.1194-1200
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• 2014

One of problems in car navigation systems is that a number of inputs are required for a directions search. This may even causes a car accident due to poor concentration while driving. In order to solve the issue we design and implement a safe and easy-to-use car navigation system which allows a driver to look up directions with just a single tap. Our smartphone app creates an NFC tag by deriving location information from a text, voice, GPS, and so on. The driver can then get the directions by just tapping a phone or card with the Tag on the navigation system. We show the feasibility and effectiveness of our system by comparing our implementation with the existing car navigation systems.

• 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.

• 제어로봇시스템학회:학술대회논문집
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• 1997.10a
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• pp.1403-1406
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• 1997

Generally, G.P.S(Global Positioning System) is using for the car navigation system but it has some restrictions such as the discontinuity of earth satellites and SA (Selective Availability). Recently, the hybrid navigation system combining with G.P.S and Dead-reckoning are much attractuve for improving the accuracy of a vehicle positioning. G.P.S called satellite navigation system, can measure its position by using satellites. Dead-Reckoning is the self-contained navigatioin system using a wheel sensor for the vehicle velocity and a gyro sensor for the vehicle angular velocity. Some algorithm could be generated for finding the vehicle position and orientation. In this paper, we developed a hybrid algotithm wiht G.P.S DR and Map-Matching.

• Journal of Game and Entertainment
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• v.2 no.1
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• pp.35-44
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• 2006

Objective of this study is to develop a 3D car navigation system that shows the driving direction to a destination through real-time 3-D panoramic views of the route. For the purpose, a new searching process was established to find the optimal driving direction based on the driver's current location and the real-time traffic situation and the TIP (tour into the picture) method was extended to implement a wide virtual environment. A virtual environment was built up by applying the extended TIP method to the panoramic images taken at a constant distance from a real road, and then, displayed 3-D navigation as clear as the real images. The car navigation system developed in this study provides the optimal driving direction and real-time traffic situation using 2-D navigation module and 3D navigation module.