• Journal of information and communication convergence engineering
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• v.9 no.4
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• pp.447-451
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• 2011

Recently, various in-vehicle networks have been developed respectively in order to accomplish their own purposes such as CAN and MOST. Especially, the MOST network is usually adapted to provide entertainment service. The car navigation system is also widely used for guiding driving paths to driver. The position for the navigation system is usually acquired by GPS technology. However, the GPS technique has two serious problems. The first is unavailability in urban canyons. The second is inherent positional error rate. The problems have been studied in many literatures. However, the second still leads to incorrect locational information in some area, especially parallel roads. This paper proposes a performance tuning method of image matching algorithm for the car navigation system. The method utilizes images obtained from in-vehicle MOST network and a real-time image matching algorithm which determines the direction of moving vehicle in parallel section of road. In order to accuracy improvement of image matching algorithm, three conditions are applied. The experimental tests show that the proposed system increases the accuracy.

• Journal of Institute of Control, Robotics and Systems
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• v.19 no.8
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• pp.745-754
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• 2013

An efficient urban outdoor localization and navigation system is proposed for car-like robots. First an accurate outdoor localization method is suggested using line/arc features and 2.5D map matching with LRFs (Laser Range Finders), which can reduce the number of singular cases and increase accuracy. Also, path generation, path tracking, and path modification algorithms are proposed for navigation. All these algorithms are implemented on an electric scooter to construct an autonomous urban outdoor localization and navigation system. Experiments reveal the practicality of the proposed system.

• ETRI Journal
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• v.29 no.5
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• pp.688-690
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• 2007

This letter presents a filter for a car navigation system integrating a low-grade inertial measurements unit (IMU) and a global positioning system receiver. The filter is designed according to the state variables to be estimated and the usable measurements. The usable measurements change from case to case, and the estimative state variables also change due to the measurements; therefore, multiple models must be used for real environmental maneuvers. In this letter, four models for land navigation are chosen and switched by rearranging the system matrix and resetting the error covariance matrices.

• Journal of the KSME
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• v.44 no.4
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• pp.69-74
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• 2004

Navigation이라고 하는 용어는 매우 다양한 분야에서 여러 가지 의미로 사용되고 있다. 예를 들어, 차량에 장착되어 운전자에게 지리 및 교통정보를 알려 주는 car navigation system, 미사일 등의 비행체가 원하는 곳으로 이동하기 위한 navigation system, PDA나 휴대폰 등 potable 전자기기의 입력을 위한 Pen입력장치에 사용되는 Pen궤적 추적 장치, 개인의 운동량을 측정하거나, 해저탐사, 등산 시 사용되는 personal navigation system, 가상현실게임 등 매우 다양한 분야에서 navigation 기술이 사용되고 있다.(중략)

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.43 no.4 s.310
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• pp.67-72
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• 2006

A car became that is essential already, and enjoy convenient benefit still more according as car skill is developed in modern's life. But, threaded other additional systems to use a car little more conveniently and representative thing is Navigation. Current Navigation system is not escaping greatly in mechanical system that do only unilateral guidance. Wish to propose about intelligence style Navigation that foretell driver's inclination and guide correct route to him because this treatise takes advantage of fuzzy logic. Verify algorithm that propose oriented Navigation algorithm the future that do path guidance by user's inclination within extent that do not escape greatly in most important final cause fast path proposition of Navigation and is proposed through an experiment.

• Journal of Korean Society for Geospatial Information Science
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• v.16 no.3
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• pp.29-34
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• 2008

Demand for car navigation systems has been an explosive increase because of prevalence of owner-drivers, spare time spread, and so on. In addition, car navigation systems are achieving a rapid growth to be the important part of telematics industry with services such as real-time traffic information and DMB(Digital Multimedia Broadcasting). The network data, one of the composition components in car navigation systems, is most important component because that is abstract of real world road network and base data in pathfinding. However most of the car navigation systems have been stand-alone system. Thus user's network data becomes outdated according to the time passing and does not reflect the change of road information in real world. To overcome this problem, users have to update network data in car navigation systems periodically. This method is quite cumbersome process. For this reason, this study proposed a new update method to serve the difference network data on user's device and the real world in real time, and simulated to verify.

• 제어로봇시스템학회:학술대회논문집
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• 1996.10b
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• pp.884-887
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• 1996

This paper describes a GPS/DR integration filter for a car navigation system. A new GPS/DR integration filter is derived for obtaining more accurate and reliable position data. The covariance analysis results and simulation results are shown for evaluating the performance of the proposed GPS/DR integration filter.

• Journal of Navigation and Port Research
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• v.32 no.4
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• pp.295-304
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• 2008

In order to achieve a sustainable competitive advantage in the expanding maritime transportation market, most shipping companies are making every effort to reduce transportation costs. Likewise, the car shipping companies, which carry more than 80% of total car import and export logistics volume, also do their utmost for transportation cost saving. Until now many researches have been made for efficient maritime transportation, but studies for car shipping companies have rarely been made. For this reason, this study has tried to develop a maritime transportation planning support system which can help to save logistics costs and increase a competitive power of car shipping companies. To this end, instead of manual effort to solve the routing problem of car carrier vessels, this study has used an integer programming model to make an optimal transportation planning at the minimum cost. Also in response to the frequent changes both in the car production schedule and ship's arrival schedule after the completion of transportation planning, this research has developed a decision support system of maritime transportation, so that users can easily modify their existing plans.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2021.11a
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• pp.19-20
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• 2021

Domestic car ferries do not operate a dedicated information system for cargo loading and management, It is impossible to arrange according to the cargo type and quantity at the time of cargo reservation due to restrictions such as the need to comply with the cargo layout drawings in advance approved by the Korean Register. For this reason, this is a study to utilize similar information systems in operation in container ships and terminals for the purpose of improving cargo shipment management tasks for car ferries.

• 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.