• The Journal of Korean Institute of Communications and Information Sciences
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• v.40 no.11
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• pp.2252-2260
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• 2015

In this paper, we propose a vehicular cooperative navigation system using GNSS, vision sensor and radar sensor that are frequently used in mass-produced cars. The proposed cooperative vehicular navigation system is a variant of the Hybrid-Sum Product Algorithm over Wireless Network (H-SPAWN), where we use vision and radar sensors instead of radio ranging(i.e.,UWB). The performance is compared and analyzed with respect to the sensors, especially the position estimation error decreased about fifty percent when using radar compared to vision and radio ranging. In conclusion, the proposed system with these popular sensors can improve position accuracy compared to conventional cooperative navigation system(i.e.,H-SPAWN) and decrease implementation costs.

• Journal of Advanced Navigation Technology
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• v.11 no.1
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• pp.1-8
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• 2007

Loran-C of ground transmitting station base that can prevent confusion of country navigation system and give BACK-UP function about electric wave navigation comparing utilization incapability state about GPS(Global Positioning System) infra that user is spreading rapidly over our society whole such as sea/aviation safety, vehicles navigation, minuteness agriculture, minuteness measurement in this treatise practical use of Loran-C navigation propose. Executed ASF(Additional Secondary Phase Factor) production and an application experiment Loran-C by location error improvement way to enhance practical use value. By the result Loran-C in conclusion that can improve location error 100~400m remarkably by 10~65m reach. Also, production extent is latitude when go composition medium and bends cotton at ASF revision table utilization of land area, this smell is judged to be suitable hardness 10 minutes. And notable location error improvement and numeric of GPS BACK-UP function are judged to be possible at a ASF revision table application to Korea Peninsula whole area hereafter.

• Archives of design research
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• v.13 no.1
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• pp.59-66
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• 2000

The more the function of Car Navigation System (CNS) is getting more various and high-grade, the more functions are necessary for a user to use simply and dearly from a user. But now the using CNS's a using circumstances is not satisfied with these requirements. In this paper, author analyzed the using circumstances composed of CNS to improve these problems and the function of a competitive company's products, extracted the necessary functions. Then author analyzed objected model and dynamic model by the objective modeling centering around Hyundai Electronic Company's HNK-1 COLD model mounted Hyundai Motor Company Equus vehide. In the Hyundai Electronic Company's HNK-1COLD model mounted Hyundai Motor Company Equus vehide, author analyzed the mental model of user used observation method the user behavior by taking video, and then studied all the functions and restructured the information structure, finally present the interface guide line of a user of CNS.

• Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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• 2006.04a
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• pp.93-98
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• 2006

2008년 서비스 제공을 목표로 진행 중인 유럽의 Galileo 시스템은 최초의 순수 민간 목적으로 제작되는 광역위성항법시스템(GNSS: Global Navigation Satellite System)이다. 현재 GPS의 SA는 제거되었지만, 군사 목적뿐만 아니라 차량 및 항공 항법, 토목 건설 분야, 텔레메틱스를 통한 민간 활용의 증가로 인해 위성측위에 있어 미국의 의존도는 그 어느 때보다 높은 실정이다. 이에 따른 전략적, 기술적 의존은 절대적이며 잠재적인 위험 요소를 포함하고 있다 이에 본 논문에서는 자체 개발한 소프트웨어를 이용하여 향후 제공될 유럽의 Galileo 시스템을 국내 적용 시뮬레이션하였으며 그 결과를 바탕으로 GPS 단독 처리의 한계를 제시하며 이를 극복할 수 있는 대안으로 Galileo 시스템에 대하여 연구하였다. 이를 통하여 러시아의 GLONASS를 포함하여 다원화되어가는 광역위성항법시스템의 안정적인 측위 환경에 대한 연구가 그 목적이다.

• Journal of Advanced Navigation Technology
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• v.14 no.6
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• pp.791-799
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• 2010

In this paper, integrated navigation algorithm is designed for land transport sector which is needed high accuracy and monitoring program is developed for lane departure warning. High accuracy position information which is possible lane separation is needed for lane departure warning, so position detection algorithm based GPS/DR which combine GPS with dead reckoning is proposed. For the verification of the designed integrated navigation algorithm, we drived to acquire data and showed post-processing experiment results with monitoring program. Vehicle driving movie and aerial photograph in monitoring program is designed to show lane keeping and lane separation.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.37 no.2
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• pp.68-78
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• 2000

This paper suggests a new map-matching algorithm for matching traveling trace of vehicle, which is measured by GPS receiver, to the road of a digital map This eventually brings the Improvement of positioning accuracy of the vehicle with GPS receiver After representing the travelling vehicle's motion by state equations using Singer's model, the proposed map-matching algorithm places the position of a vehicle right on the road and also improves the positioning accuracy of the vehicle using a Kalman filter In the crossroad, since it is difficult to determine precisely a current travelling road, we take linear regression to the estimated values from Kalman filtering This gives the direction angle of turning vehicle, then we can determine the correct route direction after comparing with each route-direction angle at the intersection.

• Proceedings of the Acoustical Society of Korea Conference
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• 1998.06c
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• pp.51-54
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• 1998

본 논문에서는 자동차 잡음 환경에서 녹음된 데이터 베이스를 이용하여 인식 시스템의 성능을 향상시키기 위한 효율적인 잡음 제거 방법을 연구하였다. 먼저, 잡음 및 주변 환경 변화에 강인한 것으로 알려져 있는 특징 벡터들의 인식 성능을 비교하교, 가중 켑스트랄 거리 측정 방법을 이용한 인식 실험을 통하여 시스템의 성능 향상을 확인하였다. 실험 결과, 본 논문에서 기준 시스템으로 사용한 LPC 켑스트럼의 경우에 비하여 MFCC나 root-cepstrum을 사용한 경우 인식률이 향상되었다. 켑스트럼간의 거리 측정에 있어서는 RPS와 BPL과 같은 가중 켑스트랄 거리 측정 함수들이 인식 성능 향상에 도움을 주었다. 또한 켑스트럼 평균 차감법이라는 간단한 잡음 제거기술을 적용하여 자동차 잡음 환경에서 인식 성능 향상을 보였다. 마지막으로, 차량 항법용 음성 인식 시스템의 실시간구현을 위하여 여러 경우의 인식 성능을 비교하고, 메모리 량과 실행 시간 등을 고려하여 최적 시스템을 제시하였다.

• Journal of Advanced Navigation Technology
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• v.20 no.4
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• pp.314-320
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• 2016

Inertial navigation system (INS) has used aided systems and sensors to compensate navigation error. Global navigation satellite system (GNSS), velocity measurement sensor (VMS), and radar are commonly used to aid INS. Land navigation system (LNS) also mainly uses VMS when GNSS cannot be used such as at tunnel or on jammed scenario. A straight drive is required when VMS-aided navigation is used, because there is only speed of straight direction whereas no crossways and vertical directions. In local environment, even an expressway has lack of straight drive which is constraint of VMS-aided navigation algorithm. This paper proposes an enhanced VMS-aided navigation algorithm for LNS with indirect drive by restricting filter update condition. Also, there is a result of vehicle test to prove performance of the proposed algorithm.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.33 no.7
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• pp.51-58
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• 2005

In 1990, GPS which had been developed for the military purposes became available to the civilian community. Since then these satellite navigation systems have been used extensively in the industrial areas such as car navigation, airplanes, communications, science and surveying. If we are dependent on GPS, however, there are some foreseeable problems in the areas of national security and sovereignty. Current GPS satellite constellation provides limited performance for the country like Korea and Japan where mountain area and urban canyon do not allow the wide skyline. To solve these problems, many countries plan to make other alternative navigation systems.In this paper, RNSS(Regional Navigation Satellite System) is designed to provide communication service with high elevation angle. It is shown, that system does not only have good navigation performance, but also improve GPS performance in Korea and its neighboring areas.

• 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.