• 대한전기학회:학술대회논문집
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• 대한전기학회 1999년도 하계학술대회 논문집 G
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• pp.2962-2964
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• 1999

We know the traffic information about the velocity and position of vehicle by extraction and tracking vehicle from continuosly obtained road image of camera. The conventional method of vehicle detection indicate increment of error due to headlight and taillight in night road image. This paper show such as vehicle detection of binary, Edge detection. amalgamation of image are applied to extract the vehicle, and Kalman filter is adaptive methods for tracking position and velocity of vehicle.

• 한국도로학회논문집
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• 제18권3호
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• pp.115-125
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• 2016

PURPOSES : This study proposes a methodology to collect data necessary for microlevel emission estimation, such as second-by-second speeds and road grades, and to accordingly estimate emissions. METHODS : To ease data collection for microlevel emission estimation, a vehicle equipped with speed- and location-recording instruments as well as equipment for measuring road geometry was used. As a case study, this vehicle and the proposed methodology were used on a 10-km-long highway in Yongin City, Korea. Emissions from the vehicle during driving were estimated in various microscale driving conditions. RESULTS : Differences in the estimated emission under different microscale driving conditions cannot be ignored. Compared with the estimations obtained when second-by-second data were not considered, CO and NOx emissions were more than threefold higher when considering second-by-second speed; similarly, CO and NOx emission estimations were higher by approximately 10% and 3%, respectively, when considering second-by-second road grade. CONCLUSIONS : The proposed method can estimate vehicle emissions under real-world driving conditions in such applications as road design and traffic policy assessments.

• 한국자동차공학회논문집
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• 제18권4호
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• pp.92-98
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• 2010

Virtual ground modeling is one of key topic for real-time vehicle dynamic simulation. This paper discusses about the virtual 3D road modeling process using parametric surface concept. General road data is a type of lumped position vector so interpolation process is required to compute contact of internal surface. The parametric surface has continuity and linearity within boundaries and functions are very simple to find out contact point. In this paper, the parametric surface formula is adopted to road modeling to calculate road hight. Position indexing method is proposed to reduce memory size and resource possession, and a simple mathematical method for contact patch searching is also proposed. The developed road process program is tested in dynamic driving simulation on off-road. Conclusively, the new virtual road program shows high performance of road hight computation in vast field of off-road simulation.

• 한국통신학회논문지
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• 제40권2호
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• pp.349-354
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• 2015

본 논문은 차량감지를 위해 자기센서를 이용하여 자기신호를 측정하고 형상을 분석한 결과에 관한 것이다. 자기센서는 하니웰사의 MR센서를 이용하였고, 센서의 성능을 알아보기 위해 3축의 길이가 1.2 m인 자기장 발생장치를 제작하여 자기장 감지능력을 측정하였다. 차량감지는 주행차로와 비 주행차로에 센서를 설치한 후 감지여부와 차체의 크기가 다른 7개 차량에 대해서 자기장을 측정하였다. 또한 SUV와 소형 차량의 주차구역과 비 주차구역에 센서를 설치하고 자기장 형상을 분석하였다. 마지막으로 차량의 각 부분별 자기장 형상을 측정하였다. 측정 결과 주행차로에 자기장 형상은 비 주행차로의 경우보다 자기장 첨두치가 크며 복잡한 형상을 보여 센서의 설치 위치로 주행차로와 주행차의 방향을 구분할 수 있었으며, 차체가 클수록 자기장의 변화가 커서 차량 종류를 식별할 수 있었다. 또한 차량의 각 부분별 자기장의 변화를 측정하여 형상을 분석하였다.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2003년도 ICCAS
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• pp.282-285
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• 2003

Two criteria of good vehicle suspension performance are typically their ability to provide good road handling and increased passenger comfort. So far, The existing active vehicle suspension uses pneumatic and hydraulic actuators that enhance road handling and passenger comfort. But these kinds of actuators have nonlinear characteristic less than an electromagnetic motor. In this research, we are trying to examine the feasibility and the experiment of an active vehicle suspension using electromagnetic motor in order to enhance the ride quality because existing active vehicle suspension using active power sources such as compressors, hydraulic pumps has nonlinear characteristic. Active vehicle suspension using electromagnetic motor will have the ability to behave differently on smooth and rough roads. The desired response should be soft in order to enhance ride comfort, but when the road surface is too rough the suspension should stiffen up to avoid hitting its limits.

• Interaction and multiscale mechanics
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• 제3권4호
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• pp.299-308
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• 2010

The indirect approach for measuring the bridge frequencies from the dynamic responses of a passing vehicle is a highly potential method. In this study, the effect of road surface roughness on such an approach is studied through finite element simulations. A two-dimensional mathematical model with the vehicle simulated as a moving sprung mass and the bridge as a simply-supported beam is adopted. The dynamic responses of the passing vehicle are solved by the finite element method along with the Newmark ${\beta}$ method. Through the numerical examples studied, it is shown that the presence of surface roughness may have negative consequence on the extraction of bridge frequencies from the test vehicle. However, such a shortcoming can be overcome either by introducing multiple moving vehicles on the bridge, besides the test vehicle, or by raising the moving speed of the accompanying vehicles.

• 한국자동차공학회논문집
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• 제13권4호
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• pp.19-25
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• 2005

This paper presents a lateral control system for the autonomous navigation vehicle that was developed and tested by Robotics Centre of Ecole des Mines do Paris in France. A robust lane detection algorithm was developed for detecting different types of lane marker in the images taken by a CCD camera mounted on the vehicle. $^{RT}Maps$ that is a software framework far developing vision and data fusion applications, especially in a car was used for implementing lane detection and lateral control. The lateral control has been tested on the urban road in Paris and the demonstration has been shown to the public during IEEE Intelligent Vehicle Symposium 2002. Over 100 people experienced the automatic lateral control. The demo vehicle could run at a speed of 130km1h in the straight road and 50km/h in high curvature road stably.

• 한국소음진동공학회논문집
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• 제16권10호
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• pp.1067-1073
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• 2006

In this paper, we present noise measurement results of 8 vehicles. The measurement was done by a close proximity method attaching surface microphones on the test vehicle. For the 9 road surface types constructed at Korean highway test road, the vehicles were tested from 50 to 120 km/h at the interval of 10 km/h in normal steady state and inertia cruising conditions. Using the results, we evaluate and discuss the effect of vehicle noise generation depending on the different conditions for vehicle type, speed, road surface and loading condition, especially focused on friction noise between tyre and road surface.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2006년도 춘계학술대회논문집
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• pp.428-433
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• 2006

In this paper, we present noise measurement results of 8 vehicles. The measurement was done by a close proximity method attaching surface microphones on the test vehicle. For the 9 road surface types constructed at Korean highway test road, the vehicles were tested from 50 to 120 km/h at the interval of 10 km/h in normal steady state and inertia cruising conditions. Using the results, we evaluate and discuss the effect of vehicle noise generation depending on the different conditions for vehicle type, speed, road surface and loading condition, especially focused on friction noise between tyre and road surface.

• 한국지리정보학회지
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• 제11권3호
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• pp.68-79
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• 2008

한국건설기술연구원(KICT)에서는 도로의 안전성 분석을 위해서 도로의 각종 정보를 이동하는 차량을 이용하여 신속하게 취득하고, 이를 토대로 도로의 결함구간을 분석할 수 있는 도로 안전성 조사 분석 차량(RoSSAV, Road Safety Survey and Analysis Vehicle)을 개발하였다. 본 연구를 통해 도로의 안전성에 의심이 되는 지역에 대해서 3차원 도로 모델링을 통한 도로 선형 결함 알고리즘을 개발하였으며, 이를 위해서는 신속하고 정확한 데이터가 수집되어야 한다. 차량에 회전식 레이저 스캐너, GPS(Global Positioning System), INS(Inertial Navigation System), CCD(Charge-Coupled Device) 카메라 그리고 DMI(Distance Measuring Instrument) 등 여러 센서를 장착하여 데이터를 취득하였다. 마지막으로 이들 데이터를 통합하여 3차원 도로 기하(도로 중심선, 도로 경계선), 도로 시설물과 사면을 추출하였다.