• International Journal of Automotive Technology
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• 제7권6호
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• pp.703-714
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• 2006

The growing concern surrounding rollover incidences and consequences of Sports Utility Vehicles(SUV) have prompted to investigate the sensitivity of critical vehicle parameters on rollover. In this paper, dynamic rollover simulation of Sports Utility Vehicles is carried out using a validated nonlinear vehicle model in Matlab/Simulink. A standard model is considered and critical vehicle parameters like CG height, track width and wheel base are varied within chosen specified limits to study its influence on roll behavior during a Fishhook steering maneuver. A roll stability criterion based on Two Wheel Lift Off(TWLO) phenomenon is adopted for rollover propensity prediction. Further dynamic rollover characteristics of the vehicle are correlated with Static Stability Factor(SSF), Roll Stability Factor(RSF) and Two Wheel Lift Off Velocity(TWLV). These findings will be of immense help to SUV chassis designers to determine safety limits of critical vehicle parameters and minimize rollover incidences.

• 자동차안전학회지
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• 제5권1호
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• pp.69-74
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• 2013

LKAS(Lane Keeping Assistance System) main function is to support the driver in keeping the vehicle within the current lane. Therefore, this system is able to reduce the driver workload with assisting the driver during driving. In this paper, we presented on study for test procedures and evaluation methods of the LKAS. The vehicle test conducted on straight road, left curve, right curve and four different types of lane under various vehicle speeds. This study proposed the LKAS system test procedures and methods that we are able to identify LKAS driving mechanism and performance.

• 전기학회논문지
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• 제64권10호
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• pp.1528-1534
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• 2015

This paper designed the railway vehicle running device with a proto-type for the railway vehicle maintenance training and developed a propulsion control device simulator equipped the imitation steering wheel. In addition, this paper applied a multi-thread technology in order to implement the staged fault and the propulsion control device protected operation test and an implementation of the failure that occur in actual rail vehicle and confirm the validity as the propulsion control device simulator for the maintenance training.

• 대한임베디드공학회논문지
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• 제6권3호
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• pp.132-138
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• 2011

This paper presents an intelligent control approach for lateral position control of an autonomous four wheel steered snowplowing robotic vehicle. The vehicle is built for removing snow on the highway. Dynamics of the vehicle is derived and linearized for LQR control. Lateral position is controlled by the LQR method first, then the neural network control technique is introduced to improve tracking performances under the presence of load. The feasibility of using four wheel steering control is investigated by simulation studies of lateral position tracking of the Ford F-250 truck model. Performances of a LQR control method and a neural network control method under virtual snowplowing situation are compared.

• 한국정밀공학회지
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• 제14권9호
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• pp.130-138
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• 1997

In this study, to improve the ride and handling characteristics of the vehicle whose hard points have been already fixed, a tuning method of load spring, damper and stabilizer bar is described. For the suspension system of vehicle, optimized design is necessary to satisfy the incompatible two dynamic characteristics which are the ride isolation property between unsprung mass and sprung mass to reduce the excitation from the road and the accurate correring response property to specific steering inputs. To accomplish above aims, we may approach by experimental method, but it requires to sacrifice much time and cost. This paper, therefore, provides a process of suspension development to improve the ride and handling properties by using computer simulation with saving time and cost, and as results, comparaes the dynamic characteristics of the tuned vehicle with the base vehicle not tuned.

• 자동차안전학회지
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• 제15권3호
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• pp.17-26
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• 2023

This paper presents extended state feedback control based on impulse response for lane change of autonomous driving vehicle. The triple characteristic root of path tracking system and longitudinal velocity determine feedback gains. We suggest a resemblance of impulse response curve of the system and lane change trajectory of the vehicle. The root affects the duration of lane change and lateral acceleration. The effect of limited lateral acceleration and saturation of steering angle will be analyzed and discussed. Finally, simulation results will show the trajectory of lane change based on impulse response under limitation of lateral acceleration.

• Journal of Mechanical Science and Technology
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• 제20권7호
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• pp.981-992
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• 2006

In this paper, a lateral vehicle control using the concept of control configured vehicle (CCV) is presented. The control objectives for the lateral dynamics of a vehicle include the ability to follow a chosen variable without significant motion change in other specified variables. The analysis techniques for decoupling of the aircraft motions are utilized to develop vehicle lateral control with advanced mode. Vehicle lateral dynamic is determined to have the steering input and control torque input. The additional vehicle modes are also defined to using CCV concept. We use right eigenstructure assignment techniques and command generator tracker to design a control law for an lateral vehicle dynamics. The desired eigenvectors are chosen to achieve the desired decoupling (i.e., lateral direction speed and yaw rate). The command generator tracker is used to ensure steady-state tracking of the driver's command. Finally, the developed design is utilized by using the lateral vehicle dynamic with four wheel.

• 제어로봇시스템학회논문지
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• 제12권10호
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• pp.1002-1011
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• 2006

In this paper, a lateral vehicle control using the concept of control configured vehicle(CCV) is presented. The control objectives for the lateral dynamics of a vehicle include the ability to commend a chosen variable without significant motion change in other specified variables. The analysis techniques fur decoupling of the aircraft motions are utilized to develop vehicle lateral control with advanced mode. Vehicle lateral dynamic is determined to have the steering input and control torque input. The additional vehicle modes are also defined to using CCV concept. We use right eigenstructure assignment techniques and command generator tracker to design a control law for an lateral vehicle dynamics. The desired eigenvectors are chosen to achieve the desired decoupling(i.e., lateral direction speed and yaw rate). The command generator tracker is used to ensure steady-state tracking of the driver's command. Finally, the developed design is utilized by using the lateral vehicle dynamic with four wheel.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2018년도 춘계학술대회
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• pp.468-469
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• 2018

본 연구는 자동차 조향제어 시스템에 적용 가능한 CNN(Convolutional Neural Network)을 설계하고자 한다. CNN은 현재 많은 분야에서 폭넓게 사용되고 있으며, 특히 영상 분류(image classification) 작업에 있어 매우 뛰어난 성능을 나타내고 있다. 그러나 이러한 CNN이 함수를 근사하는 회귀(regression) 문제에서는 많이 적용되지 못하고 있다. 이는 CNN의 입력으로 이미지 데이터와 같은 다차원적인 데이터 구조로 되어 있어 일반적인 제어 시스템의 적용이 쉽지 않기 때문이다. 최근 들어 자율주행차에 관해 연구가 활발히 진행되고 있으며, 자율주행차를 구현하기 위해 많은 기술이 요구된다. 이를 위해 차량에 장착된 블랙박스의 영상 이미지를 사용하여 차선을 검출하고 검출된 차선에 따라 소실점 등을 검출하여 자율주행차를 제어하는 연구가 많이 진행되었다. 그러나 소실점 검출에 있어 영상 이미지의 외부 환경, 순간적인 차선의 소실 그리고 반대편 차선의 검출 등 여러 요인으로 인하여 안정적인 소실점 검출에 어려움이 있다. 본 연구에서는 자동차에서 촬영된 블랙박스 영상 이미지를 입력받아 자율주행차의 조향제어를 위해 CNN을 적용해 보고자 한다.

• 한국항공우주학회지
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• 제33권10호
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• pp.104-110
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• 2005

본 논문에서는 보다 빠른 속도의 무인주행과 이를 가능케하는 안전한 항법구현에 주력하여 시스템을 개발하고 알고리즘을 적용한 결과를 보이고 있다. 또한 본 논문에서는 9개의 초음파 센서를 사용하여 가상역장 알고리즘을 적용한 험로주행용 차량의 무인주행에 적용한 시스템의 구성과 적용방법을 기술하고 실차실험을 통한 시스템의 성능과 향후 연구방향을 제시하였다.