• Journal of the Korean Institute of Intelligent Systems
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• v.18 no.6
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• pp.775-780
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• 2008

In this paper, unmanned driving of robotic vehicle using magnetic marker is proposed. One of the most important component of autonomous vehicle is to detect the position of a magnetic marker on the road. In order to calculate the precise position of a magnet embedded on the road, the relation of magnetic field and a sensor is analyzed, and a new position sensing system using arrayed magnetic sensor is proposed. Also, the steering control system using a stepping motor is developed for driving by automatic mode as well as manual mode. For the verification of usability, the developed robotic vehicle is tested on magnetic road.

• The Journal of the Korea institute of electronic communication sciences
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• v.17 no.4
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• pp.687-694
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• 2022

In this paper, we proposed an autonomous vehicle platform that delivers goods to a designated destination based on the SLAM (Simultaneous Localization and Mapping) map generated indoors by applying the Visual SLAM technology. To generate a SLAM map indoors, a depth camera for SLAM map generation was installed on the top of a small autonomous vehicle platform, and a tracking camera was installed for accurate location estimation in the SLAM map. In addition, a convolutional neural network (CNN) was used to recognize the label of the destination, and the driving algorithm was applied to accurately arrive at the destination. A prototype of an indoor delivery autonomous vehicle was manufactured, and the accuracy of the SLAM map was verified and a destination label recognition experiment was performed through CNN. As a result, the suitability of the autonomous driving vehicle implemented by increasing the label recognition success rate for indoor delivery purposes was verified.

• ICROS
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• v.21 no.1
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• pp.31-36
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• 2015

운전자에게 편의성을 제공하는 차량의 주행관련 Advanced driver assist system (ADAS)에는 차량의 종방향과 횡방향 운동에 대한 제어기가 요구된다. 횡방향 제어를 위해서는 조향 시스템의 조향각 제어가 요구되는데 최근 구조적으로 간단하고 연비향상, 차량의 중량 감소, 빠른 응답성을 가지고 있는 전기적 파워 조향 (Electric power steering, EPS) 시스템이 자동차 산업에서 널리 사용되고 있다. 차량의 주행관련 ADAS를 사용하여 자율 주행 시 EPS 시스템은 상위 제어기에서 계산된 필요한 조향각을 추종 할 수 있도록 조향 핸들의 각 제어를 해야 한다. 그러나 일반적인 EPS 시스템은 운전자가 조향 핸들에 인가된 토크를 보조해 줄 수 있는 토크를 출력해 준다. 본 논문에서는 이러한 문제를 해결하는 방법들을 설명한다. 먼저 EPS 시스템의 기본 기능에 대해서 설명을 하고, 자율 추행 차량을 위한 조항 핸들의 각 제어를 위한 proportional-integral 제어, 슬라이딩 모드 제어 (Sliding mode control), 관측기 기반 비선형 댐핑 제어(Observer based nonlinear damping control) 등과 같은 다양한 기법의 제어 알고리즘들에 대한 방법들이 고찰되었다.

• Proceedings of the KIEE Conference
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• 2007.07a
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• pp.1748-1749
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• 2007

활선차량의 붐 끝단에 탑재되어 있는 로봇의 기준좌표계는 활선차량의 접근 위치와 붐의 확장 길이 및 각도에 따라 달라지므로 작업대상물과 로봇 사이의 상대 위치를 찾아내어 설정된 작업 경로를 보정하여야만 한다. 본 논문에서는 작업대상물인 애자 영상으로부터 카메라를 보정하는 기법을 제시하여 활선작업 차량의 붐 끝단에 장착된 로봇의 위치 및 자세를 측정할 수 있도록 하였다. 이를 위하여 핀홀 카메라 모델을 적용하였으며 원기둥 형태의 애자 영상으로부터 카메라 내부 파라미터 및 외부 파라미터를 추출하였다. 제시된 기법은 시뮬레이션을 통하여 효용성을 입증하였다.

• ICROS
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• v.7 no.6
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• pp.26-31
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• 2001

• ICROS
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• v.7 no.3
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• pp.33-44
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• 2001

• ICROS
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• v.6 no.4
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• pp.10-19
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• 2000

• ICROS
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• v.6 no.4
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• pp.20-27
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• 2000

• Transactions of the Korean Society of Mechanical Engineers A
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• v.35 no.8
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• pp.905-912
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• 2011

In order to protect equipment such as controllers, it is important to improve the driving stability of $6{\times}6$ skidsteering vehicles driven on rough roads. The estimation and improvement of the driving stability should be based on the vertical acceleration, roll acceleration, and pitch acceleration. These variables will be used to achieve multivariable control and increase the vehicle driving stability. In this study, to improve vehicle stability by reducing the vertical acceleration, roll angular acceleration, and pitch angular acceleration, the skyhook control method is employed to control MR(Magnetorheological) dampers equipped with the vehicle. The proposed control system is tested in multibody dynamic simulation.

• Journal of the Institute of Electronics and Information Engineers
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• v.51 no.10
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• pp.180-189
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• 2014

For a autonomous parking of unmanned car, this paper proposes a posture regulation algorithm of a car-like mobile robot, which is supported by a docking formation and a feedback linearization control law. Unlike the previous researches based on a path-planning and optimization algorithms, the autonomous car implemented the proposed autonomous parking algorithm can be parked without much computational burden and a high performance processor. Stability of the proposed docking formation and feedback linearization control law are analyzed and performance of the proposed algorithm is shown by implementing to the simulations with six scenarios and an actual car in the experiment place.