• Proceedings of the KIEE Conference
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• 2015.07a
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• pp.95-96
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• 2015

EPS(Electrical Power Steering) 시스템은 전동기의 설치 위치에 따라 C-EPS(Column-EPS), R-EPS(Rack-EPS), P-EPS(Pinion-EPS)로 나눌 수 있다. 본 논문에서는 농업용 UTV 차량에 적용할 수 있는 C-EPS 시스템의 이론적 모델링과 실험시스템의 설계 및 제작, 그리고 시작품의 실험을 통하여 조향제어 성능을 검증하였다.

• Proceedings of the Korean Society of Machine Tool Engineers Conference
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• 2000.04a
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• pp.194-198
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• 2000

In this paper, we developed a Windows 98 version off-line programming system which can simulate a track vehicle model in 3D graphics space. The track vehicle was adopted as an objective model. The interface between users and the off-line program system in the Windows 98' graphic user interface environment was also studied. The developing language is Microsoft Visual C++. Graphic libraries, OpenGL, by Silicon Graphics, Inc. were utilized for 3D graphics.

• 제어로봇시스템학회:학술대회논문집
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• 2000.10a
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• pp.305-305
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• 2000

In this paper, we developed a Windows 98 version off-line programming system which can simulate a track vehicle model in 3D graphics space. The track vehicle was adopted as an objective model. The interface between users and the off-line program system in the Windows 98's graphic user interface environment was also studied. The developing language is Microsoft Visual C++. Graphic libraries, OpenGL, by Silicon Graphics, Inc. were utilized for 3D Graphics.

• Proceedings of the Korea Information Processing Society Conference
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• 2017.11a
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• pp.899-900
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• 2017

본 논문에서는 도로주행 영상 내에서 차선을 검출하는 알고리즘을 제안한다. 제안하는 알고리즘은 차량 내부 카메라로 촬영된 영상에 대하여 바타차야 거리를 이용해 차선 후보 영역을 검출한다. 검출된 영역에 대해 도로와 차선의 레퍼런스 RGB 값과의 바타차야 거리를 이용해 분류한 뒤, 차선이 갖는 특징을 모델링하여, 분류된 영역에서 차선으로 추정되는 영역만을 남긴다. 차선 영역 세그먼트의 흰 차선과 노란 차선의 클래스와의 유사도를 계산하여 검출된 차선정보를 제공한다.

• ICROS
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• v.21 no.4
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• pp.21-26
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• 2015

지능형 시스템의 수요가 증가하면서 영상인식의 중요성이 부각되고 있다. 사람이 직접 물체 인식 과정을 모델링하는 방식을 넘어 최근에는 기계학습을 이용하여 이를 자동화하는 방법이 주를 이루고 있다. 그 중 딥러닝은 빅데이터를 활용하는 각종 분야에서 놀라운 성능을 보이며 기계학습 수준을 한 단계 진화시킨 기술로 평가 받고 있으며 영상 인식의 다양한 분야에서 응용되고 있다. 본 글에서는 딥러닝을 이용한 물체 검출 기법의 동향을 살펴보고 이를 차량 전면부 인식에 적용한 사례를 소개한다.

• Journal of Internet Computing and Services
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• v.20 no.2
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• pp.51-59
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• 2019

In this paper, we analyzed the relationship between charging operation system and electricity charges connected with charging infrastructure among data of many demonstration projects focused on electric vehicles recently. At this point in time, due to the rapid increase in demand for the electric charging infrastructure that will take place in the future, we can prepare for an upcoming era in the sense of forecasting the demand value. At the same time, demonstrating and modeling optimized system modeling centering on sites is a prerequisite. The modeling based on the existing small - scale simulation and the design of the operating system are based on the data linkage analysis. In this paper, we implemented a new optimized system modeling and introduced it as a standard format to analyze time - dependent time - divisional data for each vehicle and user in each point and node. In order to verify the efficiency of the optimization based on the data linkage analysis for the actual implemented electric car charging infrastructure and operation system.

• Journal of the Korea Convergence Society
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• v.8 no.12
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• pp.291-298
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• 2017

In recent years, the increase of secondary controls within vehicles requires a mechanism to integrate various controls into a single device. This paper presents control performance of an integrated magnetorheological (MR) haptic device which can adjust various in-vehicle comfort instruments. As a first step, the MR fluid-based haptic device capable of both rotary and push motions within a single device is devised as an integrated multi-functional instrument control device. Under consideration of the torque and force model of the proposed device, a magnetic circuit is designed. The proposed MR haptic device is then manufactured and its field-dependent torque and force are experimentally evaluated. Furthermore, an inverse model compensator is synthesized under basis of the Bingham model of the MR fluid and torque/force model of the device. Subsequently, haptic force-feedback maps considering in-vehicle comfort functions are constructed and interacts with the compensator to achieve a desired force-feedback. Control performances such as reflection force are experimentally evaluated for two specific comfort functions.

• Journal of the Korean Institute of Intelligent Systems
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• v.23 no.3
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• pp.268-274
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• 2013

Any new method for controlling a nonlinear system has widely been reported. An inverted pendulum system has typically been used as a target system for demonstrating its usefulness. In this paper, we propose an algorithm to control a flexible joint cart based inverted pendulum system. Two carts are connected with a spring and one is a driving cart and the other is no driving cart with a pole. We here present a system modeling and a good fuzzy logic based control algorithm. We also introduce LQR (Linar Quadratic Regulator) technique for reducing the number of control variables. By using this technique, the number of input variables for a fuzzy logic controller is become only two not six. So the computational complexity is largely reduced. Moreover, a two-input fuzzy logic controller has a control rule table with a skew-symmetric property. And it will lead the design of a single-input fuzzy logic controller. In order to demonstrate the usefulness of the proposed method and prove the superiority of the proposed method, some computer simulations are presented.

• Korean Journal of Remote Sensing
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• v.31 no.3
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• pp.267-279
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• 2015

In the development of autonomous vehicles, the importance of LIDAR sensors becomes larger. For sensor selection or algorithm development, it is difficult to test expensive LIDAR sensors mounted on a vehicle under various driving environment. In this study, we developed a simulator that is generally applicable for various vehicle LIDAR sensors based on the generalized geometric modeling of the common processes associated with vehicle LIDAR sensors. By configuring this simulator with the specific sensors being widely used, we performed the data simulation and quality analysis. Also, we applied the simulation data to obstacle detection and evaluated the applicability of the selected sensor. The developed simulator enables various experiments and algorithm development in parallel with hardware implementation prior to the deployment and operation of a sensor.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.1
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• pp.807-813
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• 2015

The CWR(Continuous Welded Rail) on a bridge shows complex structural behavior compared to those on the roadbed. The influence factors on the track-bridge interaction are the variation of temperature and vehicle load. The analysis methods for track-bridge interaction, material property, modeling method, loads and combination method are indicated in the domestic railway design principle, KR C-08080. The vehicle load in KR C-08080 was changed in 2014. In this study, to evaluate the effect of the changed vehicle load on the track-bridge interaction, the track-bridge interaction analyses were performed for 22 bridges by using finite element method.