• Title/Summary/Keyword: 주차시스템

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Performance Analysis of Electronic Parking Brake (전자 제어식 주차브레이크(EPB)의 성능분석)

  • Kim, Sung-Mo;Jeong, Jong-Yeol;Shin, Chang-Woo;Lim, Won-Sik;Cha, Suk-Won
    • Journal of the Korean Society of Manufacturing Technology Engineers
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    • v.20 no.6
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    • pp.751-755
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    • 2011
  • Electric Parking Brake(EPB) is the system operated by electric control actuator. It differs from the mechanical parking brake system which is operated by lever and pedal in need of human power. The EPB system is composed of DC motor, helical and differential epicyclic gear, screw, cables, and sensor. This paper describes about the EPB system mathematically and constructs a modeling of the EPB system using MATLAB/SIMULINK. Especially, SimMechanics library in SIMULINK is used to make each parts of system a module. By made modeling of the friction torque between bolt and nut. Cable tension can be maintained after the motor operating stops.

Autonomous Parking of a Model Car with Trajectory Tracking Motion Control using ANFIS (ANFIS 기반 경로추종 운동제어에 의한 모형차량의 자동주차)

  • Chang, Hyo-Whan;Kim, Chang-Hwan
    • Journal of the Korean Society for Precision Engineering
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    • v.26 no.12
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    • pp.69-77
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    • 2009
  • In this study an ANFIS-based trajectory tracking motion control algorithm is proposed for autonomous garage and parallel parking of a model car. The ANFIS controller is trained off-line using data set which obtained by Mandani fuzzy inference system and thereby the processing time decreases almost in half. The controller with a steering delay compensator is tuned through simulations performed under MATLAB/Simulink environment. Experiments are carried out with the model car for garage and parallel parking. The experimental results show that the trajectory tracking performance is satisfactory under various initial and road conditions

Design of Automatic Shoes Tower Using NFC (NFC를 이용한 자동 신발 타워 설계)

  • Jang, Eun-Gyeon;Ann, So-Hyeon;Yim, Dae-Geun;Kim, Yu-Bin;Yu, Seung-Su
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2018.07a
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    • pp.295-296
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    • 2018
  • 본 논문은 입 출차를 하는 주차타워의 원리를 바탕으로 NFC를 활용하여 신발을 반 출입하고, IoT 센서를 이용하여 신발의 관리를 편리하게 도와주는 자동 신발타워이다. 수동으로 번호를 입력하던 주차타워와는 다르게 제안한 신발타워는 NFC에 있는 고유ID값을 활용하여 인증된 사용자가 신발장의 센서 터치로 본인의 신발을 반 출입하도록 한다. 신발장 관리 시스템은 신발의 임의적인 반출을 가능하게 하며, IoT센서를 탑재하여 신발장 내부에 향균, 건조, 온도 조절 등의 효과를 탑재하여 신발의 관리를 편리하게 도와주는 기능들을 제공한다.

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Development of Control System for Autonomous Parallel Parking (자율적 평행주차 제어시스템의 개발)

  • 손민혁;부광석;송정훈;김흥섭
    • Transactions of the Korean Society of Automotive Engineers
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    • v.11 no.5
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    • pp.176-182
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    • 2003
  • The researches for autonomous vehicle have been implemented in many studies, but most studies were confined to the lane fol1owing and changing. This paper addresses a problem of autonomous lane following parking a nonholonomic vehicle. The algorithm for image processing by the hough transform and controlling a steering angle and speed to park a nonholonomic vehicle is developed. The developed system which integrated the control algorithm for parking and vision algorithm for line traction tested with RC car and verified by the performance of the detection of parking area and the reactive parking without collisions.

Classification of Sides of Neighboring Vehicles and Pillars for Parking Assistance Using Ultrasonic Sensors (주차보조를 위한 초음파 센서 기반의 주변차량의 주차상태 및 기둥 분류)

  • Park, Eunsoo;Yun, Yongji;Kim, Hyoungrae;Lee, Jonghwan;Ki, Hoyong;Lee, Chulhee;Kim, Hakil
    • Journal of Institute of Control, Robotics and Systems
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    • v.19 no.1
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    • pp.15-26
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    • 2013
  • This paper proposes a classification method of parallel, vertical parking states and pillars for parking assist system using ultrasonic sensors. Since, in general parking space detection module, the compressed amplitude of ultrasonic data are received, the analysis of them is difficult. To solve these problems, in preprocessing state, symmetric transform and noise removal are performed. In feature extraction process, four features, standard deviation of distance, reconstructed peak, standard deviation of reconstructed signal and sum of width, are proposed. Gaussian fitting model is used to reconstruct saturated peak signal and discriminability of each feature is measured. To find the best combination among these features, multi-class SVM and subset generator are used for more accurate and robust classification. The proposed method shows 92 % classification rate and proves the applicability to parking space detection modules.

Image processing for a top-view based parking assistance system (탑뷰 기반 주차 지원 시스템을 위한 영상처리)

  • Woo, Byung-Wook;Kim, Young-Joong;Kim, Jin-Hyung;Lee, Kwang-Wook;Hong, Min-Sun;Yoon, Shang-Moon;Park, Nam-Sook;Park, Geon-Kyu;Ko, Sung-Jea;Lim, Myo-Taeg
    • Proceedings of the KIEE Conference
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    • 2008.10b
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    • pp.274-275
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    • 2008
  • 탑뷰 기반 주자 지원 시스템 (Top-View Based Parking Assistance System)은 차량의 전자장치 기술과 영상 기반 제어 기술을 융합하여 운전자들의 판단 및 조작 실수로 인한 경제적 손실이나 운전자들의 주차에 대한 중압감을 해소한다. 본 논문에서는 이를 구현하기 위하여 차량의 전, 후 좌, 우 네 위치에 카메라를 장착하였고 각 카메라의 높이 초점 거리, 렌즈의 종류와 지면에 대한 각 등을 공식화하여 영강-지면 좌표 모델을 개발하였다. 이를 바탕으로 추출된 영상을 확대, 축소, 회전, 조합 등의 영상처리를 이용하여 차량의 위에서 내려다보는 것과 같은 영상을 생성하는 알고리즘을 제안하고 VC++을 이용하여 소프트웨어 어플리케이션으로 개발하였다.

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