Journal of Institute of Control, Robotics and Systems (제어로봇시스템학회논문지)

Institute of Control, Robotics and Systems (제어로봇시스템학회)
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Classification of Sides of Neighboring Vehicles and Pillars for Parking Assistance Using Ultrasonic Sensors

주차보조를 위한 초음파 센서 기반의 주변차량의 주차상태 및 기둥 분류

  • 박은수 (인하대학교 정보통신공학과) ;
  • 윤용지 (인하대학교 정보통신공학과) ;
  • 김형래 (인하대학교 로봇공학과) ;
  • 이종환 (인하대학교 정보통신공학과) ;
  • 기호용 (만도헬라 일렉트로닉스) ;
  • 이철희 (인하대학교 기계공학과) ;
  • 김학일 (인하대학교 정보통신공학과)
  • Received : 2012.08.17
  • Accepted : 2012.12.04
  • Published : 2013.01.01
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Abstract

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.

Keywords

References

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