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

Institute of Control, Robotics and Systems (제어로봇시스템학회)
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Pillar and Vehicle Classification using Ultrasonic Sensors and Statistical Regression Method

통계적 회귀 기법을 활용한 초음파 센서 기반의 기둥 및 차량 분류 알고리즘

  • Lee, Chung-Su (Department of Information & Communication Engineering, Inha University) ;
  • Park, Eun-Soo (Department of Information & Communication Engineering, Inha University) ;
  • Lee, Jong-Hwan (Department of Information & Communication Engineering, Inha University) ;
  • Kim, Jong-Hee (Department of Information & Communication Engineering, Inha University) ;
  • Kim, Hakil (Department of Information & Communication Engineering, Inha University)
  • 이충수 (인하대학교 정보통신공학과) ;
  • 박은수 (인하대학교 정보통신공학과) ;
  • 이종환 (인하대학교 정보통신공학과) ;
  • 김종희 (인하대학교 정보통신공학과) ;
  • 김학일 (인하대학교 정보통신공학과)
  • Received : 2013.09.09
  • Accepted : 2014.01.22
  • Published : 2014.04.01
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Abstract

This paper proposes a statistical regression method for classifying pillars and vehicles in parking area using a single ultrasonic sensor. There are three types of information provided by the ultrasonic sensor: TOF, the peak and the width of a pulse, from which 67 different features are extracted through segmentation and data preprocessing. The classification using the multiple SVM and the multinomial logistic regression are applied to the set of extracted features, and has achieved the accuracy of 85% and 89.67%, respectively, over a set of real-world data. The experimental result proves that the proposed feature extraction and classification scheme is applicable to the object classification using an ultrasonic sensor.

Keywords

References

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