Driving Environment Recognition and a Simple Wall-Following Algorithm for AGV Using Sonar Sensor

초음파 센서를 이용한 AGV의 주행 환경 인식과 간단한 벽면 따르기 알고리즘

  • 김성중 (전북대 대학원 제어계측공학과) ;
  • 이정웅 (전북대 대학원 메카트로닉스공학과) ;
  • 이창구 (전북대 전자정보공학부)
  • Published : 2002.07.10

Abstract

This paper presents the method of AGV(Automatic guided vehicle)'s moving environment(plane, corner, edge) recognition using SONAR sensor configuration. As for the SONAR sensor, the Crosstalk effect has been generally considered as an inevitable noisy phenomenon in the indoor environment. However, this effect can be used as a clue for classifying and localizing targets in the indoor environment if those can be controlled and used well. EERUF(error eliminate rapid ultrasonic firing) is a method for firing multiple ultrasonic sensors in mobile robot application and multi-echo mode of POLARIOD Device can reduce the Crosstalk effect. Here, Crosstalk effect was reduced using EERUF and applied to the AGV with a simple wall-following algorithm in the indoor environment. This method was tesed by a typical AGV with multi SONAR sensors in the laboratory environment.

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