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Obstacle Identification by an Ultrasound Sensor Using Neural Networks

  • D. Diep
  • A. Johannet
  • P. Bonnefoy
  • F. Harroy
Conference paper

Abstract

This paper presents a method for obstacle recognition to be used by a mobile robot. Data are made of range measurements issued from a phased array ultrasonic sensor, characterized by a narrow beam width and an electronically controlled scan. Different methods are proposed: a simulation study using a neural network, and a signal analysis using an image representation. Finally, a solution combining both approaches has been validated.

Keywords

Neural Network Mobile Robot Learning Rule Obstacle Avoidance Mean Amplitude 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Wien 1998

Authors and Affiliations

  • D. Diep
    • 1
  • A. Johannet
    • 1
  • P. Bonnefoy
    • 2
  • F. Harroy
    • 2
  1. 1.LGI2P — EMA/EERIENîmesFrance
  2. 2.IMRA EuropeSophia AntipolisFrance

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