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Communication Dans Un Congrès Année : 2001

Distinction between objects with ultrasonic binaural system and only ampltitude

Naïma Aït Oufroukh
  • Fonction : Auteur
  • PersonId : 855938
Christian Barat
Etienne Colle
  • Fonction : Auteur
  • PersonId : 855930

Résumé

This study investigates the processing of sonar signal using statistical methods (quadratic and linear) for differentiation of commonly encountered features in indoor robot environments. Statistical method can differentiate two targets (Plane and Corner) with higher accuracy, improving on previously reported methods. It achieves this by exploiting identifying echo features: the differential frequency, length, amplitude and time-of-flight (TOF) characteristics of these targets. The features extraction is also studied and the reduction of parameters is obtained with a SBS (Sequential Backward Selection) approach. The results indicate that the amplitude information is more crucial than other features. The study suggests a wider use of statistical methods and amplitude information in sonar-based mobile robotics.
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Dates et versions

hal-01636553 , version 1 (16-11-2017)

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Citer

Naïma Aït Oufroukh, Christian Barat, Etienne Colle. Distinction between objects with ultrasonic binaural system and only ampltitude. 8th International Conference on Emerging Technologies and Factory Automation (ETFA 2001), Oct 2001, Juan les Pins, France. pp.7290399, ⟨10.1109/ETFA.2001.997776⟩. ⟨hal-01636553⟩

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