Comparative analysis of different approaches to target classification and localization with sonar

This study compares the performances of different classification and fusion techniques for the differentiation and localization of commonly encountered features in indoor environments. Differentiation of such features is of interest for intelligent systems in a variety of applications.

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Bibliographische Detailangaben
Hauptverfasser:	Ayrulu, B., Barshan, B.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Clustering algorithms Indoor environments Intelligent sensors Intelligent systems Linear discriminant analysis Parameter estimation Pattern recognition Sonar navigation Ultrasonic transducers Voting
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Beschreibung
Zusammenfassung:	This study compares the performances of different classification and fusion techniques for the differentiation and localization of commonly encountered features in indoor environments. Differentiation of such features is of interest for intelligent systems in a variety of applications.
DOI:	10.1109/MFI.2001.1013503