Title :
Comparative analysis of different approaches to target classification and localization with sonar
Author :
Ayrulu, Birsel ; Barshan, Billur
Author_Institution :
Dept. of Electr. & Electron. Eng., Bilkent Univ., Ankara, Turkey
Abstract :
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.
Keywords :
pattern classification; position measurement; sensor fusion; sonar signal processing; feature differentiation; feature localization; indoor environments; intelligent systems; sensor data fusion; sonar; target classification; target localization; Clustering algorithms; Indoor environments; Intelligent sensors; Intelligent systems; Linear discriminant analysis; Parameter estimation; Pattern recognition; Sonar navigation; Ultrasonic transducers; Voting;
Conference_Titel :
Multisensor Fusion and Integration for Intelligent Systems, 2001. MFI 2001. International Conference on
Print_ISBN :
3-00-008260-3
DOI :
10.1109/MFI.2001.1013503
