DocumentCode
1866866
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
fYear
2001
fDate
2001
Firstpage
25
Lastpage
30
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Multisensor Fusion and Integration for Intelligent Systems, 2001. MFI 2001. International Conference on
Print_ISBN
3-00-008260-3
Type
conf
DOI
10.1109/MFI.2001.1013503
Filename
1013503
Link To Document