Browsing by Author "Ayrulu, Birsel"
Now showing items 1-6 of 6
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Classification of target primitives with sonar using two non-parametric data fusion methods
(Bilkent University, 1996)In this study, physical models are used to model reflections from target primitives commordy encountered in a mobile robot’s environment. These tcirgets are differentiated by employing a multi-transducer pulse/echo system ... -
Comparative analysis of different approaches to target classification and localization with sonar
(IEEE, 2001-08)The comparison of different classification and fusion techniques was done for target classification and localization with sonar. Target localization performance of artificial neural networks (ANN) was found to be better ... -
Evidential logical sensing using multiple sonars for the identification of target primitives in a mobile robot's environment
(IEEE, 1996)Physical models are used to model reflections from target primitives commonly encountered in mobile robot applications. These targets are differentiated by employing a multi-transducer pulse/echo system which relies on ... -
Fractional fourier transform pre-processing for neural networks and its application to object recognition
(Elsevier, 2002-01)This study investigates fractional Fourier transform pre-processing of input signals to neural networks. The fractional Fourier transform is a generalization of the ordinary Fourier transform with an order parameter a. ... -
Target identification with multiple logical sonars using evidential reasoning and simple majority voting
(IEEE, 1997)In this study, physical models are used to model reflections from target primitives commonly encountered in a mobile robot's environment. These targets are differentiated by employing a multi-transducer pulse/echo system ... -
Transform pre-processing for neural networks for object recognition and localization with sonar
(SPIE, 2003)We investigate the pre-processing of sonar signals prior to using neural networks for robust differentiation of commonly encountered features in indoor environments. Amplitude and time-of-flight measurement patterns acquired ...
