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Barshan, Billur - Department of Electrical and Electronics Engineering, Bilkent University
Robotics and Sensing Research Laboratory Department of Electrical and Electronics Engineering
Deniz Baskent Billur Barshan
Differentiation and localization of targets using infrared sensors
Recognizing targets from infrared intensity scan patterns using artificial neural networks
Meas. Sci. Technol. 11 (2000) 833844. Printed in the UK PII: S0957-0233(00)08867-6 Comparison of two methods of
INSTITUTE OF PHYSICS PUBLISHING MEASUREMENT SCIENCE AND TECHNOLOGY Meas. Sci. Technol. 16 (2005) 13951409 doi:10.1088/0957-0233/16/7/001
Pattern Recognition 37 (2004) 189199 www.elsevier.com/locate/patcog
Accurate profile extraction and mapping by intelligent processing of ultrasonic range
Pattern Recognition 40 (2007) 26072620 www.elsevier.com/locate/pr
http://ijr.sagepub.com Robotics Research
Complex signal recovery from two fractional Fourier transform intensities: order and noise dependence
Pattern Recognition 35 (2002) 14031419 www.elsevier.com/locate/patcog
Contributed article Fractional Fourier transform pre-processing for neural networks
Pattern Recognition 34 (2001) 1459}1467 Morphological surface pro"le extraction
Estimation of object location and radius of curvature using ultrasonic sonar
Contributed article Neural networks for improved target differentiation and localization
http://ijr.sagepub.com The International Journal of Robotics
IEEE TRANSACTIONS ON ROBOTICS AND AUTOMATION, VOL. 16, NO. 4, AUGUST 2000 435 Neural Network-Based Target Differentiation Using Sonar
1212 IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, VOL. 48, NO. 6, DECEMBER 1999 Location and Curvature Estimation
Surface differentiation by parametric modeling of infrared intensity scans
Meas. Sci. Technol. 11 (2000) 4550. Printed in the UK PII: S0957-0233(00)06573-5 Fast processing techniques for
Radius of curvature estimation and localization of targets using multiple sonar sensors
Simukai W. Utete Department of Engineering Science
Published in IET Signal Processing Received on 2nd February 2007
Pattern Recognition 36 (2003) 12131231 www.elsevier.com/locate/patcog
Position-invariant surface recognition and localization using infrared sensors
Rule-based target differentiation and position estimation based on infrared intensity
Simultaneous extraction of geometry and surface properties of targets using simple infrared
Perspective projections in the space-frequency plane and fractional Fourier transforms
Pedestrian dead reckoning employing simultaneous activity recognition cues This article has been downloaded from IOPscience. Please scroll down to see the full text article.