DocumentCode
1746731
Title
Ultrasonic surface profile determination by spatial voting
Author
Barshan, Billur
Author_Institution
Dept. of Electr. Eng., Bilkent Univ., Ankara, Turkey
Volume
1
fYear
2001
fDate
21-23 May 2001
Firstpage
583
Abstract
A novel spatial voting scheme is described for surface profile determination based on multiple ultrasonic range measurements. Spatial voting relies on the number of votes accumulated in each pixel of the ultrasonic arc map but ignores neighboring relationships. This approach is extremely robust, flexible, and straightforward. It can deal with arbitrary numbers and configurations of sensors as well as synthetic arrays, with the intrinsic ability to suppress spurious readings, crosstalk, and higher-order reflections, and process multiple reflections informatively. The performance of the method is investigated on various examples involving both simulated and experimental data. The effect of varying the surface roughness is also considered
Keywords
curve fitting; distance measurement; feature extraction; inverse problems; mathematical morphology; mobile robots; robot vision; surface topography measurement; ultrasonic measurement; ultrasonic transducers; US transducers; crosstalk suppression; curve fitting; feature extraction; higher-order reflections suppression; inverse problem; machine perception; map building; mobile robots; morphological processing; multiple reflections processing; multiple ultrasonic range measurements; number of votes accumulated; spatial voting scheme; spurious readings suppression; surface profile determination; synthetic arrays; thresholding; ultrasonic arc map; variable surface roughness; Geophysical measurements; Intelligent sensors; Optical reflection; Rough surfaces; Sea measurements; Sea surface; Sensor arrays; Ultrasonic transducers; Ultrasonic variables measurement; Voting;
fLanguage
English
Publisher
ieee
Conference_Titel
Instrumentation and Measurement Technology Conference, 2001. IMTC 2001. Proceedings of the 18th IEEE
Conference_Location
Budapest
ISSN
1091-5281
Print_ISBN
0-7803-6646-8
Type
conf
DOI
10.1109/IMTC.2001.928885
Filename
928885
Link To Document