Surface differentiation and localization by parametric modeling of infrared intensity scans
2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS
2294 - 2299
MetadataShow full item record
Please cite this item using this persistent URLhttp://hdl.handle.net/11693/27305
In this study, surfaces with different properties are differentiated with simple low-cost infrared (IR) emitters and detectors in a location-invariant manner. The intensity readings obtained from such sensors are highly dependent on the location and properties of the surface, which complicates the differentiation and localization process. Our approach, which models IR intensity scans parametrically, can distinguish different surfaces independent of their positions. The method is verified experimentally with wood, Styrofoam packaging material, white painted wall, white and black cloth, and white, brown, and violet paper. A correct differentiation rate of 100% is achieved for six surfaces and the surfaces are localized within absolute range and azimuth errors of 0.2 cm and 1.1°, respectively. The differentiation rate decreases to 86% for seven surfaces and to 73% for eight surfaces. The method demonstrated shows that simple IR sensors, when coupled with appropriate processing, can be used to differentiate different types of surfaces in a location-invariant manner. © 2005 IEEE.
Showing items related by title, author, creator and subject.
Bioinspired optoelectronic nose with nanostructured wavelength-scalable hollow-core infrared fibers Yildirim, A.; Vural, M.; Yaman, M.; Bayindir, M. (2011)A digital photonic nose concept based on infrared absorption inside a hollow core infrared transmitting fiber array is presented. Wavelength-scalable photonic band gap fibers filter specific energy photons from a blackbody ...
Ayas S.; Bakan G.; Ozgur E.; Celebi K.; Dana A. (American Chemical Society, 2016)Infrared absorption spectroscopy has greatly benefited from the electromagnetic field enhancement offered by plasmonic surfaces. However, because of the localized nature of plasmonic fields, such field enhancements are ...
Erden F.; Çetin, A. (Institute of Electrical and Electronics Engineers Inc., 2014)In this paper, a multimodal hand gesture detection and recognition system using differential Pyroelectric Infrared (PIR) sensors and a regular camera is described. Any movement within the viewing range of the differential ...