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Road condition analysis using NIR illumination and compensating for surrounding light
Lulea Univ Technol, Div Fluid & Expt Mech, S-97187 Lulea, Sweden.
Lulea Univ Technol, Div Fluid & Expt Mech, S-97187 Lulea, Sweden.
Luleå Univ Technol, Div Fluid & Expt Mech, S-97187 Luleå, Sweden.
Mittuniversitetet, Fakulteten för naturvetenskap, teknik och medier, Avdelningen för elektronikkonstruktion.
2016 (engelsk)Inngår i: Optics and lasers in engineering, ISSN 0143-8166, E-ISSN 1873-0302, Vol. 77, s. 175-182Artikkel i tidsskrift (Fagfellevurdert) Published
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Abstract [en]

An investigation of a NIR camera system for road surface classification has been conducted for several road conditions. The surfaces were illuminated with three wavelengths, 980 nm, 1310 nm and 1550 nm and a halogen lamp, to simulate a real environment application with surrounding light. A measuring scheme to deal with surrounding light has been implemented enabling road condition classification from NIR images in a real environment. The retrieved camera images have been analyzed and an RGB representation of the different surfaces has been created to classify the different road conditions. The investigation shows that it is possible to distinguish between dry, moist, wet, frosty, icy and snowy road surfaces using a NIR camera system in a disturbed environment. (c) 2015 Elsevier Ltd. All rights reserved.

sted, utgiver, år, opplag, sider
2016. Vol. 77, s. 175-182
Emneord [en]
Optics at surfaces, Infrared imaging, Hyperspectral imaging, Scattering measurements, Cameras
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URN: urn:nbn:se:miun:diva-26869DOI: 10.1016/j.optlaseng.2015.08.002ISI: 000366617300021Scopus ID: 2-s2.0-84941908610Lokal ID: STCOAI: oai:DiVA.org:miun-26869DiVA, id: diva2:894739
Tilgjengelig fra: 2016-01-15 Laget: 2016-01-15 Sist oppdatert: 2017-06-29bibliografisk kontrollert

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