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Road condition analysis using NIR illumination and compensating for surrounding light
Luleå tekniska universitet, Institutionen för teknikvetenskap och matematik, Strömningslära och experimentell mekanik.
Luleå tekniska universitet, Institutionen för teknikvetenskap och matematik, Strömningslära och experimentell mekanik.
Luleå tekniska universitet, Institutionen för teknikvetenskap och matematik, Strömningslära och experimentell mekanik.ORCID-id: 0000-0003-4879-8261
Combitech AB, Mittuniversitetet, Department of Information Technology and Media, Mid-Sweden University.
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
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.

sted, utgiver, år, opplag, sider
2016. Vol. 77, s. 175-182
HSV kategori
Forskningsprogram
Experimentell mekanik
Identifikatorer
URN: urn:nbn:se:ltu:diva-3637DOI: 10.1016/j.optlaseng.2015.08.002ISI: 000366617300021Scopus ID: 2-s2.0-84941908610Lokal ID: 1745f2b3-0568-4b59-9515-df224fe10d60OAI: oai:DiVA.org:ltu-3637DiVA, id: diva2:976495
Merknad
Validerad; 2015; Nivå 2; 20150916 (andbra)Tilgjengelig fra: 2016-09-29 Laget: 2016-09-29 Sist oppdatert: 2018-07-10bibliografisk kontrollert

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