Road Surface Characterization by Near Infrared Light Scattering and Absorption

dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.advisorTuononen, Ari
dc.contributor.authorPermogorov, Alexander
dc.contributor.schoolSähkötekniikan korkeakoulufi
dc.contributor.supervisorSopanen, Markku
dc.date.accessioned2016-11-02T09:17:03Z
dc.date.available2016-11-02T09:17:03Z
dc.date.issued2016-10-31
dc.description.abstractThis work is dedicated to creation of a non-contact optical sensor for tire-road friction estimation based on near-infrared radiation scattering and absorption in the case of different road conditions. Here we present implementation of such a sensor based on different detector response to backscattered light from the asphalt surface in four possible conditions: dry, wet, snowy and icy. We discuss light-matter interaction behind the chosen methodology, describe such a sensor prototype and its optical and electric components, perform experimental evaluation of sensor's ability to distinguish these surface types and compare experimental results to computer simulations. Theory, experiment and simulations come in agreement and the road conditions can be determined with the sensor. Additionally, ideas of sensor improvement and further perspectives are discussed.en
dc.format.extent51+5
dc.format.mimetypeapplication/pdfen
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/23155
dc.identifier.urnURN:NBN:fi:aalto-201611025256
dc.language.isoenen
dc.locationP1fi
dc.programmeEST_2fi
dc.programme.majorMicro and nanotechnologyfi
dc.programme.mcodeS3010fi
dc.rights.accesslevelopenAccess
dc.subject.keywordnear infrareden
dc.subject.keywordscatteringen
dc.subject.keywordabsorptionen
dc.subject.keywordfriction estimationen
dc.subject.keywordlaser diodeen
dc.subject.keywordphotodiodeen
dc.titleRoad Surface Characterization by Near Infrared Light Scattering and Absorptionen
dc.typeG2 Pro gradu, diplomityöfi
dc.type.okmG2 Pro gradu, diplomityö
dc.type.ontasotMaster's thesisen
dc.type.ontasotDiplomityöfi
dc.type.publicationmasterThesis
local.aalto.idinssi54791
local.aalto.openaccessyes

Files

Original bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
master_Permogorov_Alexander_2016.pdf
Size:
35.56 MB
Format:
Adobe Portable Document Format