Luminance-Corrected 3D Point Clouds for Road and Street Environments

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dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en Vaaja, Matti T. Kurkela, Matti Virtanen, Juho-Pekka Maksimainen, Mikko Hyyppä, Hannu Hyyppä, Juha Tetri, Eino 2017-04-28T09:58:12Z 2017-04-28T09:58:12Z 2015
dc.identifier.citation Vaaja , M T , Kurkela , M , Virtanen , J-P , Maksimainen , M , Hyyppä , H , Hyyppä , J & Tetri , E 2015 , ' Luminance-Corrected 3D Point Clouds for Road and Street Environments ' REMOTE SENSING , vol 7 , no. 9 , pp. 11389-11402 . DOI: 10.3390/rs70911389 en
dc.identifier.issn 2072-4292
dc.identifier.other PURE UUID: 1a57a644-fe1a-4549-9519-21d3b66837d3
dc.identifier.other PURE ITEMURL:
dc.identifier.other PURE FILEURL:
dc.description.abstract A novel approach to evaluating night-time road and street environment lighting conditions through 3D point clouds is presented. The combination of luminance imaging and 3D point cloud acquired with a terrestrial laser scanner was used for analyzing 3D luminance on the road surface. A calculation of the luminance (cd/m2) was based on the RGB output values of a Nikon D800E digital still camera. The camera was calibrated with a reference luminance source. The relative orientation between the luminance images and intensity image of the 3D point cloud was solved in order to integrate the data sets into the same coordinate system. As a result, the 3D model of road environment luminance is illustrated and the ability to exploit the method for evaluating the luminance distribution on the road surface is presented. Furthermore, the limitations and future prospects of the methodology are addressed. The method provides promising results for studying road lighting conditions in future lighting optimizations. The paper presents the methodology and its experimental application on a road section which consists of five luminaires installed on one side of a two-lane road in Otaniemi, Espoo, Finland. en
dc.format.extent 11389-11402
dc.format.mimetype application/pdf
dc.language.iso en en
dc.relation.ispartofseries REMOTE SENSING en
dc.relation.ispartofseries Volume 7, issue 9 en
dc.rights openAccess en
dc.subject.other 212 Civil and construction engineering en
dc.subject.other 222 Other engineering and technologies en
dc.subject.other 513 Law en
dc.subject.other 520 Other social sciences en
dc.subject.other 113 Computer and information sciences en
dc.subject.other 1171 Geosciences en
dc.title Luminance-Corrected 3D Point Clouds for Road and Street Environments en
dc.type A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä fi
dc.description.version Peer reviewed en
dc.contributor.department Department of Electrical Engineering and Automation en
dc.contributor.department Department of Real Estate, Planning and Geoinformatics en
dc.contributor.department Department of Built Environment en
dc.subject.keyword 3D
dc.subject.keyword lighting
dc.subject.keyword luminance
dc.subject.keyword point clouds
dc.subject.keyword road environment
dc.subject.keyword terrestrial laser scanning
dc.subject.keyword 212 Civil and construction engineering
dc.subject.keyword 222 Other engineering and technologies
dc.subject.keyword 513 Law
dc.subject.keyword 520 Other social sciences
dc.subject.keyword 113 Computer and information sciences
dc.subject.keyword 1171 Geosciences
dc.identifier.urn URN:NBN:fi:aalto-201704283706
dc.identifier.doi 10.3390/rs70911389
dc.type.version publishedVersion

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