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Nighttime Mobile Laser Scanning and 3D Luminance Measurement

Verifying the Outcome of Roadside Tree Pruning with Mobile Measurement of the Road Environment

Bibliographic Data

ID22031889
AuthorsMikko Maksimainen (0000-0001-6609-372X, Aalto University, corresponding author), Matti Vaaja (0000-0001-9907-0516, Aalto University), M Kurkela (0000-0003-4380-3885, Aalto University), Juho-Pekka Virtanen (0000-0003-0281-9717, Finnish Geospatial Research Institute), Arttu Julin (0000-0001-9887-1573, Aalto University), Kaisa Jaalama (0000-0002-0377-8497, Aalto University), Hannu Hyyppä (0000-0003-2487-3159, Finnish Geospatial Research Institute)
Year2020
Volume9
Issue7
Pages455
Publication date2020-07-19
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueISPRS International Journal of Geo-Information (JOURNAL)
Journal identifiersISSN: 2220-9964 • E-ISSN: 2220-9964
PublisherMDPI AG (PUBLISHER • IT)
DOI10.3390/ijgi9070455
OpenAlexW3043439503
LanguageEN
References cited51

Roadside vegetation can affect the performance of installed road lighting. We demonstrate a workflow in which a car-mounted measurement system is used to assess the light-obstructing effect of roadside vegetation. The mobile mapping system (MMS) includes a panoramic camera system, laser scanner, inertial measurement unit, and satellite positioning system. The workflow and the measurement system were applied to a road section of Munkkiniemenranta, Helsinki, Finland, in 2015 and 2019. The relative luminance distribution on a road surface and the obstructing vegetation were measured before and after roadside vegetation pruning applying a luminance-calibrated mobile mapping system. The difference between the two measurements is presented, and the opportunities provided by the mobile 3D luminance measurement system are discussed

Computer vision · Geography · Global Positioning System · Laser · Laser scanning · Luminance · Mobile mapping · Optics · Point cloud · Pruning · Remote sensing · Road surface · Scanner · Telecommunications · Computer Science · Engineering · Environmental Science · Impact of Light on Environment and Health · Mathematics · Remote Sensing and LiDAR Applications · Urban Green Space and Health · Artificial Intelligence

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