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

Tutkimustuotos: Lehtiartikkeli

Tutkijat

Organisaatiot

Kuvaus

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.

Yksityiskohdat

AlkuperäiskieliEnglanti
Sivut11389-11402
JulkaisuRemote Sensing
Vuosikerta7
Numero9
TilaJulkaistu - 2015
OKM-julkaisutyyppiA1 Julkaistu artikkeli, soviteltu

    Tutkimusalat

  • 3D, lighting, luminance, point clouds, road environment, terrestrial laser scanning

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ID: 1988824