Approaches for Mapping Night-Time Road Environment Lighting Conditions

M. T. Vaaja, M. Maksimainen, Matti Kurkela, Juho-Pekka Virtanen, T. Rantanen, H. Hyyppä

Research output: Contribution to journalConference articleScientificpeer-review

5 Citations (Scopus)
210 Downloads (Pure)

Abstract

The integration of the 3D measurement techniques with luminance imaging has increased the potential for mapping night-time road lighting conditions. In this study, we present selected static and mobile approaches for the purpose. The measurement methods include conventional 2D imaging luminance photometry and the integration of the luminance imaging with terrestrial and mobile laser scanning. In addition, we present our initial experiences with performing integrated luminance mapping and photogrammetric reconstruction from drone imagery. All of the presented methods require that the camera is calibrated with a reference luminance source. Our results show the results of luminance calibration and feasibility of 3D luminance point clouds for evaluating road surface luminances. In addition, we discuss the other potential applications, limitations and future research.

Original languageEnglish
Pages (from-to)199-205
Number of pages7
JournalISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Volume5
Issue number1
DOIs
Publication statusPublished - 3 Aug 2020
MoE publication typeA4 Conference publication
EventISPRS Congress - Technical Commission I - Virtual, Nice, France
Duration: 31 Aug 20202 Sept 2020
Conference number: 24

Keywords

  • Imaging Luminance Photometry
  • Mobile Laser Scanning
  • Photogrammetry
  • Road Lighting
  • Terrestrial Laser Scanning
  • UAV

Fingerprint

Dive into the research topics of 'Approaches for Mapping Night-Time Road Environment Lighting Conditions'. Together they form a unique fingerprint.

Cite this