Spectral attenuation in low visibility artificial fog: Experimental study and comparison to literature models

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

3 Citations (Scopus)

Abstract

The ECSEL joint undertaking RobustSENSE focuses on technologies and solutions for automated driving in adverse weather conditions. One of the main technology challenges is to improve laser scanner performance in fog where the existing 905 nm LIDAR reliability degrades below tolerances. This report briefly summarizes the results of experimental fog absorbance measurements, which were conducted in test laboratories located in VTT's premises. The content of the presentation will focus on spectral absorbance at low visibility artificial fog in near infrared band.

Original languageEnglish
Title of host publicationProceedings - 2017 IEEE 13th International Conference on Intelligent Computer Communication and Processing, ICCP 2017
PublisherIEEE Institute of Electrical and Electronic Engineers
Pages303-308
Number of pages6
ISBN (Electronic)9781538633687
DOIs
Publication statusPublished - 21 Nov 2017
MoE publication typeA4 Article in a conference publication
Event13th IEEE International Conference on Intelligent Computer Communication and Processing, ICCP 2017 - Cluj-Napoca
Duration: 7 Sep 20179 Sep 2017

Conference

Conference13th IEEE International Conference on Intelligent Computer Communication and Processing, ICCP 2017
CityCluj-Napoca
Period7/09/179/09/17

Keywords

  • Artificial fog
  • Laser scanner
  • Lidar
  • Low visibility
  • NIR
  • Spectral absorbance
  • Spectral attenuation

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    Mäyrä, A., Hietala, E., Kutila, M., & Pyykönen, P. (2017). Spectral attenuation in low visibility artificial fog: Experimental study and comparison to literature models. In Proceedings - 2017 IEEE 13th International Conference on Intelligent Computer Communication and Processing, ICCP 2017 (pp. 303-308). [8117021] IEEE Institute of Electrical and Electronic Engineers. https://doi.org/10.1109/ICCP.2017.8117021