Model-based winter road classification
by Johan Casselgren; Mikael Sjödahl; James P. LeBlanc
International Journal of Vehicle Systems Modelling and Testing (IJVSMT), Vol. 7, No. 3, 2012

Abstract: An investigation of different road conditions has been conducted using a short-wave infrared (SWIR) light online sensor to examine the possibility of estimating road condition parameters such as porosity, depth and roughness. These parameters are essential for non-contact road friction estimation. The investigation show that it is possible to detect changes of depths of water and ice as well as classify different types of ice, by utilising polarised short-wave infrared (SWIR) light and a modified Hapke directional reflectance model.

Online publication date: Sat, 13-Sep-2014

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