TY  - JOUR
PY  - 2012//
TI  - Model-based winter road classification
JO  - International journal of vehicle modelling and testing
A1  - Casselgren, Johan
A1  - Sjödahl, Mikael
A1  - LeBlanc, James P.
SP  - 268
EP  - 284
VL  - 7
IS  - 3
N2  - 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.       Keywords: road surface classification; vehicle applications; road friction estimation; optical sensors; safety applications; winter road classification; ice; snow; road surfaces; winter roads; short-wave infrared light; SWIR light; surface porosity; surface depth; surface roughness; directional reflectance models; road safety.<p />
LA  - en
SN  - 1745-6436
UR  - http://dx.doi.org/10.1504/IJVSMT.2012.048941
ID  - ref1
ER  -