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Road profiling is an important aspect of vehicle dynamics simulations especially over rough terrains. The
accurate measurement of rough terrains allows for more accurate multi body simulations. Three dimensional
road profiles are usually performed by utilising a line scan sensor which measures several points lateral to the
road. The sensors range from simple road following wheels to LiDAR sensors. The obtained line scans are
longitudinally stitched together using the orientation and position of the sensor to obtain a full three dimensional
road profile. The sensor’s position and orientation therefore needs to be accurately determined in order to
combine the line scans to create an accurate representation of the terrain. The sensor’s position and orientation is
normally measured using an expensive inertial measurement unit or Inertial Navigation System (INS) with high
sensitivity, low noise and low drift. This paper proposes a road profiling technique which utilises stereography,
based on two inexpensive digital cameras, to obtain three-dimensional measurements of the road. The system
negates the use of an expensive INS system to determine orientation and position. The data sets also require subsampling which can be computationally expensive. A simple subsampling routine is presented which takes
advantage of the structure of the data sets to significantly speed up the process.National Research Foundation (DAAD-NRF).http://www.elsevier.com/locate/jterra2016-06-30hb201
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