New method accurately maps rough terrain for autonomous planetary rovers.
A method for analyzing rough terrain using stereo vision was developed for a planetary rover. It creates a model of the terrain by fitting a plane to data points in a square patch. If the terrain is not flat, a triple-line model is used instead. This combined model accurately represents non-planar surfaces. The method was tested on real 3D data and showed promising results, even with sparse and varying accuracy data.