2004 - Sweden - Automated Road Segmentation Using a Bayesian Algorithm

Paper by Fridtjof Thomas. An algorithm is suggested that combines a recently developed Bayesian identification of transitions between two homogeneous road sections with a heuristic approach that uses this technique iteratively to find multiple homogeneous sections in arbitrary long measurement series. The approach is demonstrated with narrowly spaced measurement series of the international roughness index as well as rutting. The algorithm executes sufficiently fast to make the partition of an entire road network feasible.