  Landmarks are important features of spatial cognition. Landmarks are
naturally included in human route descriptions and in the past algorithms were
developed to select the most salient landmarks at decision points and
automatically incorporate them in route instructions. Moreover, it was shown
that human route descriptions contain a significant amount of orientation
information and that these orientation information support the acquisition of
survey knowledge. Thus, there is a need to extend the landmarks selection in
order to automatically select orientation information. In this work we present
an algorithm for the computational selection of route dependent orientation
information, which extends previous algorithms and includes a salience
evaluation of orientation information for any location along the route. We
implemented the algorithm and demonstrate the functionality on the basis of
OpenStreetMap data.
