Hock et al. 1994 : The approach presented is used for navigation of an autonomous mobile robot in a partially unknown operational environment by exploiting the a priori knowledge about distinctive landmarks. With the road vehicle VaMoRs behavioral competences have been developed over the last decade for visually guided longitudinal and lateral road following including obstacle avoidance. The applied methods have been proven to be numerically very efficient and locally adequate for vehicle guidance. Combining a transputer based image processing system and the 4D-approach to dynamic machine vision allows the analysis of the perceived environmental situation in an appropriate way to execute a preplanned mission. The background and the basic features of this new method are discussed.