The problem of the autonomous navigation of intelligent vehicles has been studied for years now, and nowadays efficient sensing-based controllers have been developed and are even included by autonomous car manufacturers. However, these controllers do not take into account the contextual information from the vehicle’s environment. Recently, a few studies tried to consider the possibility of considering this information in control laws, in order to adapt the vehicle’s behavior to each different situation it may be in. In this paper, we develop a method to model a context of navigation which provides information on both local and global navigation, using ontologies and reasoners. Then we explain how this information can be handled in local and global control laws. Finally, we illustrate our method with a small-sized ontology of the context of navigation, and its integration to be taken into account by a local driving controller.