Autonomous vehicles are employed in intralogistics in order to transport work pieces between different workplaces. Previous guidance systems are based on wire-guided tracks or optical following of surface markings. In the first case, the possibility to change the production layout is rather limited. In the second case, abrasion can significantly decrease recognition rates. In contrast, humans easily succeed in navigation tasks, even in dynamic environments. A promising approach is therefore to apply a cognitively motivated spatial representation for autonomous vehicles. This article presents BA23, a set of 23 qualitative relations for qualitative spatial reasoning, and discusses its application in intralogistics.
