Description Logic for Scene Understanding at the Example of Urban Road Intersections

Understanding a natural scene on the basis of external sensors is a task yet to be solved by computer algorithms. The present thesis investigates the suitability of a particular family of explicit, formal representation and reasoning formalisms for this task, which are subsumed under the term Description Logic

Temporal Pattern Mining in Dynamic Environments

Dynamic scenes with many different objects and interrelations changing over time demand complex representations. The identification of frequent patterns and prediction rules in such scenes would be very valuable as associations in the data could be discovered or a system’s performance could even be improved by utilizing the new information in the behavior decision process. In this work, a novel approach to temporal pattern mining in dynamic environments has been proposed.