Symbolic Traffic Scene Analysis Using Dynamic Belief Networks

Abstract

This paper addresses the subject of traffic scene analysis. It describes the operations that take place from the low-level processing of a traffic scene to its high-level description. It explains what dynamic belief networks are and some issues involved in using them for scene analysis. It describes a small traffic situation and how a dynamic belief network could represent it. It concludes with a short summary of future work on this topic.