Heintz, Fredrik Rudol, Piotr Doherty, Patrick 2007 (English)In: Proceedings of the 10th International Conference on Information Fusion (FUSION), IEEE conference proceedings, 2007Conference paper (Refereed)
An implemented system for achieving high level situation awareness about traffic situations in an urban area is described. It takes as input sequences of color and thermal images which are used to construct and maintain qualitative object structures and to recognize the traffic behavior of the tracked vehicles in real time. The system is tested both in simulation and on data collected during test flights. To facilitate the signal to symbol transformation and the easy integration of the streams of data from the sensors with the GIS and the chronicle recognition system, DyKnow, a stream-based knowledge processing middleware, is used. It handles the processing of streams, including the temporal aspects of merging and synchronizing streams, and provides suitable abstractions to allow high level reasoning and narrow the sense reasoning gap.
knowledge representation, information fusion, ai
National CategoryComputer Science
Identifiersurn:nbn:se:liu:diva-40855 (URN)10.1109/ICIF.2007.4408103 (DOI)54316 (Local ID)978-0-662-45804-3 (ISBN)978-0-662-47830-0 (ISBN)oai:DiVA.org:liu-40855 (OAI)diva2:261704 (DiVA)
The 10th International Conference on Information Fusion (FUSION), 9-12 July, Québec, Canada