Feature-aided Random Set Tracking on a Road Constrained Network
July 2006
James Witkoskie, The MITRE Corporation
Walter Kuklinski, The MITRE Corporation
Stephen Theophanis, The MITRE Corporation
David Stein, The MITRE Corporation
Michael Otero, The MITRE Corporation
ABSTRACT
This paper describes the application of finite set statistics (FISST) to a real-time multiple target road constrained feature-aided tracking problem. A vehicle of interest traverses the road network while other confuser vehicles cross paths with this vehicle. Features extracted from sensors are used to disambiguate the vehicle of interest from the confuser vehicles. The FISST formalism naturally leads to understanding ambiguity in the identity of targets.
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