Feature-aided Random Set Tracking on a Road Constrained Network

By James Witkoskie , Walter Kuklinski , Stephen Theophanis , Dr. David Stein , Michael Otero, Ph.D.

This paper describes the application of finite set statistics (FISST) to a real-time multiple target road constrained feature-aided tracking problem.

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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.