Abstract: The subject process accepts the data from a kinematic tracker and maps them to fuzzy set conditions. Then using a multitude of defined membership functions and fuzzy logic gates, generates sensor mode control rules. It does this for every track and each sensor. The Rule with the best score becomes a sensor cue, which is used to place the sensor into one of three operating modes. If there are ambiguities do to one or more vehicles coming in to close proximity to each other process compares radar profiles of vehicle to those stored in an “on the fly” data base to eliminate the ambiguities.

Abstract: There is provided a method for tracking a group having at least two targets. The method may comprise selecting the at least two targets from a plurality of targets. The at least two targets may be selectable based upon their respective target datum thereof. Thereafter, a dual gate surrounding each respective one of the at least two targets is defined, wherein a movement of each dual gate is synchronized with a movement of respective one of the at least two targets corresponding thereto. The dual gate of each respective one of the at least two targets may then be associated with each other to form the group.

Abstract: There is provided a method for tracking a group having at least two targets. The method may comprise selecting the at least two targets from a plurality of targets. The at least two targets may be selectable based upon their respective target datum thereof. Thereafter, a dual gate surrounding each respective one of the at least two targets may need to be defined, wherein a movement of each dual gate is synchronized with a movement of respective one of the at least two targets corresponding thereto. The dual gate of each respective one of the at least two targets may then be associated with each other to form the group.