Object tracking using a cognitive heterogeneous ad hoc mesh network
Abstract:
Embodiments described herein are directed to a tracking objects using a cognitive heterogeneous ad hoc mesh network. Participant objects transmit notification signals to inform other participant objects in line-of-sight of their position and movement. The participants also utilize echoes of the notification signals to detect and estimate the position and movement of non-participant objects. Participant objects can then share this positional information with one another to refine the estimated position and movement of non-participant objects. The position of each other participant and non-participant object is updated based on an individualized update rate that dynamically changes based on the distance and velocity of closure between the participant and the other participant or non-participant object.
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