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The Center for Control, Dynamical Systems, and Computation University of California at Santa Barbara
 

Summary: The Center for Control, Dynamical Systems, and Computation
University of California at Santa Barbara
Fall 2006 Seminars
Presents
Networked Directional Sensors for Object
Tracking
by Kurt Plarre
University of California, Santa Barbara
Friday, October 27th, 2006 3:00 - 4:00 PM ESB 2001
Abstract:
Sensor networks are networks formed by small and inexpensive sensors with wireless communication
capability. They can be deployed in large numbers to perform tasks such as collecting environmental
data, monitoring air or water quality, for surveillance applications, etc. Surveillance applications require
detecting, classifying, and tracking objects or phenomena.
We explore the application of directional sensors in a wireless sensor network to track objects moving
at constant velocity. We model the field of vision of each directional sensor as a line, and the measured
data are the times at which sensors detect objects crossing their lines. The network is initially deployed
by scattering nodes, and the locations and directions in which the sensor point are also unknown a
priori, in addition to the trajectories of the objects.
The estimation problem involves the solution of a highly non-convex optimization problem. However

  

Source: Akhmedov, Azer - Department of Mathematics, University of California at Santa Barbara

 

Collections: Mathematics