University of Minnesota
Aerospace Engineering and Mechanics
Winter 1998 Seminar Series
Effectively Using and Managing Sensor Information in Tracking
In many applications, such as air traffic control, tactical defense, and
manufacturing systems, multiple sensors are used to track objects and assess the
environment. Multiple sensors provide large amounts of data with which to
detect, track, and identify targets of interest. Using different types of
sensors to obtain information allows the strengths of one sensor type to
compensate for the weaknesses of another and further provides redundance,
therefore increasing system robustness.
In this talk, we will outline several multisensor fusion algorithms
for tracking applications that combine measurements from multiple sensors in a
consistent manner. We will also describe recent results investigating different
methods of processing sensor information and overview some of the advantages and
disadvantages of centralized versus distributed processing architectures.
Finally, we will discuss the need for methods to manage sensor information in
multisensor systems so that computational demands on the tracking system are
minimized while maintaining a desired performance level.
Friday, January 9, 1998
209 Akerman Hall
Refreshments served after the seminar in
227 Akerman Hall.
Disability accomodations provided upon request.
Audrey Stark-Evers, Senior Secretary,