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T06 - Multitarget Tracking and Multisensor Information Fusion

To provide to the participants the latest state-of-the art techniques to estimate the states of multiple targets with multisensor information fusion. Tools for algorithm selection, design and evaluation will be presented. These form the basis of automated decision systems for advanced surveillance and targeting. The various information processing configurations for fusion are described, including the recently solved track-to-track fusion from heterogeneous sensors. 

Instructor biography

Yaakov BarShalom was born on May 11, 1941. He received the B.S. and M.S. degrees from the Technion, Israel Institute of Technology, in 1963 and 1967 and the Ph.D. degree from Princeton University in 1970, all in electrical engineering. Currently he is Board of Trustees Distinguished Professor in the Dept. of Electrical and Computer Engineering and Marianne E. Klewin Professor in Engineering at the University of Connecticut. His current research interests are in estimation theory and target tracking and has published over 400 papers and book chapters in these areas and in stochastic adaptive control. He coauthored and edited 8 books. He has consulted to numerous companies and government agencies, and originated the series of Multitarget-Multisensor Tracking short courses. He served as General Chairman of FUSION 2000, President of ISIF in 2000 and 2002 and Vice President for Publications in 2004-13. Since 1995 he is a Distinguished Lecturer of the IEEE AESS and has given numerous keynote addresses at major national and international conferences. He is corecipient of the M. Barry Carlton Award for the best paper in the IEEE Transactions on Aerospace and Electronic Systems in 1995 and 2000. In 2002 he received the J. Mignona Data Fusion Award from the DoD JDL Data Fusion Group. He was awarded the 2008 IEEE Dennis J. Picard Medal for Radar Technologies and Applications and is listed in ”top authors in engineering” by as the #1 cited author in Aerospace Engineering.