The digitized battlefield of the 21st Century will revolutionize the methods used to maintain military command and control. The tremendous amount of data available will necessitate the use of intelligent, automated systems that augment, and in some cases replace, the human structures currently in place. One aspect of such systems is terrain-based tracking. We discuss an intelligent terrain-based system for tracking multiple vehicles moving across terrain. Specifically, our system will extract and utilize knowledge about groups to improve the performance of a discrete state-space motion model. Parallel programming techniques are utilized to efficiently compute probability densities for the vehicles. A learning component will allow for real-time adjustment based on performance.
|Original language||English (US)|
|Number of pages||6|
|Journal||Proceedings of the IEEE International Conference on Systems, Man and Cybernetics|
|State||Published - Dec 1 1998|
|Event||Proceedings of the 1998 IEEE International Conference on Systems, Man, and Cybernetics. Part 3 (of 5) - San Diego, CA, USA|
Duration: Oct 11 1998 → Oct 14 1998