Multi-Sensor Fusion, Exploitation & Resource Allocation
 
Black River Systems has recognized capabilities in multi-target tracking and target discrimination algorithm development for multi-sensor systems. We have helped advance the state-of-the-art in raw signal detection-level fusion, multi-target multi-track level fusion, and data level fusion for target classification. Specific disciplines include Kalman filtering, detection and estimation theory, Bayesian influence networks and combinatorial algorithms, and advanced multi-sensor tracking with multiple hypothesis, probabilistic data, and maximum likelihood event data association algorithms, resource allocation, adaptive tasking, and optimization.
 
 
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Last modified: April 2006