Available Technology

Fusion of multi-sensor information with operator-learned behavior for automatic and efficient recognition of objects and control of remote vehicles

Systems and methods are described for remotely controlled vehicles that hierarchically transform sensor-detected information into levels of increasing fidelity for highly efficient machine recognition of attributes and features of detected objects/events. Fusion of the feature space representations of the various levels allows correlation with the operator's attention to the respective objects for automated processing/controlling of the unmanned vehicle. High efficiencies in object/event recognition are attained with reduced memory and processor requirements, enabling near autonomous or fully autonomous operation of the vehicle.

Stuart Rubin

Patent Number: 
Patent Issue Date: 
August 15, 2014
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