no code implementations • 27 Mar 2013 • Tod S. Levitt
Artificial intelligence applications such as industrial robotics, military surveillance, and hazardous environment clean-up, require situation understanding based on partial, uncertain, and ambiguous or erroneous evidence.
no code implementations • 27 Mar 2013 • Tod S. Levitt, Thomas O. Binford, Gil J. Ettinger, Patrice Gelband
Parallel computation is available at several levels of processor capability.
no code implementations • 27 Mar 2013 • Tod S. Levitt, John Mark Agosta, Thomas O. Binford
We show an approach to automated control of machine vision systems based on incremental creation and evaluation of a particular family of influence diagrams that represent hypotheses of imagery interpretation and possible subsequent processing decisions.
no code implementations • 27 Mar 2013 • Thomas O. Binford, Tod S. Levitt, Wallace B. Mann
This is a preliminary version of visual interpretation integrating multiple sensors in SUCCESSOR, an intelligent, model-based vision system.
no code implementations • 27 Mar 2013 • Tod S. Levitt
We are interested in creating an automated or semi-automated system with the capability of taking a set of radar imagery, collection parameters and a priori map and other tactical data, and producing likely interpretations of the possible military situations given the available evidence.