Synergetic Multisensor Fusion
Final rept. 1 Jul 1987-30 Sep 1990
TEXAS UNIV AT AUSTIN COMPUTER AND VISION RESEARCH CENTER
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Synergetic multisensor fusion is the process of integrating information obtained from different sensing modalities in order to extract additional information that cannot be obtained by separately processing the signals from the different sensors. The development of a computer vision system using synergetic multisensor fusion is a complex task which encompasses sensor modeling, environment modeling, determining the analytic models used to interrelate the different sensing mechanisms, determining the models used to interrelate the sensed parameters of imaged objects such as thermal emissivity, visual reflectance, and radar reflectance, and devising algorithms to exploit the derived models. We have developed powerful and robust algorithms for computer vision tasks based upon synergetic multisensor fusion. Our approach is suitable for applications such as object recognition, tracking, surveillance, and autonomous guidance.
- Computer Hardware