The Active Sensing Testbed

THIRTY-FIFTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THIRTY-THIRD CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE AND THE ELEVENTH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE(2021)

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摘要
The Active Sensing Testbed (AST) is a novel framework for research in machine perception and world-view reasoning. The AST supports exploratory development of perception systems that can build internal models of the world by combining multi-view and multi-modal analytics, utilize these models to form hypotheses about a scene, and potentially take action to fill in gaps in knowledge or make predictions about future world states. As a modular software framework, the AST is intended to lower the barrier to entry for researchers and developers in applying state-of-the-art computer vision techniques to real-world problems.
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active sensing
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