The Active Sensing Testbed

Authors

  • Lee Stearns The Johns Hopkins Applied Physics Lab
  • Neil Fendley The Johns Hopkins Applied Physics Lab
  • Ashley J. Llorens The Johns Hopkins Applied Physics Lab

Keywords:

Active Sensing, Autonomy, Perception, Reasoning, Real-World

Abstract

The Active Sensing Testbed (AST) is a novel framework for research in machine perception and world-view rea-soning. The AST supports exploratory development of perception systems that can build internal models of the world by combining multi-view and multi-modal analyt-ics, utilize these models to form hypotheses about a sce-ne, 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 in-tended to lower the barrier to entry for researchers and developers in applying state-of-the-art computer vision techniques to real-world problems.

Downloads

Published

2021-05-18

How to Cite

Stearns, L., Fendley, N., & Llorens, A. J. (2021). The Active Sensing Testbed. Proceedings of the AAAI Conference on Artificial Intelligence, 35(18), 16108-16110. Retrieved from https://ojs.aaai.org/index.php/AAAI/article/view/18027