The Active Sensing Testbed

Lee Stearns, Neil Fendley, Ashley J. Llorens

AAAI 2021 pp. 16108-16110

doi:10.1609/AAAI.V35I18.18027 /aaai/2021/stearns2021aaai-active/

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.

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Cite

Text

Stearns et al. "The Active Sensing Testbed." AAAI Conference on Artificial Intelligence, 2021. doi:10.1609/AAAI.V35I18.18027

Markdown

[Stearns et al. "The Active Sensing Testbed." AAAI Conference on Artificial Intelligence, 2021.](https://mlanthology.org/aaai/2021/stearns2021aaai-active/) doi:10.1609/AAAI.V35I18.18027

BibTeX

@inproceedings{stearns2021aaai-active,
  title     = {{The Active Sensing Testbed}},
  author    = {Stearns, Lee and Fendley, Neil and Llorens, Ashley J.},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2021},
  pages     = {16108-16110},
  doi       = {10.1609/AAAI.V35I18.18027},
  url       = {https://mlanthology.org/aaai/2021/stearns2021aaai-active/}
}