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Priming for autonomous cognitive systems
Author(s): Mary Anne Fields; Craig Lennon; Michael Martin; Christian Lebiere
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Paper Abstract

Considering context and the relationship between objects and events in the environment is a key component to developing the situational awareness necessary to accomplish abstract goals or effectively share information. We extend state of the art perception algorithms, which can identify specific objects in the environment, using cognitive reasoning to develop a deeper understanding of the scene based on the both the objects and their spatial relationships. Such understanding could impact the choice of tasks, routes, or observation positions in a military mission.

Paper Details

Date Published: 18 May 2017
PDF: 12 pages
Proc. SPIE 10194, Micro- and Nanotechnology Sensors, Systems, and Applications IX, 1019421 (18 May 2017); doi: 10.1117/12.2262996
Show Author Affiliations
Mary Anne Fields, U.S. Army Research Lab. (United States)
Craig Lennon, U.S. Army Research Lab. (United States)
Michael Martin, Carnegie Mellon Univ. (United States)
Christian Lebiere, Carnegie Mellon Univ. (United States)


Published in SPIE Proceedings Vol. 10194:
Micro- and Nanotechnology Sensors, Systems, and Applications IX
Thomas George; Achyut K. Dutta; M. Saif Islam, Editor(s)

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