3 May 2018 Robust hierarchical reasoning over sensor data with the Soar cognitive architecture
Author Affiliations +
Abstract
Sensor fusion remains a difficult task, particularly in noisy environments or when data are incomplete. The Soar cognitive architecture provides the ability to reason over these data sources and make decisions based on the situational context. To feed into the reasoning system, we have created a hierarchical system of analysis components operating at differing levels of complexity. This approach of building up the reasoning system provides robust behavior is applicable across a variety of domains.
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Timothy Saucer, Timothy Saucer, Jacob Crossman, Jacob Crossman, } "Robust hierarchical reasoning over sensor data with the Soar cognitive architecture ", Proc. SPIE 10643, Autonomous Systems: Sensors, Vehicles, Security, and the Internet of Everything, 106430S (3 May 2018); doi: 10.1117/12.2304981; https://doi.org/10.1117/12.2304981
PROCEEDINGS
7 PAGES


SHARE
RELATED CONTENT

Revisions to the JDL data fusion model
Proceedings of SPIE (March 12 1999)
On the power of algorithm fusion
Proceedings of SPIE (October 18 2001)
Tracklets and a hybrid fusion with process noise
Proceedings of SPIE (October 29 1997)
Networking In Distributed Decision Fusion
Proceedings of SPIE (May 03 1988)

Back to Top