RTS Automation and Decision Support.

Abstract

As missions become more complex and challenging, operator workload increases significantly. This activity improves automation and decision support to reduce human operator workload and operator errors associated with a higher workload. There will be additional capabilities to operate the range as a cohesive meta-sensor with capabilities to program contingencies, react with a priori information and decision algorithms and resource brokers. This will improve mission assurance. The RTS radar control software will be upgraded to automate processes that computers do better than humans, and reduce the need for labor intensive tuning efforts. The human computer interface (HCI) for the radars will be improved to allow operators to interact with the RTS sensor suite more intuitively with a small set of high-level commands. The control center data fusion algorithms will be improved and streamlined to reduce complexity and decrease operator workload.

Document Details

Document Type
Accomplishment
Publication Date
Oct 01, 2019
Source ID
9552e6c845ae7f810bceb4c93659e0da

Tags

Fields of Study

  • Computer science

Readers

  • Aerospace Engineering.
  • Distributed Systems and Data Platform Development
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

  • Fully Networked C3
  • Fully Networked C3 - Command and Control

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