A data collection decision-making framework for a multi-tier collaboration of heterogeneous orbital, aerial, and ground craft

Jeremy Straub

doi:10.1117/12.2019115

22 May 2013 A data collection decision-making framework for a multi-tier collaboration of heterogeneous orbital, aerial, and ground craft

Jeremy Straub

Author Affiliations +

Proceedings Volume 8742, Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR IV; 87420R (2013) https://doi.org/10.1117/12.2019115
Event: SPIE Defense, Security, and Sensing, 2013, Baltimore, Maryland, United States

Abstract

An algorithm for the autonomous identification of and tasking to collect additional data required to complete a goal is presented. This assertion-form goal is decomposed autonomously into an initial set of data collection tasks. Once these are completed, information gaps may exist or new information collection requirements may be identified. A utilitymaximization, cost-minimization metric is applied to ascertain what data collection tasks craft should be assigned. This decision making process is performed at each level of the hierarchy, decomposing large-scale needs into progressively smaller assignments. The utility of this control approach is assessed for persistent surveillance and planetary science applications.

Citation Download Citation

Jeremy Straub "A data collection decision-making framework for a multi-tier collaboration of heterogeneous orbital, aerial, and ground craft", Proc. SPIE 8742, Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR IV, 87420R (22 May 2013); https://doi.org/10.1117/12.2019115

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