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This paper examines the problem of detecting and classifying objects in Earth orbit using a space-augmented space surveillance network (SA-SSN). A SA-SSN uses a combination of ground- and space-based sensors to monitor activities over a range of space orbits from low earth orbits up to an altitude higher than the geosynchronous orbit. We develop a cost-aware Bayesian risk analysis approach for object...
In this paper, a novel dynamic awareness model is proposed and applied to coverage control over large-scale task domains using a decentralized multi-vehicle sensor network with intermittent communications and/or faulty sensors. For each vehicle, an individual state of awareness is defined. The individual vehicle's state of awareness continuously evolves based on the vehicle's motion and is updated...
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