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Situation Recognition in Dynamic Multi-Agent Systems

The goal of this project is to develop a model for spatio-temporal situations using hidden Markov models based on relational state descriptions, which are extracted from the estimated state of an underlying dynamic system. Our model covers concurrent situations, scenarios with multiple agents, and situations of varying durations.

Funded by the Siemens Corporate Technology, Siemens AG, Munich, Germany.

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