Spatiotemporal Clustering for Aggregating Hostile Units in Cluttered Environments

We describe a novel clustering approach for aggregating mobile (typically potentially hostile) units in cluttered urban environments. The approach consists of a suite of spatiotemporal clustering algorithms that leverage the wealth of military sensor data available to provide insight into "what...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Das, S., Kanjilal, P., Lawless, D.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Algorithm design and analysis Cities and towns Clustering algorithms Computational modeling Intelligent vehicles Military computing Pattern recognition Performance analysis situation assessment Spatiotemporal clustering Spatiotemporal phenomena Time series analysis urban warfare
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