Tracking and Sensor Data Fusion: Methodological Framework and Selected Applications - Tapa blanda

Sinopsis

Notion and Structure of Sensor Data Fusion.- Part I Sensor Data Fusion: Methodological Framework.- Objects and Sensors.- Bayesian Knowledge Propagation.- Sequential Track Extraction.- On Recursive Batch Processing.- Aspects of Track-to-Track Fusion.- Part II Sensor Data Fusion: Selected Applications.- Integration of Advanced Sensor Properties.- Integration of Advanced Object Properties.- Integration of Topographical Information.- Feed-back to Acquisition: Sensor Management.

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