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Tracking and Sensor Data Fusion: Methodological Framework and Selected Applications
Paperback
Series: Mathematical Engineering
Technology & EngineeringGeneral ComputersProbability & Statistics
ISBN13: 9783662520161
Publisher: Springer Nature
Published: Aug 23 2016
Pages: 253
Weight: 0.85
Height: 0.57 Width: 6.14 Depth: 9.21
Language: English
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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