Tracking and Sensor Data Fusion Methodological Framework and Selected Applications /

• Κύριος συγγραφέας: Koch, Wolfgang (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2014.
• Σειρά: Mathematical Engineering,
• Θέματα: Engineering.; Artificial intelligence.; Statistics.; Signal, Image and Speech Processing.; Artificial Intelligence (incl. Robotics).; Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.

Sensor Data Fusion is the process of combining incomplete and imperfect pieces of mutually complementary sensor information in such a way that a better understanding of an underlying real-world phenomenon is achieved. Typically, this insight is either unobtainable otherwise or a fusion result exceed...

Πίνακας περιεχομένων:

• 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.