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Tracking and Sensor Data Fusion Methodological Framework and Selected Applications /

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...

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Hlavní autor: Koch, Wolfgang. (Autor, http://id.loc.gov/vocabulary/relators/aut)
Korporativní autor: SpringerLink (Online service)
Médium: Elektronický zdroj E-kniha
Jazyk:English
Vydáno: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2014.
Vydání:1st ed. 2014.
Edice:Mathematical Engineering,
Témata:
Signal processing.
Image processing.
Speech processing systems.
Artificial intelligence.
Statistics .
Signal, Image and Speech Processing.
Artificial Intelligence.
Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
On-line přístup:https://doi.org/10.1007/978-3-642-39271-9
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Obsah:
  • 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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