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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| Author / Creator: | |
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| Other Corporate Authors / Creators: | SpringerLink (Online service) |
| Format: | Electronic eBook |
| Language: | English |
| Edition: | 1st ed. 2014. |
| Imprint: | Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2014. |
| Series: | Mathematical Engineering,
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| Subjects: | |
| Online Access: | Available in Springer Engineering eBooks 2014 English/International. |
Table of Contents:
- 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.