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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| 団体著者: | |
| フォーマット: | 電子媒体 eBook |
| 言語: | English |
| 出版事項: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2014.
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| 版: | 1st ed. 2014. |
| シリーズ: | Mathematical Engineering,
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| 主題: | |
| オンライン･アクセス: | https://doi.org/10.1007/978-3-642-39271-9 |
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目次:
- 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.