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...
Saved in:
| 主要作者: | |
|---|---|
| 企業作者: | |
| 格式: | 電子 電子書 |
| 語言: | English |
| 出版: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2014.
|
| 版: | 1st ed. 2014. |
| 叢編: | Mathematical Engineering,
|
| 主題: | |
| 在線閱讀: | https://doi.org/10.1007/978-3-642-39271-9 |
| 標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
書本目錄:
- 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.