Sensor and data fusion for intelligent transportation systems / Lawrence A. Klein

By:

Klein, Lawrence A [VerfasserIn]

Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: SPIE press monograph ; 305Publisher: Bellingham, Washington, USA : SPIE Press, [2019]Copyright date: © 2019Description: 1 Online-Ressource (XVIII, 571 Seiten) : IllustrationenISBN:

9781510627659

Subject(s):

Additional physical formats: 9781510627666 | 9781510627673 | 9781510627642 | Erscheint auch als: 978-1-5106-2766-6 Online-Ausgabe, ePub | Erscheint auch als: 978-1-5106-2767-3 Online-Ausgabe, Kindle | Erscheint auch als: Sensor and data fusion for intelligent transportation systems. Druck-Ausgabe Bellingham, Washington, USA : SPIE Press, 2019. xviii, 235 SeitenDDC classification:

388.3/12

DOI: DOI: 10.1117/3.2525400Online resources:

Zugang im Netz des KIT

Summary: Sensor and data fusion in traffic management -- Bayesian inference for traffic management -- Dempster-Shafer evidential reasoning for traffic management -- Kalman filtering for traffic management -- State of the practice and research gapsSummary: "Sensor and Data Fusion for Intelligent Transportation Systems introduces readers to the roles of the data fusion processes defined by the Joint Directors of Laboratories (JDL) data fusion model, data fusion algorithms, and noteworthy applications of data fusion to ITS. Additionally, the monograph offers detailed descriptions of three of the widely applied data fusion techniques and their relevance to ITS (namely, Bayesian inference, Dempster-Shafer evidential reasoning, and Kalman filtering), and indicates directions for future research in the area of data fusion. The focus is on data fusion algorithms rather than on sensor and data fusion architectures, although the book does summarize factors that influence the selection of a fusion architecture and several architecture frameworks"--PPN: PPN: 1670730980Package identifier: Produktsigel: ZDB-50-SPI

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