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Sensor and data fusion for intelligent transportation systems /

"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 monogr...

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Détails bibliographiques
Cote:Libro Electrónico
Auteur principal: Klein, Lawrence A. (Auteur)
Format: Électronique eBook
Langue:Inglés
Publié: Bellingham, Washington, USA : SPIE Press, [2019]
Collection:SPIE Press monograph ; PM305.
Sujets:
Accès en ligne:Texto completo
Description
Résumé:"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"--
Description:Title from PDF title page (SPIE eBooks Website, viewed 2019-06-26).
Description matérielle:1 online resource (254 pages)
Bibliographie:Includes bibliographical references and index.
ISBN:1510627650
9781510627659