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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Main Author: | |
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Format: | eBook |
Language: | English |
Published: |
Bellingham, Washington, USA
SPIE Press
[2019]
|
Series: | SPIE Press monograph
PM305 |
Links: | https://app.knovel.com/hotlink/toc/id:kpSDFITS05/sensor-and-data?kpromoter=marc |
Summary: | "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"-- Provided by publisher |
Item Description: | Title from PDF title page (SPIE eBooks Website, viewed 2019-06-26). |
Physical Description: | 1 Online-Ressource (254 Seiten) |
ISBN: | 1510627650 9781510627659 |
Staff View
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id | ZDB-10-ESC-on1107275079 |
illustrated | Not Illustrated |
indexdate | 2025-03-19T15:55:53Z |
institution | BVB |
isbn | 1510627650 9781510627659 |
language | English |
open_access_boolean | |
owner | DE-91 DE-BY-TUM |
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physical | 1 Online-Ressource (254 Seiten) |
psigel | ZDB-10-ESC TUM_PDA_ESC ZDB-10-ESC |
publishDate | 2019 |
publishDateSearch | 2019 |
publishDateSort | 2019 |
publisher | SPIE Press |
record_format | marc |
series2 | SPIE Press monograph |
spelling | Klein, Lawrence A. Sensor and data fusion for intelligent transportation systems Lawrence A. Klein Bellingham, Washington, USA SPIE Press [2019] ©2019 1 Online-Ressource (254 Seiten) txt c cr SPIE Press monograph PM305 Title from PDF title page (SPIE eBooks Website, viewed 2019-06-26). "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"-- Provided by publisher Erscheint auch als Druck-Ausgabe 1510627642 Erscheint auch als Druck-Ausgabe 9781510627642 |
spellingShingle | Klein, Lawrence A. Sensor and data fusion for intelligent transportation systems |
title | Sensor and data fusion for intelligent transportation systems |
title_auth | Sensor and data fusion for intelligent transportation systems |
title_exact_search | Sensor and data fusion for intelligent transportation systems |
title_full | Sensor and data fusion for intelligent transportation systems Lawrence A. Klein |
title_fullStr | Sensor and data fusion for intelligent transportation systems Lawrence A. Klein |
title_full_unstemmed | Sensor and data fusion for intelligent transportation systems Lawrence A. Klein |
title_short | Sensor and data fusion for intelligent transportation systems |
title_sort | sensor and data fusion for intelligent transportation systems |
work_keys_str_mv | AT kleinlawrencea sensoranddatafusionforintelligenttransportationsystems |