Bayesian Approach for Reliable GNSS-based Vehicle Localization in Urban Areas

Bayesian Approach for Reliable GNSS-based Vehicle Localization in Urban Areas

Nowadays, satellite-based localization is a well-established technical solution to support several navigation tasks in daily life. Besides the application inside of portable devices, satellite-based positioning is used for in-vehicle navigation systems as well. Moreover, due to its global coverage a...

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Bibliographic Details
Main Author: Obst, Marcus
Other Authors: TU Chemnitz, Fakultät für Elektrotechnik und Informationstechnik
Format: Doctoral Thesis
Language:English
Published: Universitätsbibliothek Chemnitz 2015
Subjects:
Bayes Filter
Fahrzeuglokalisierung
GPS
GNSS
Integrität
EGNOS
Zuverlässigkeit
Städtische Gebiete
Bayesian Filtering
Vehicle Localization
Multipath Mitigation
Integrity
NLOS
Reliability
Urban Environment
ddc:620
Bayes-Verfahren
Lokalisation
Online Access:http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-162894
http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-162894
http://www.qucosa.de/fileadmin/data/qucosa/documents/16289/Dissertation_Marcus_Obst.pdf
http://www.qucosa.de/fileadmin/data/qucosa/documents/16289/signatur.txt.asc

Internet

http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-162894
http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-162894
http://www.qucosa.de/fileadmin/data/qucosa/documents/16289/Dissertation_Marcus_Obst.pdf
http://www.qucosa.de/fileadmin/data/qucosa/documents/16289/signatur.txt.asc

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