GNSS Position Error Estimated by Machine Learning Techniques with Environmental Information Input

GNSS Position Error Estimated by Machine Learning Techniques with Environmental Information Input

In Intelligent Transport Systems (ITS), specifically in autonomous driving operations, accurate vehicle localization is essential for safe operations. The localization accuracy depends on both position and positioning error estimates. Technologies aiming to improve positioning error estimation are r...

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Bibliographic Details
Main Author: Kuratomi, Alejandro
Format: Others
Language:English
Published: KTH, Skolan för industriell teknik och management (ITM) 2019
Subjects:
Global Navigation Satellite Systems
GNSS
Position
Positioning error
Machine Learning
Decision Trees
Support Vector Machines.
positionsfel
Maskinlärning
Beslut träd
Stödvektormaskiner.
Engineering and Technology
Teknik och teknologier
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-262692

Internet

http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-262692

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