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2021 | OriginalPaper | Chapter

Vehicle Localization Using Infrastructure Sensing

Authors : Holger Digel, Michael Gabb, Lukas Erlinghagen, Eric Sax

Published in: Intelligent System Solutions for Auto Mobility and Beyond

Publisher: Springer International Publishing

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Abstract

Infrastructure supported autonomous driving is getting in the focus of current research. In this work, we investigated the usage of a traffic monitoring infrastructure combined with the environmental model of an autonomous driving vehicle for localization. The forwarded environmental model of the infrastructure contains tracked road users, but the used tracking algorithm is unknown. The result is based on a two-stage transformation process with optimized fusion and tracking by a Kalman filter. Experiments show, that the algorithm provides a consistent localization at the first time step.

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Metadata
Title
Vehicle Localization Using Infrastructure Sensing
Authors
Holger Digel
Michael Gabb
Lukas Erlinghagen
Eric Sax
Copyright Year
2021
Book
Intelligent System Solutions for Auto Mobility and Beyond

Print ISBN: 978-3-030-65870-0

Electronic ISBN: 978-3-030-65871-7

Copyright Year: 2021

DOI
https://doi.org/10.1007/978-3-030-65871-7_1

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