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Keep your distance, automated driving vehicle! : Toward an accurate localization solutions for automotive applications

  • An autonomous vehicle is a robotic vehicle with decision and action capability capable of performing assigned tasks without or with minimal human intervention. Autonomous cars have been in development for many years. The Society of Automotive Engineers (SAE International) published in 2014 a classification in five levels of driving automation, with level 0 corresponding to completely manual driving, and level 5 to an ideal dream where the vehicle would be able to navigate entirely autonomously for all missions and in all environments. This work addressed the navigation of an autonomous vehicle in general. We focus on one of the most complex scenarios of the road network and crossing of road intersections. In this paper, the critical features of autonomous intelligent vehicles are reviewed. Furthermore, the associated problems are presented, and the most advanced solutions are derived. This article aims to allow a novice in this field to understand the different facets of localization and perception problems for autonomous vehicles.

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Metadaten
Author of HS ReutlingenZimmermann, Alfred
Editor of HS Reutlingen:Zimmermann, Alfred
DOI:https://doi.org/10.1007/978-981-19-3455-1_10
ISBN:978-981-19-3455-1
ISBN:978-981-19-3454-4
Erschienen in:Human centred intelligent systems : proceedings of KES-HCIS 2022 conference ; Smart innovation, systems and technologies, volume 310
Publisher:Springer
Place of publication:Singapore
Editor:Alfred ZimmermannORCiD, Robert Howlett, Lakhmi Jain
Document Type:Conference proceeding
Language:English
Publication year:2022
Tag:autonomous vehicle; intelligent transportations systems; lidar; self-localization
Page Number:11
First Page:137
Last Page:147
PPN:Im Katalog der Hochschule Reutlingen ansehen
DDC classes:004 Informatik
Open access?:Nein
Licence (German):License Logo  In Copyright - Urheberrechtlich geschützt