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Published in:
Introduction to Intelligent Vehicles Read chapter Read first chapter

2012 | OriginalPaper | Chapter

Perception Tasks: Lane Detection

Authors : Luca Mazzei, Dr. Paolo Zani

Published in: Handbook of Intelligent Vehicles

Publisher: Springer London

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Abstract

The localization of painted road markings is a key aspect of environment reconstruction in urban, rural, and highway areas, allowing a precise definition of the safely drivable area in front of the vehicle.
Lane detection algorithms are largely exploited by active safety systems in the automotive field, with the aim of warning the driver against unintended road departures, but are also essential in fully autonomous vehicles, since they complement the data coming from other sources, like digital maps, making it possible to navigate precisely even in complex scenarios.
This chapter introduces potential approaches and requirements for lane detection and describes in detail one of such algorithms and its results.

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previous chapter Camera Technologies
next chapter Perception Tasks: Obstacle Detection
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Metadata
Title
Perception Tasks: Lane Detection
Authors
Luca Mazzei
Dr. Paolo Zani
Copyright Year
2012
Publisher
Springer London
Book
Handbook of Intelligent Vehicles

Print ISBN: 978-0-85729-084-7

Electronic ISBN: 978-0-85729-085-4

Copyright Year: 2012

DOI
https://doi.org/10.1007/978-0-85729-085-4_40

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