A Real-time Lane Detection Algorithm Based on a Hyperbola-Pair Model

In this paper; we propose a real-time lane detection algorithm based on a hyperbola-pair lane boundary model. In stead of modeling each road boundary separately, we propose a model to describe the road boundary as two parallel hyperbolas on ground plane. By fitting points on pair road boundaries int...

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Bibliographic Details
Published in2006 IEEE Intelligent Vehicles Symposium pp. 510 - 515
Main Authors Qiang Chen, Wang, Hong
Format Conference Proceeding
LanguageEnglish
Japanese
Published IEEE 2006
Subjects
Clustering algorithms
Computer science
Data mining
Detection algorithms
Intelligent systems
Laboratories
Least squares methods
Real time systems
Roads
Shape
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ISBN490112286X
9784901122863
ISSN1931-0587
DOI10.1109/IVS.2006.1689679

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Summary:In this paper; we propose a real-time lane detection algorithm based on a hyperbola-pair lane boundary model. In stead of modeling each road boundary separately, we propose a model to describe the road boundary as two parallel hyperbolas on ground plane. By fitting points on pair road boundaries into this model, our method is able to make full use of road boundaries with existence of partial occlusion. Experiment in many different conditions, including various weather and road, demonstrates its high performance and accuracy.
ISBN:490112286X
9784901122863
ISSN:1931-0587
DOI:10.1109/IVS.2006.1689679