Title :
A Real-time Lane Detection Algorithm Based on a Hyperbola-Pair Model
Author :
Chen, Qiang ; Wang, Hong
Author_Institution :
Dept. of Comput. Sci. & Technol., Tsinghua Univ., Beijing
Abstract :
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
Keywords :
driver information systems; hyperbola-pair lane boundary model; pair road boundary model; parallel hyperbola; partial occlusion; real-time lane detection algorithm; Clustering algorithms; Computer science; Data mining; Detection algorithms; Intelligent systems; Laboratories; Least squares methods; Real time systems; Roads; Shape;
Conference_Titel :
Intelligent Vehicles Symposium, 2006 IEEE
Conference_Location :
Tokyo
Print_ISBN :
4-901122-86-X
DOI :
10.1109/IVS.2006.1689679
