Copyright © 2006 The Institute of Electronics, Information and Communication Engineers
Special Section on Machine Vision Applications -- Papers -- Intelligent Transport Systems |
A Reliable and Robust Lane Detection System Based on the Parallel Use of Three Algorithms for Driving Safety Assistance
1 The authors are with the Vehicle-Infrastructure-Driver Interactions Research Unit LIVIC - INRETS/LCPC, France. E-mail: labayrade{at}lcpc.fr, 2 The authors are with the LASMEA Research Unit - Universit Blaise Pascal, France.
Road traffic incidents analysis has shown that a third of them occurs without any conflict which indicates problems with road following. In this paper a driving safety assistance system is introduced, whose aim is to prevent the driver drifting off or running off the road. The road following system is based on a frontal on-board monocular camera. In order to get a high degree of reliability and robustness, an original combination of three different algorithms is performed. Low level results from the first two algorithms are used to compute a reliability indicator and to update a high level model through the third algorithm using Kalman filtering. Searching areas of the road sides for the next image are also updated. Experimental results show the reliability and the robustness of this original association of three different algorithms. Various road situations are addressed, including roads with high curvature. A multi-lanes extension is also presented.
Key Words: road detection, single camera, reliable low level detection, high level model
Manuscript received October 27, 2005. Manuscript revised January 19, 2006.