Title :
Lane detection for a steering assistance system
Author :
Watanabe, Akihiro ; Nishida, MaKoto
Author_Institution :
Toyota Central R&D Labs., Inc., Aichi, Japan
Abstract :
In this paper, a lane detection algorithm for a steering assistance system (SAS) is introduced. Our aim is to develop a lane detection sensor that is sufficiently robust to enable it to be applied to the SAS without the need for application specific hardware. For this purpose, we simplify the process that groups detected edge points into lines, using a road surface with low resolution. Additionally, we use a method to select the correct lane boundary lines from multiple candidates using pattern matching for scenes where lane boundaries are complex. Our algorithm has been implemented on simple hardware consisting of a CMOS imager and two microprocessors.
Keywords :
CMOS image sensors; computer vision; driver information systems; edge detection; image matching; CMOS imager; edge point detection; image recognition; lane boundary lines; lane detection algorithm; lane detection sensor; machine vision; microprocessors; pattern matching; pattern recognition; steering assistance system; Alarm systems; Automobiles; Image edge detection; Programmable control; Research and development; Road accidents; Road safety; Robustness; Synthetic aperture sonar; Vehicle safety;
Conference_Titel :
Intelligent Vehicles Symposium, 2005. Proceedings. IEEE
Print_ISBN :
0-7803-8961-1
DOI :
10.1109/IVS.2005.1505095
