Lane detection for a steering assistance system

被引：0
|
作者：
Watanabe, A [1 ]
Nishida, M [1 ]
机构：
[1] Toyota Cent Res & Dev Labs Inc, Nagakute, Aichi 4801192, Japan
来源：
2005 IEEE Intelligent Vehicles Symposium Proceedings | 2005年
关键词：
image recognition; machine vision; pattern recognition; robustness;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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 group detected edge points into lines, using a road surface with IS 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.
引用
收藏
页码：159 / 164
页数：6
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