Lane Keeping Algorithm for Off-The-Shelf Wide-Angle Camera

被引:0
|
作者
Kyaw KoKo HTET [1 ]
Kok Kiong TAN [1 ]
机构
[1] Department of Electrical and Computer Engineering,National University of Singapore
关键词
Automotive accidents; Autonomous driving; Road detection; Steering control; Lane detection; Lane keeping; Sensing with mono camera;
D O I
10.15878/j.cnki.instrumentation.2019.02.007
中图分类号
U463.6 [电气设备及附件];
学科分类号
摘要
Automobile accidents cost over a trillion-do llar every year and this figure will continue increasing without employing new technological solutions.Among these solutions,the automated lane-keeping system is one of the promising ones and such a system consists of two essential technologies:road detection and steering control.In this paper,novel lane keeping algorithms are proposed and are implemented using only a single off-the-shelf wide-angle camera as input.The implemented system is verified,through both simulation and experiments,and is found providing satisfactory performance for an automated lane-keeping system.When compared to the state-of-the-art lane-keeping systems,the implemented system can perform consistently across various ambient light conditions including the most challenging ones.
引用
收藏
页码:49 / 62
页数:14
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