Lane detection using histogram-based segmentation and decision trees

被引：47

作者：

González, JP ^{[1
]}

Özgüner, T ^{[1
]}

机构：

[1] Gen Dynam Robot Syst, Westminster, MD 21157 USA

来源：

2000 IEEE INTELLIGENT TRANSPORTATION SYSTEMS PROCEEDINGS | 2000年

关键词：

lane detection; histogram-based; image segmentation; decision trees;

D O I：

10.1109/ITSC.2000.881084

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

A vision system for Intelligent Vehicles is proposed here. The system exploits the characteristics of the gray level histogram of the road to detect lane markers. Each lane marker is then analyzed using a decision tree and finally the relations between lane markers are analyzed to create structures defining the lane boundaries. The resulting system also generates images that can be used as preprocessing stages in lane detection, lane tracking or obstacle detection algorithms. The system runs in realtime at rates of about 30 Hz.

引用

页码：346 / 351

页数：6

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