| 基于立体视觉的道路自动检测算法 |
| |
| 引用本文： | 方晓莹,刘富强. 基于立体视觉的道路自动检测算法[J]. 河南师范大学学报(自然科学版), 2009, 37(2) |
| |
| 作者姓名： | 方晓莹 刘富强 |
| |
| 作者单位： | 同济大学,信息与通信工程系,上海,200092;浙江国际海运职业技术学院,浙江,舟山,316021;同济大学,信息与通信工程系,上海,200092 |
| |
| 基金项目： | 浙江省高校优秀青年教师资助项目 |
| |
| 摘 要： | 在智能驾驶系统中,道路边界及道路参数的自动检测是最为关键的问题,也是安全行驶的基本保证.传统的检测方法与单目视觉检测都存在检测精度不高,鲁棒性不够等问题.提出了一种基于立体视觉的道路检测算法,消除了对道路的一般性假设,对三维道路状态能进行快速有效地检测与跟踪,保证行驶的安全性.
|
| 关 键 词： | 立体视觉 道路识别 道路跟踪 扩展卡尔曼滤波 |
Lane Detection Algorithm Based on 3D Vision |
| |
| FANG Xiao-ying,LIU Fu-qiang. Lane Detection Algorithm Based on 3D Vision[J]. Journal of Henan Normal University(Natural Science), 2009, 37(2) |
| |
| Authors: | FANG Xiao-ying LIU Fu-qiang |
| |
| Affiliation: | 1.Information and Communication Engineering;Tongji University;Shanghai 200092;China;2.Zhejiang International Maritime College;Zhoushan 316021;China |
| |
| Abstract: | In the Driving Assistance System,the detection of the lane is the mostly important problem,and it is the guarantee for safe driving.The traditional detection and monocular detection have some disadvantages,such as low accuracy and low robust.A lane detection algorithm based on 3D vision can detect the lane fast and effectively on the driving.Even though there are disturbances round the road markings,the system is very robust and can provide efficient information. |
| |
| Keywords: | 3D vision lane detection lane tracking extended Kalman filter |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
|
