1. 南京航空航天大学自动化学院
2. 南京航空航天大学自动化学院,江苏,南京,210016
纸质出版:2006
移动端阅览
[1]王强,王友仁,王永明.基于场景匹配与可重构技术的自适应道路检测[J].传感器与微系统,2006(01):69-72.
WANG Qiang, WANG You-ren, WANG Yong-ming. Self-adaptive road detection based on road scene matching and reconfigurable hardware technique[J]. 2006, (1): 69-72.
[1]王强,王友仁,王永明.基于场景匹配与可重构技术的自适应道路检测[J].传感器与微系统,2006(01):69-72. DOI: 10.13873/j.1000-97872006.01.025.
WANG Qiang, WANG You-ren, WANG Yong-ming. Self-adaptive road detection based on road scene matching and reconfigurable hardware technique[J]. 2006, (1): 69-72. DOI: 10.13873/j.1000-97872006.01.025.
车辆视觉辅助导航系统要求具有很高的鲁棒性和实时性。而视觉处理系统中
单一算法很难克服环境变化产生的影响
做到各种道路环境下的最优。针对目前这一研究难点
提出了基于道路场景匹配和硬件可重构技术的自适应道路检测方法。该方法基于道路场景分类来实现算法与道路场景的最佳匹配
利用可重构硬件来实现硬件算法功能的实时自适应重构
由此实现车辆视觉辅助导航自适应道路检测。实验结果表明:该方法具有检测性能好、鲁棒性强、实时性高的优点
检测正确率达到了90.17%
较好地解决了检测系统自适应性与实时性之间的矛盾。
Vision subsidiary navigation system must be high reality and robustness
but no one algorithm in it can overcome the influence brought by the variational surroundings
and be the best in all kinds of road conditions.The self-adaptive road detection method based on reconfigurable hardware technique and road scene matching is presented
which implements the best matching between algorithms and scenes based on the classification of road scenes
and implements algorithm hardware reconfiguration in real time based on reconfigurable hardware
to realizes self-adaptive road detection in vehicle vision navigation.Experiments show it has advantage of good test performance
strong robust
high reality.Detecting precision can reach 90.17 %
and it indicated that this method settles the conflict between self-adaptability and reality in detection system.
基于计算机视觉高速智能车辆的道路识别 [J]. 王荣本,游峰,崔高健,郭烈. 计算机工程与应用 . 2004(26)
一种基于直线模型的道路识别算法研究 [J]. 徐友春,王荣本,李克强,赵玉凡. 中国图象图形学报 . 2004(07)
道路检测算法及其DSP实时实现 [J]. 邢征北,郑南宁,刘铁,程洪. 微电子学与计算机 . 2004(05)
可重构计算的硬件结构 [J]. 李仁发,周祖德,陈幼平,徐成,李方敏. 计算机研究与发展 . 2003(03)
采用快速路面重建的车道和障碍物检测新方法 [J]. 郁梅,蒋刚毅. 仪器仪表学报 . 2002(02)
基于边缘提取和特征跟踪的道路检测算法 [J]. 廖传锦,黄席樾,柴毅,汪先矩,刘卫红. 重庆大学学报(自然科学版) . 2002(01)
A Color Vision-Based Lane Tracking System for Autonomous Driving on Unmarked Roads [J] . Miguel Angel Sotelo,Francisco Javier Rodriguez,Luis Magdalena,Luis Miguel Bergasa,Luciano Boquete. Autonomous Robots . 2004 (1)
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