文章摘要信息 关键词 : 车道线检测 颜色特征 交变顺序滤波器 [gap=725]Keywords : lane detection;color feature;alternating sequential filter
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auotomatic lane detection for LDWS 自动车道检测
traffic lane detection 车道线检测
nighttime lane detection 夜间车道检测
lane detection and tracking 车道线检测与跟踪
Lane Departure Detection System 车道偏离检测系统
lane line detection 分道线检测
lane marking detection 车道线检测
Both-lane marking detection 双车道线检测
For robust recognition in various conditions, we propose three methods for lane detection; a robust white line detection using deformable template approach, an accurate line direction calculated using an equation, and an integration method of them.
在车道线检测中,对多种交通状况提出了三种鲁棒性很好的算法:用变形模板检测白色车道线,用方程精确计算车道线的方向,这两种方法的集成算法。
参考来源 - 采用DSP的智能车辆视觉系统的研究In this paper, the algorithms which are for all-days lane detection and the vehicle detection at night were studied.
本文主要针对全天时行道线检测算法的和夜间的前方车辆检测算法进行了研究。
参考来源 - 基于视觉的全天时车外安全检测算法研究Based on above studies,the paper proposes an algorithm for lane detection based on steerable filters.
基于以上研究,本文提出了一种基于方向可调滤波器的车道线识别算法。
参考来源 - 基于方向可调滤波器的车道线识别方法研究Vision navigation is the key technique of intelligent vehicle guidance, this paper researches the algorithm of lane detection for intelligent vehicles vision navigation system based image process.
视觉导航是智能车辆导航的一项关键技术,本文针对智能车辆视觉导航系统研究了基于图像检测的道路检测算法。
参考来源 - 智能车辆视觉导航中道路检测算法的研究Lane detection based on fitting classified section.
基于分段归类拟合算法的车道检测。
参考来源 - 基于分段归类拟合算法的车道偏离预警系统The method for lane detection is based on vision sensor fixed on the car. The paper presented two algorithms by analyzing the feature of the images from the camera: the algorithm based on Discrete Cosine Transform in frequency domain.
车道识别采用了基于视觉传感器的车道识别方法,通过分析车载摄像机获取的路面图像信息识别车道,提出了基于离散余弦变换的频率域识别算法。
参考来源 - 高速公路汽车追尾预警系统的研究·2,447,543篇论文数据,部分数据来源于NoteExpress
A lane detection and rebuilding method based on machine vision is proposed.
本文提出了一种基于机器视觉的车道检测与重建方法。
Lane detection and moving object detection that we studied are the key technologies in the vision navigation of the Autonomous Highway Vehicle (AHV).
本文针对自动驾驶汽车视觉导航中的车道检测和运动目标检测这两个关键技术进行了研究。
The text does obstacle detection for the picked image. The process contains pretreatment, denary, lane detection and mathematical morphology in road image.
对采集的道路图像中的障碍物进行边缘检测,其过程为:道路图像预处理、二值化、边缘检测和数学形态学处理。
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