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 technology has attracted increasing attention in the field of autonomous driving.
车道识别技术是自动驾驶领域的研究热点。
This paper includes the image pretreatment (edges. detection), lane detection and moving object detection.
文章的主要内容包括图像的预处理——边缘检测、车道检测和运动目标检测。
By using little trapeziform AOI, the image processing time is reduced and the reliability of lane detection is improved.
使用梯形小视野直线拟合法，减少图像处理时间和提高道路识别的可靠性。
The results of experiments show that the proposed method can effectively solve some issues in lane detection, and it is real-time and robust.
实验表明，本文的方法有效解决了车道检测过程中的若干问题，具有较好的实时性和鲁棒性。
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。
The hardware framework and working principle of the lane detection system composed of CMOS camera and DSP image processing module are introduced in detail in the paper.
介绍了由CMOS摄像头和DSP图像处理模块构成的车道识别系统的硬件结构及其工作原理，阐述并分析了一种改进霍夫变换的车道识别算法。
Experimental results show that the lane detection and the moving object detection and tracking algorithm in this paper are robust, efficient and suitable for real-time processing.
实验结果表明，本文提出的车道检测和车辆识别与跟踪方法是可行的，能够满足系统实时性和准确性的要求。
A multi-sectional lane switch model is proposed to make the lane model not only fit the lane shape accurately, but also meet the real-time requirements of the lane detection algorithm.
为了使得车道模型既能准确地描述车道形状，又不影响车道识别算法的实时性，提出了一种分段切换车道模型。
A high speed lane detection method that satisfies the safety requirements of outdoor mobile robots was developed based on the segment-line road model and augmented transition networks (ATN).
为了满足室外移动机器人高速安全行驶的要求，提出了一种基于分段直线模型和增强型状态转移网络(atn)的车道识别方法。
This paper can solve the key difficulty of lane detection, car detection and distance measurement based on central perspective principle and image process in order to alarm rear-end collision.
本文利用中心透视原理和图像处理的方法可以解决车道识别，车辆识别和车间距测量的关键难点，达到高速公路汽车追尾预警的目的。
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。
Vision navigation is the key technique of intelligent vehicle, and the lane and pedestrian detection is the most important technique.
视觉辅助导航是智能车辆导航领域的研究热点之一，其中道路与行人检测技术是其视觉导航系统的重要组成部分。
The road line detection is very important in vision navigation system of intelligent vehicle. The lane line detection should not be ignored in independence navigation.
在智能车辆的视觉导航系统中，车道线的检测有极其重要的作用，车道线的检测对于自主驾驶安全是不可忽视的。
The accurate detection of waterline will reduce overload phenomenon, which can help to claim ships which make damages to lane and protect the channel resources effectively.
吃水线准确的检测会减少“超吃水”现象的发生，便于对破坏航道的船舶进行索赔，切实保护航道资源、保障航道畅通。
This paper introduces an user behavior anomaly detection model based on machine learning originated mainly by Terran Lane. Then it presents an improved anomaly detection model.
该文对一种基于机器学习的用户行为异常检测模型进行了描述，在此基础上提出一种改进的检测模型。
The upper-premium A8 also gets blind-spot detection and lane-departure warning systems.
高配A8还还增加了全新的安全配置，装配了视觉盲点和车道偏离警报系统。
This paper presents an algorithm combining scan line and region-growing method based on video images analysis, in which lane-marking recognition and driving deviation detection are realized.
为了实时检测到行车偏移信息，提出了一种基于扫描线与区域生长相结合的视频图像分析算法，从而实现了多种道路车道标线和行车偏移的自动检测。
This paper presents an algorithm combining scan line and region-growing method based on video images analysis, in which lane-marking recognition and driving deviation detection are realized.
为了实时检测到行车偏移信息，提出了一种基于扫描线与区域生长相结合的视频图像分析算法，从而实现了多种道路车道标线和行车偏移的自动检测。
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