霍夫变换
Canny边缘检测器
计算机视觉
人工智能
计算机科学
边缘检测
直线(几何图形)
GSM演进的增强数据速率
Guard(计算机科学)
线段
图像(数学)
模式识别(心理学)
图像处理
数学
几何学
程序设计语言
作者
Yadi Li,Liguo Chen,Haibo Huang,Xiangpeng Li,Wujiao Xu,Zheng Liang,Jiaqi Huang
标识
DOI:10.1109/rcar.2016.7784064
摘要
It is difficult to detect the nighttime lane lines which showed darker and uneven lighted. In order to overcome these problems, a lane recognition method was proposed. Firstly, edge enhancement based on Laplacian was used to enhance the pre-processing image's edges. Then, the edges were detected by Canny based on Otsu algorithm and the straight lines which within the one third at bottom of image were detected by Hough transform. Finally, an inside lane line extraction algorithm was proposed on the basis of slope constraint. Thereby, the aim of marking the inside lane was realized. By experimenting with various lane markers, the proposed algorithm can realize the detection. Moreover, the approach can overcome the influence of uneven light and be able to eliminate the interference from the side lane line, guard rail, etc. Lane line detection is conducive to the vehicle running on its road.
科研通智能强力驱动
Strongly Powered by AbleSci AI