转化(遗传学)
霍夫变换
计算机视觉
计算机科学
图像(数学)
参数统计
人工智能
钥匙(锁)
平方(代数)
空格(标点符号)
高级驾驶员辅助系统
算法
数学
几何学
操作系统
统计
基因
生物化学
化学
计算机安全
作者
Byambaa Dorj,Deok Hee Lee
摘要
The next promising key issue of the automobile development is a self-driving technique. One of the challenges for intelligent self-driving includes a lane-detecting and lane-keeping capability for advanced driver assistance systems. This paper introduces an efficient and lane detection method designed based on top view image transformation that converts an image from a front view to a top view space. After the top view image transformation, a Hough transformation technique is integrated by using a parabolic model of a curved lane in order to estimate a parametric model of the lane in the top view space. The parameters of the parabolic model are estimated by utilizing a least-square approach. The experimental results show that the newly proposed lane detection method with the top view transformation is very effective in estimating a sharp and curved lane leading to a precise self-driving capability.
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