Lane Detection with Deep Learning: Methods and Datasets

被引：0
|
作者：
Li, Junyan [1 ]
机构：
[1] Shandong Univ, Sch Mech Elect & Informat Engn, Weihai 264209, Peoples R China
来源：
INFORMATION TECHNOLOGY AND CONTROL | 2023年 / 52卷 / 02期
关键词：
Lane Detection; Deep Learning; Convolutional Neural Network; Dataset;
D O I：
10.5755/j01.itc.52.2.32841
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Lane detection problem has been considered as an important computer vision task in autonomous driving. While it has received massive research attention in the literature, the problem is not yet fully solved. In this paper, a comprehensive literature review for lane detection, especially those with deep learning models, is presented. Furthermore, the latest collection of lane detection datasets is presented. The research gap is further filled by proposing a novel lane detection dataset named MudLane, which focuses on the lane detection task on suburban roads.
引用
收藏
页码：297 / 308
页数：12
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