Lane Finding for Autonomous Driving

被引：0

作者：

Sztyber, Lukasz ^{[1
]}

机构：

[1] Polish Acad Sci, Syst Res Inst, Warsaw, Poland

来源：

AUTOMATION 2019: PROGRESS IN AUTOMATION, ROBOTICS AND MEASUREMENT TECHNIQUES | 2020年 / 920卷

关键词：

Autonomous driving; Lane finding; Computer vision; Sobel filter; Sliding histogram window technique;

D O I：

10.1007/978-3-030-13273-6_41

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The problem of lane finding is one of the main components of scene understanding for autonomous driving. This paper presents the application of computer vision to lane finding on motorways. This technique is used to transform an image captured by a camera into binary form and apply a moving histogram window to derive the most likely position of the lane markers. It is proved to be fast enough to operate in real-time conditions.

引用

页码：428 / 444

页数：17

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