A review of recent advances in lane detection and departure warning system

被引：141

作者：

Narote, Sandipann P. ^{[1
]}

Bhujbal, Pradnya N. ^{[2
]}

Narote, Abbhilasha S. ^{[3
]}

Dhane, Dhiraj M. ^{[4
]}

机构：

[1] Govt Women Residence Polytech, Dept E&TC, Tasgaon Sangli, India

[2] TCS, Mumbai, Maharashtra, India

[3] Smt Kashibai Navale Coll Engn, Pune, Maharashtra, India

[4] Indian Inst Informat Technol, ECE, Pune, Maharashtra, India

来源：

PATTERN RECOGNITION | 2018年 / 73卷

关键词：

Edge detection; Feature extraction; Lane departure measurement; Lane detection; Lane modeling; VISION SYSTEM; TRACKING; EXTRACTION; ASSISTANCE; FILTER; MODEL;

D O I：

10.1016/j.patcog.2017.08.014

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Statistics show that worldwide motor vehicle collisions lead to significant deaths and disabilities as well as substantial financial costs to both society and the individuals involved. Unintended lane departure is a leading cause of road fatalities by the collision. To reduce the number of traffic accidents and to improve driver's safety lane departure warning (LDW), the system has emerged as a promising tool. Vision-based lane detection and departure warning system has been investigated over two decades. During this period, many different problems related to lane detection and departure warning have been addressed. This paper provides an overview of current LDW system, describing in particular pre-processing, lane models, lane de Ntection techniques and departure warning system. (C) 2017 Elsevier Ltd. All rights reserved.

引用

页码：216 / 234

页数：19

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