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

被引：148

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

共 89 条

[21] Dong Y., 2012, ICCP2012 P
[22] Autonomous driving goes downtown
Franke, U
Gavrila, D
Gorzig, S
Lindner, F
Paetzold, F
Wohler, C
[J]. IEEE INTELLIGENT SYSTEMS & THEIR APPLICATIONS, 1998, 13 (06): : 40 - 48
[23] Fritsch J, 2013, IEEE INT C INTELL TR, P1693, DOI 10.1109/ITSC.2013.6728473
[24] Stable Road Lane Model Based on Clothoids
Gackstatter, C.
Heinemann, P.
Thomas, S.
Klinker, G.
[J]. ADVANCED MICROSYSTEMS FOR AUTOMOTIVE APPLICATIONS 2010: SMART SYSTEMS FOR GREEN CARS AND SAFE MOBILITY, 2010, : 133 - 143
[25] Lane Departure Identification for Advanced Driver Assistance
Gaikwad, Vijay
Lokhande, Shashikant
[J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2015, 16 (02) : 910 - 918
[26] Gehrig S. K., 2002, IEEE C INT TRANSP SY, P105
[27] Integrated Driver-Vehicle-Infrastructure Road Departure Warning Unit
Glaser, Sebastien
Mammar, Said
Sentouh, Chouki
[J]. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2010, 59 (06) : 2757 - 2771
[28] Hao Li, 2011, 2011 IEEE International Conference on Robotics and Biomimetics (ROBIO), P812, DOI 10.1109/ROBIO.2011.6181387
[29] Hou CZ, 2016, CHIN CONTR CONF, P6999, DOI 10.1109/ChiCC.2016.7554460
[30] Situation assessment and decision making for lane change assistance using ensemble learning methods
Hou, Yi
Edara, Praveen
Sun, Carlos
[J]. EXPERT SYSTEMS WITH APPLICATIONS, 2015, 42 (08) : 3875 - 3882

← 1 2 3 4 5 6 7 8 9 →