Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4969584 | Pattern Recognition | 2018 | 50 Pages |
Abstract
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.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Vision and Pattern Recognition
Authors
Sandipann P. Narote, Pradnya N. Bhujbal, Abbhilasha S. Narote, Dhiraj M. Dhane,