A REVIEW PAPER ON INTELLIGENT LANE DEPARTURE WARNING SYSTEM FOR DRIVER ASSISTANCE

Abstract

Most traffic accidents were primarily occurred around the world, because of the lane Departure and cause many casualties
and injuries. Lane Departure Warning system(LDWS) is that the part of Advanced driver assistance systems that monitor driver
intent warn drivers of lane departures. The lanes have different appearances in different weather, light and road conditions and
because of that reason when driving the vehicle it's not properly discover the lane and vehicle cross the Lane and accidents
ocuurs. therefore the Lane detection and Lane tracking may be a difficult task because of the varying road conditions that one
will come across while driving. Lane Departure Warning systems(LDWS) is one of the main approaches for Lane Detection and
Lane tracking and accident prevention.
In this paper, Lane detection and Lane tracking systems are helpful in avoiding these accidents as safety is that the main
purpose of these systems. Such systems have the goal to detect and track the lane marks and to warn the driver in case the
vehicle includes a tendency to depart from the lane. A lane detection and Lane tracking system is a vital component of the many
intelligent transport systems. however detection of Lane isn't only used to solve the problem of avoiding accidents .To avoid the
accidents Lane tracking is vital technique . within the past few years, various approaches for lane detection were proposed and
successfully demonstrated.
In this paper, a comprehensive review of the literature in lane detection techniques and Lane tracking techniques is given.
the most objective of this paper is to find the constraints of the existing lane detection methods and Lane tracking methods and to
overcome all the issues that are enclosed in existing lane detection methods and Lane tracking methods and to develop a
proposed computer vision based (Real Time Video based) Intelligent Lane Departure warning system for various weather, lightweight and road conditions.