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Road Lane Detection and Tracking for Driver Assistance System

Author(s):

Ahana Babu , IES College of Engineering Thrissur; Shemitha P A, IES College of Engineering Thrissur

Keywords:

DAS, Behavioral Cloning, Dataset Aggregation

Abstract

Modern road vehicles area unit using options of driver help systems (DAS) to enhance drivability performance, comfort, and safety. within the longer term perspective, the advances throughout this field will lead these systems to the extent of autonomous and cooperative driving, supported detectors networks and sensing element fusion. This strategy aims to gift the readers a unique strategy for lane detection and pursuit, which inserts as a purposeful demand to deploy DAS options like Lane Departure Warning and Lane Keeping Assist. to realize the bestowed results, the digital image process was divided into 3 levels. At the pre process level, the input image spatial property is reduced from 3 to 1 layer, the sharpness is improved, and region of interest is outlined supported the minimum safe distance from the vehicle ahead. The feature extractor for lane edges detection style is a component of the road lane detection level. The lane pursuit strategy development is mentioned in road lane pursuit level, behavioural biological research algorithmic rule, dagger algorithmic rule and distance algorithmic rule area unit accustomed bring home the bacon a sleek lane fitting.

Other Details

Paper ID: IJSRDV7I40722
Published in: Volume : 7, Issue : 4
Publication Date: 01/07/2019
Page(s): 834-838

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