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REVIEW OF LANE DETECTION AND TRACKING ALGORITHMS IN ADVANCED DRIVER ASSISTANCE SYSTEM

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Author :  Ammu M Kumar

Affiliation :  University of Kerala Kariavattom, Thiruvananthapuram

Country :  India

Category :  Computer Science & Information Technology

Volume, Issue, Month, Year :  Vol 7, No 4, August, 2015

Abstract :


Lane detection and tracking is one of the key features of advanced driver assistance system. Lane detection is finding the white markings on a dark road. Lane tracking use the previously detected lane markers and adjusts itself according to the motion model. In this paper, review of lane detection and tracking algorithms developed in the last decade is discussed. Several modalities are considered for lane detection which include vision, LIDAR, vehicle odometry information, information from global positioning system and digital maps. The lane detection and tracking is one of the challenging problems in computer vision. Different vision based lane detection techniques are explained in the paper. The performance of different lane detection and tracking algorithms is also compared and studied.

Keyword :  Advanced Driver Assistance System, Hough transform, Lane detection, Lane departure warning, Lane Tracking

Journal/ Proceedings Name :  Computer Science and Information Technology

URL :  http://airccse.org/journal/jcsit/7415ijcsit06.pdf

User Name : srav
Posted 03-08-2017 on 09:23:41 AEDT



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