Bidirectional fuzzy-regression model for road-lines detection

Barna Saha, Arya Mazumdar, Nikhil R. Pal

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

The identification of road-lines can provide valuable information for automated vehicle monitoring systems. In this paper a framework is proposed for finding out the road-lines from a given traffic image using two operational levels. In the first operational level a spatial domain feature-based image segmentation and cleaning are done to remove unnecessary information of the image. In the second operational level the refined image from the first level is processed to detect the road lines accurately using a novel technique of iterative bi-directional fuzzy regression model. The validity of fuzzy regression model is further analyzed, once road-lines are obtained.

Original languageEnglish (US)
Title of host publicationIEEE International Conference on Engineering of Intelligent Systems, ICEIS 2006
StatePublished - Dec 1 2006
EventIEEE International Conference on Engineering of Intelligent Systems, ICEIS 2006 - Islamabad, Pakistan
Duration: Apr 22 2006Apr 23 2006

Publication series

NameIEEE International Conference on Engineering of Intelligent Systems, ICEIS 2006

Other

OtherIEEE International Conference on Engineering of Intelligent Systems, ICEIS 2006
CountryPakistan
CityIslamabad
Period4/22/064/23/06

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