Title :
Bidirectional Fuzzy-Regression Model for Road-lines Detection
Author :
Saha, Barna ; Mazumdar, Arya ; Pal, Nikhil R.
Author_Institution :
Indian Inst. of Technol., Kanpur
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
Keywords :
automated highways; feature extraction; fuzzy set theory; image segmentation; regression analysis; road traffic; traffic engineering computing; automated vehicle monitoring system; bidirectional fuzzy-regression model; feature-based image segmentation; image cleaning; road-lines detection; traffic image; Artificial intelligence; Bidirectional control; Cleaning; Computerized monitoring; Image segmentation; Intelligent sensors; Intelligent transportation systems; Road vehicles; Signal processing; Vehicle detection;
Conference_Titel :
Engineering of Intelligent Systems, 2006 IEEE International Conference on
Conference_Location :
Islamabad
Print_ISBN :
1-4244-0456-8
DOI :
10.1109/ICEIS.2006.1703211
