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General Information
    • ISSN: 2010-3697
    • Frequency: Bimonthly
    • DOI: 10.7763/IJMO
    • Editor-in-Chief: Prof. Adrian Olaru
    • Executive Editor: Ms.Yoyo Y. Zhou
    • Abstracting/ Indexing: Engineering & Technology Digital Library, ProQuest, Crossref, Electronic Journals Library, Google Scholar, EI (INSPEC, IET).
    • E-mail ijmo@iacsitp.com
Editor-in-chief
Prof. Adrian Olaru
University Politehnica of Bucharest, Romania
I'm happy to take on the position of editor in chief of IJMO. It's a journal that shows promise of becoming a recognized journal in the area of modelling and optimization. I'll work together with the editors to help it progress.
IJMO 2012 Vol.2(6): 658-662 ISSN: 2010-3697
DOI: 10.7763/IJMO.2012.V2.204

An Image Processing Approach to Detect Lanes, Pot Holes and Recognize Road Signs in Indian Roads

Ajit Danti, Jyoti Y. Kulkarni, and P. S. Hiremath

Abstract—Most of the Indian rural and sub urban roads are not ideal for driving due to faded lanes, irregular potholes, improper and invisible road signs. This has led to many accidents causing loss of lives and severe damage to vehicles. Many techniques have been proposed in the past to detect these problems using image processing methods. But there has been little work specifically carried out for detecting such issues of Indian roads. To address this acute problem, the study is undertaken with the objectives like, to make a survey of Indian roads, to suggest the method to detect lanes, potholes and road signs and their classification and to suggest automated driver guidance mechanism. In this regard, Hough Transformation method is adopted for Lane detection, where as Color Segmentation and Shape Modeling with Thin Spline Transformation (TPS) is used with nearest neighbor classifier for road sign detection and Classification. Further, K-means clustering based algorithm is adopted for pothole detection. Therefore, the attempt is made to invent an automated driver guidance mechanism to make the driving safe and easier in Indian roads. The experimental results obtained are tested with real time image database collected across different roads in sub-urban areas in India and found satisfactory.

Index Terms—Image processing, matlab, road image analysis, hough transform, segmentation, clustering, TPS.

The authors are with the Department of Computer Applications, Jawaharlal Nehru National College of Engineering, Shimoga, Karnataka, India. (e-mail: ajitdanti@yahoo.com; jyotirajju@ gmail.com; hiremathps53@yahoo.com).

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Cite: Ajit Danti, Jyoti Y. Kulkarni, and P. S. Hiremath, "An Image Processing Approach to Detect Lanes, Pot Holes and Recognize Road Signs in Indian Roads," International Journal of Modeling and Optimization vol. 2, no. 6, pp. 658-662, 2012.

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