Automated Road Lane Detection for Intelligent Vehicles

Dr. Anik Saha; Dipanjan Das Roy; Tauhidul Alam; Kaushik Deb

Automated Road Lane Detection for Intelligent Vehicles

Dr. Anik Saha * §

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Dipanjan Das Roy

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Tauhidul Alam

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Kaushik Deb

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§ Chittagong University of Engineering and Technology,...

Automated Road Lane Detection for Intelligent Vehicles

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Abstract

Automated road lane detection is the crucial part of vision-based driver assistance system of intelligent vehicles. This driver assistance system reduces the road accidents, enhances safety and improves the traffic conditions. In this paper, we present an algorithm for detecting marks of road lane and road boundary with a view to the smart navigation of intelligent vehicles. Initially, it converts the RGB road scene image into gray image and employs the flood-fill algorithm to label the connected components of that gray image. Afterwards, the largest connected component which is the road region is extracted from the labeled image using maximum width and no. of pixels. Eventually, the outside region is subtracted and the marks or road lane and road boundary are extracted from connected components. The experimental results show the effectiveness of the proposed algorithm on both straight and slightly curved road scene images under different day light conditions and the presence of shadows on the roads.

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Dr. Anik Saha, Dipanjan Das Roy, Tauhidul Alam, Kaushik Deb. 1970. "Automated Road Lane Detection for Intelligent Vehicles". Global Journal of Computer Science and Technology GJCST Volume 12 (GJCST Volume 12 Issue 6).

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GJCST Volume 12 Issue 6

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

Computer vision Connected Component Driver Assistance System Flood-fill Algorithm Intelligent Vehicles

Classification

GJCST Classification J.7

Submission ReceivedApril 14, 2012
Peer Review Double Blind
Handling Editor
Accepted April 30, 2012
Published May 15, 2012

Version of record

v1.2

Issue date

March 27, 2012

Language

English

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Article Matrices

Total Score: 149

Country: Bangladesh

Subject: Global Journal of Computer Science and Technology

Authors: Dr. Anik Saha, Dipanjan Das Roy, Tauhidul Alam, Kaushik Deb (PhD/Dr. count: 1)

View Count (all-time): 332

Total Views (Real + Logic): 7156

Total Downloads (simulated): 648

Publish Date: 2012 05, Tue

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Total Views: 7.2K

Total Downloads: 648

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