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Robust lane Extraction using Two-Dimension Declivity

Fakhfakh, Mohamed and Fakhfakh, Nizar and Chaari, Lotfi Robust lane Extraction using Two-Dimension Declivity. (2018) In: 17th International Conference on Artificial Intelligence and Soft Computing (ICAISC), 3 June 2018 - 7 June 2018 (Zakopane, Poland).

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Official URL: https://doi.org/10.1007/978-3-319-91262-2_2

Abstract

A new robust lane marking extraction algorithm for monocular vision is proposed based on Two-Dimension Declivity. It is designed for the urban roads with difficult conditions (shadow, high brightness, etc.). In this paper, we propose a locating system which, from an embedded camera, allows lateral positioning of a vehicle by detecting road markings. The primary contribution of the paper is that it supplies a robust method made up of six steps: (i) Image Pre-processing, (ii) Enhanced Declivity Operator (DE), (iii) Mathematical Morphology, (iv) Labeling, (v) Hough Transform and (vi) Line Segment Clustering. The experimental results have shown the high performance of our algorithm in various road scenes. This validation stage has been done with a sequence of simulated images. Results are very promising: more than 90% of marking lines are extracted for less than 12% of false alarm.

Item Type:Conference or Workshop Item (Paper)
Additional Information:Thanks to Springer editor. This papers appears in volume 10842 of Lecture Notes in Computer Science ISSN : 0302-9743 ISBN: 978-3-319-91262-2. The original PDF is available at: https://doi.org/10.1007/978-3-319-91262-2_2
HAL Id:hal-02938620
Audience (conference):National conference proceedings
Uncontrolled Keywords:
Institution:French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UT3 (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
Other partners > Navya (FRANCE)
Other partners > Université de Sfax (TUNISIA)
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Deposited On:03 Sep 2020 07:16

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