Evaluation of Road Marking Feature Extraction
Abstract
This paper proposes a systematic approach to evaluate algorithms for extracting
road marking features from images. This specific topic is
seldom addressed in the literature while many road marking detection
algorithms have been proposed. Most of them can be decomposed into three
steps: extracting road marking features, estimating a geometrical marking
model, tracking the parameters of the geometrical model along an image
sequence. The present work focuses on the first step, i.e. feature
extraction. A reference database containing over 100 images of natural
road scenes was built with corresponding manually labeled ground
truth images (available at http://www.lcpc.fr/en/produits/ride/).
This database enables to evaluate and compare extractors in a
systematic way. Different road marking feature extraction algorithm representing
different classes of techniques are evaluated: thresholding, gradient
analysis, and convolution. As a result of this analysis, recommendations
are given on which extractor to choose according to a specific application.
Reference
@inproceedings{jpt-itsc08,
author = {Veit, Thomas and Tarel, Jean-Philippe and Nicolle, Philippe and Charbonnier, Pierre},
title = {Evaluation of Road Marking Feature Extraction},
bookTitle = {Proceedings of 11th IEEE Conference on Intelligent Transportation Systems (ITSC'08)},
date = {October 12-15},
address = {Beijing, China},
pages = {174-181},
year = {2008},
note = {http://perso.lcpc.fr/tarel.jean-philippe/publis/itsc08.html}
}
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(c) IEEE Conference on ITS