General Road Detection Algorithm - A Computational Improvement

Bruno Ricaud, Bogdan Stanciulescu, Amaury Breheret

2014

Abstract

This article proposes a method improving Kong et al. algorithm called Locally Adaptive Soft-Voting (LASV) algorithm described in ”General road detection from a single image”. This algorithm aims to detect and segment road in structured and unstructured environments. Evaluation of our method over different images datasets shows that it is speeded up by up to 32 times and precision is improved by up to 28% compared to the original method. This enables our method to come closer the real time requirements.

Paper Citation

in Harvard Style

Ricaud B., Stanciulescu B. and Breheret A. (2014). General Road Detection Algorithm - A Computational Improvement . In Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods - Volume 1: USA, (ICPRAM 2014) ISBN 978-989-758-018-5, pages 825-830. DOI: 10.5220/0004935208250830

in Bibtex Style

@conference{usa14,
author={Bruno Ricaud and Bogdan Stanciulescu and Amaury Breheret},
title={General Road Detection Algorithm - A Computational Improvement},
booktitle={Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods - Volume 1: USA, (ICPRAM 2014)},
year={2014},
pages={825-830},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004935208250830},
isbn={978-989-758-018-5},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods - Volume 1: USA, (ICPRAM 2014)
TI - General Road Detection Algorithm - A Computational Improvement
SN - 978-989-758-018-5
AU - Ricaud B.
AU - Stanciulescu B.
AU - Breheret A.
PY - 2014
SP - 825
EP - 830
DO - 10.5220/0004935208250830