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General Road Detection Algorithm, a Computational Improvement

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.
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https://hal-mines-paristech.archives-ouvertes.fr/hal-01164298
Contributor : Bruno Ricaud <>
Submitted on : Tuesday, June 16, 2015 - 3:16:22 PM
Last modification on : Thursday, September 24, 2020 - 5:04:02 PM
Long-term archiving on: : Tuesday, April 25, 2017 - 11:16:25 AM

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Bruno Ricaud, Bogdan Stanciulescu, Amaury Breheret. General Road Detection Algorithm, a Computational Improvement. SCITEPRESS Digital Library, 2014, Special Session on Urban Scene Analysis: interpretation, mapping and modeling (USA 2014), ⟨10.5220/0004935208250830⟩. ⟨hal-01164298⟩

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