General Road Detection Algorithm, a Computational Improvement - Mines Paris Accéder directement au contenu
Article Dans Une Revue SCITEPRESS Digital Library Année : 2014

General Road Detection Algorithm, a Computational Improvement

Bruno Ricaud
  • Fonction : Auteur
Bogdan Stanciulescu
Amaury Breheret

Résumé

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.
Fichier principal
Vignette du fichier
BRUNORICAUD-ICPRAM2014.pdf (1.65 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01164298 , version 1 (16-06-2015)

Licence

Copyright (Tous droits réservés)

Identifiants

Citer

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⟩
300 Consultations
725 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More