Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/88993
Type: Artigo de evento
Title: Real-time Estimation Of Drivable Image Area Based On Monocular Vision
Author: Neto A.M.
Victorino A.C.
Fantoni I.
Ferreira J.V.
Abstract: Camera-based estimation of drivable image areas is still in evolution. These systems have been developed for improved safety and convenience, without the need to adapt itself to the environment. Machine Vision is an important tool to identify the region that includes the road in images. Road detection is the major task of autonomous vehicle guidance. In this way, this work proposes a drivable region detection algorithm that generates the region of interest from a dynamic threshold search method and from a drag process (DP). Applying the DP to estimation of drivable image areas has not been done yet, making the concept unique. Our system was has been evaluated from real data obtained by intelligent platforms and tested in different types of image texture, which include occlusion case, obstacle detection and reactive navigation. © 2013 IEEE.
Editor: 
Rights: fechado
Identifier DOI: 10.1109/IVS.2013.6629448
Address: http://www.scopus.com/inward/record.url?eid=2-s2.0-84892411731&partnerID=40&md5=ac362084a08732f7f046f47704a70c88
Date Issue: 2013
Appears in Collections:Unicamp - Artigos e Outros Documentos

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