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dc.contributor.author | Rovira Más, Francisco | es_ES |
dc.date.accessioned | 2017-07-12T07:23:01Z | |
dc.date.available | 2017-07-12T07:23:01Z | |
dc.date.issued | 2010-01 | |
dc.identifier.issn | 1537-5110 | |
dc.identifier.uri | http://hdl.handle.net/10251/84981 | |
dc.description.abstract | [EN] Stereoscopic cameras are becoming fundamental sensors for providing perception capabilities for automated vehicles; however, they need to be adequately setup to avoid excessive data processing and unreliable outcomes. Combinations of baselines and lens focal lengths were optimised to adjust the field of view of a stereo camera to provide the two fundamental perceptions required for intelligent vehicles: safeguarding distances around 6 m and look-ahead distances up to 20 m for automatic guidance. The main objective was to develop a systematic procedure to find the parameters that best sense the desired field of view. Quantitative indices to estimate perceptive quality, such as relative errors and efficiencies, were defined and applied to particular cases. Experiments, both in the laboratory and outdoor, led to the conclusion that short ranges under 6 m from the vehicle were best acquired with 8 mm lenses and baselines ranging from 100 mm to 150 mm, whereas 200 mm baselines coupled with 12 mm and 8 mm lenses were more suitable for longer look-ahead distances. These experiments also proved the utility of the methodology proposed. ª 2009 IAgrE. Published by Elsevier Ltd. All rights reserved. | es_ES |
dc.description.sponsorship | The material presented in this paper was based upon work supported partially by the Ministry of Education and Science Funds, Spain (AGL2006-09656/AGR), the United States Department of Agriculture (USDA) Hatch Funds (ILLU-10-352 AE) and Bruce Cowgur Mid-Tech Memorial Funds. Any opinions, findings, and conclusions expressed in this publication are those of the authors and do not necessarily reflect the views of the University of Illinois, USA; the Ministry of Education and Science, Spain; the USDA, USA; and Midwest Technologies Inc., USA. | en_EN |
dc.language | Inglés | es_ES |
dc.publisher | Elsevier | es_ES |
dc.relation.ispartof | Biosystems Engineering | es_ES |
dc.rights | Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) | es_ES |
dc.subject.classification | INGENIERIA AGROFORESTAL | es_ES |
dc.title | Design parameters for adjusting the visual field of binocular stereo cameras | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.1016/j.biosystemseng.2009.09.013 | |
dc.relation.projectID | info:eu-repo/grantAgreement/MEC//AGL2006-09656/ES/GUIADO AUTOMATICO DE VEHICULOS AGRICOLAS MEDIANTE SENSORES DE VISION ESTEREOSCOPICA: GENERACION DE MAPAS DE NAVEGACION Y ESTRATEGIAS DE CONTROL/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/USDA//ILLU-10-352AE/ | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Escuela Técnica Superior de Ingeniería Agronómica y del Medio Natural - Escola Tècnica Superior d'Enginyeria Agronòmica i del Medi Natural | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Departamento de Mecanización y Tecnología Agraria - Departament de Mecanització i Tecnologia Agrària | es_ES |
dc.description.bibliographicCitation | Rovira Más, F. (2010). Design parameters for adjusting the visual field of binocular stereo cameras. Biosystems Engineering. 105(1):59-70. https://doi.org/10.1016/j.biosystemseng.2009.09.013 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | http://dx.doi.org/10.1016/j.biosystemseng.2009.09.013 | es_ES |
dc.description.upvformatpinicio | 59 | es_ES |
dc.description.upvformatpfin | 70 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 105 | es_ES |
dc.description.issue | 1 | es_ES |
dc.relation.senia | 37634 | es_ES |
dc.contributor.funder | Ministerio de Educación y Ciencia | es_ES |
dc.contributor.funder | Bruce Cowgur Mid-Tech Memorial Funds | es_ES |
dc.contributor.funder | U.S. Department of Agriculture | es_ES |