Data Fusion for Overtaking Vehicle Detection Based on Radar and Optical Flow

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dc.contributor.author García, Fernando
dc.contributor.author Cerri, Pietro
dc.contributor.author Broggi, Alberto
dc.contributor.author Escalera Hueso, Arturo de la
dc.contributor.author Armingol Moreno, José María
dc.date.accessioned 2016-09-21T10:36:06Z
dc.date.available 2016-09-21T10:36:06Z
dc.date.issued 2012-06-03
dc.identifier.bibliographicCitation Data Fusion for Overtaking Vehicle Detection Based on Radar and Optical Flow. Intelligent Vehicles Sympodium (IV) 2012, IEEE, pp. 494-499
dc.identifier.uri http://hdl.handle.net/10016/23609
dc.description.abstract Trustworthiness is a key point when dealing with vehicle safety applications. In this paper an approach to a real application is presented, able to fulfill the requirements of such demanding applications. Most of commercial sensors available nowadays are usually designed to detect front vehicles but lack the ability to detect overtaking vehicles. The work presented here combines the information provided by two sensors, a Stop&Go radar and a camera. Fusion is done by using the unprocessed information from the radar and computer vision based on optical flow. The basic capabilities of the commercial systems are upgraded giving the possibility to improve the front vehicles detection system, by detecting overtaking vehicles with a high positive rate.
dc.description.sponsorship This work was supported by the Spanish Government through the Cicyt projects FEDORA (GRANT TRA2010- 20225-C03-01) and D3System (TRA2011-29454-C03-02). BRAiVE prototype has been developed in the framework of the Open intelligent systems for Future Autonomous Vehicles (OFAV) Projects funded by the European Research Council (ERC) within an Advanced Investigation Grant
dc.format.extent 7
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher IEEE
dc.rights © 2012 IEEE
dc.title Data Fusion for Overtaking Vehicle Detection Based on Radar and Optical Flow
dc.type conferenceObject
dc.type bookPart
dc.relation.publisherversion http://dx.doi.org/10.1109/IVS.2012.6232199
dc.rights.accessRights openAccess
dc.relation.projectID Gobierno de España. TRA2010-20225-C03-01
dc.relation.projectID Gobierno de España. TRA2011-29454-C03-02
dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/228045
dc.type.version acceptedVersion
dc.relation.eventdate 3-7 June 2012
dc.relation.eventplace Alcalá de Henares
dc.relation.eventtitle 2012 IEEE Intelligent Vehicles Symposium
dc.relation.eventtype proceeding
dc.identifier.publicationfirstpage 494
dc.identifier.publicationlastpage 499
dc.identifier.publicationtitle Intelligent Vehicles Sympodium (IV) 2012 IEEE
dc.identifier.uxxi CC/0000014612
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