<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="6.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">J.J. Garcia</style></author><author><style face="normal" font="default" size="100%">Ureña, J.</style></author><author><style face="normal" font="default" size="100%">Manuel Mazo</style></author><author><style face="normal" font="default" size="100%">Cristina Losada-Gutiérrez</style></author><author><style face="normal" font="default" size="100%">Álvaro Hernández</style></author><author><style face="normal" font="default" size="100%">Carlos De Marzziani</style></author><author><style face="normal" font="default" size="100%">Fernando J. Álvarez</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Data Integration by considering spatial diversity in an IR barrier</style></title><secondary-title><style face="normal" font="default" size="100%">IEEE Conference on Emerging Technologies and Factory Automation, 2006. ETFA '06.</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">case-based reasoning</style></keyword><keyword><style  face="normal" font="default" size="100%">optical communication</style></keyword><keyword><style  face="normal" font="default" size="100%">optical links</style></keyword><keyword><style  face="normal" font="default" size="100%">railway safety</style></keyword><keyword><style  face="normal" font="default" size="100%">sensor fusion</style></keyword><keyword><style  face="normal" font="default" size="100%">uncertainty handling</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2006</style></year><pub-dates><date><style  face="normal" font="default" size="100%">09/2006</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&amp;arnumber=4178358&amp;isnumber=4178171</style></url></web-urls></urls><pub-location><style face="normal" font="default" size="100%">Prague</style></pub-location><pages><style face="normal" font="default" size="100%">1149 - 1152</style></pages><isbn><style face="normal" font="default" size="100%">0-7803-9758-4</style></isbn><language><style face="normal" font="default" size="100%">English</style></language><abstract><style face="normal" font="default" size="100%">This work proposes a data fusion technique to validate the detection of objects in railway environments. The system for obstacle detection is based on an infrared emitting barrier and another of receivers placed on opposing side in the railway, establishing different optical links between them. The interruption of one or several links in the sensorial system should produce an alarm. Since the detection is based on the radiation lack in the detectors, channel degradation can produce a similar situation as if there was one obstacle. Since the interruption of the links is the necessary condition, but not sufficient, for the existence of an object, this work proposes the fusion of the sensors information by means of the Dempster-Shafer evidential theory to obtain a certainty value of the existence of objects supposing a risk for the railway.</style></abstract></record></records></xml>