<?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%">Cristina Losada-Gutiérrez</style></author><author><style face="normal" font="default" size="100%">Felipe Espinosa</style></author><author><style face="normal" font="default" size="100%">Ureña, J.</style></author><author><style face="normal" font="default" size="100%">Álvaro Hernández</style></author><author><style face="normal" font="default" size="100%">Manuel Mazo</style></author><author><style face="normal" font="default" size="100%">Carlos De Marzziani</style></author><author><style face="normal" font="default" size="100%">Ana Jimenez</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%">Optimal estimation techniques to reduce false alarms in railway obstacle detection</style></title><secondary-title><style face="normal" font="default" size="100%">IEEE International Conference on Industrial Technology, 2005. ICIT 2005. </style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">collision avoidance</style></keyword><keyword><style  face="normal" font="default" size="100%">filtering theory</style></keyword><keyword><style  face="normal" font="default" size="100%">Hinfin control</style></keyword><keyword><style  face="normal" font="default" size="100%">Kalman filters</style></keyword><keyword><style  face="normal" font="default" size="100%">principal component analysis</style></keyword><keyword><style  face="normal" font="default" size="100%">railway accidents</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2005</style></year><pub-dates><date><style  face="normal" font="default" size="100%">12/2005</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=1600682&amp;isnumber=33650</style></url></web-urls><related-urls><url><style face="normal" font="default" size="100%">https://geintra-uah.org/system/files/private/ICIT-2005-JJ.pdf</style></url></related-urls></urls><pub-location><style face="normal" font="default" size="100%">Hong Kong</style></pub-location><pages><style face="normal" font="default" size="100%">459 - 464</style></pages><isbn><style face="normal" font="default" size="100%">0-7803-9484-4</style></isbn><language><style face="normal" font="default" size="100%">English</style></language><abstract><style face="normal" font="default" size="100%">This work presents some methods to reduce false alarms in railway obstacle detection. The sensorial system is based on one barrier of infrared emitters and another of receivers, placed on opposing sides of the railway. Obstacle detection is achieved by the lack of reception in the detectors. On the one hand, the efficiency of the system is achieved with the geometrical distribution of the sensorial system and the codification used in the emitting and receiving stages. On the other hand, optimal estimation techniques have been proposed to avoid false alarms, based on Kalman and Hinfin filtering. Principal component analysis is developed to validate the obstacle detection, and to improve the accuracy of the system. A high reliability under adverse conditions is obtained with the barrier, it being possible to detect the presence of obstacles, and to report on their position.</style></abstract></record></records></xml>