<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="6.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Miguel Angel Sotelo</style></author><author><style face="normal" font="default" size="100%">J Barriga</style></author><author><style face="normal" font="default" size="100%">David Fernández</style></author><author><style face="normal" font="default" size="100%">Ignacio Parra</style></author><author><style face="normal" font="default" size="100%">J.E. Naranjo</style></author><author><style face="normal" font="default" size="100%">Marta Marron</style></author><author><style face="normal" font="default" size="100%">M. Gavilán</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Vision-Based Blind Spot Detection Using Optical Flow</style></title><secondary-title><style face="normal" font="default" size="100%">Lecture Notes in Computer Science</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Blind zone</style></keyword><keyword><style  face="normal" font="default" size="100%">computer vision</style></keyword><keyword><style  face="normal" font="default" size="100%">intelligent vehicles</style></keyword><keyword><style  face="normal" font="default" size="100%">optical flow</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2007</style></year><pub-dates><date><style  face="normal" font="default" size="100%">02/2007</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.springerlink.com/content/t372500g4j22/#section=379081&amp;page=1&amp;locus=0</style></url></web-urls><related-urls><url><style face="normal" font="default" size="100%">https://mail.geintra-uah.org/en/system/files/private/sotelo_visionbasedblindspotlncsversion.pdf</style></url></related-urls></urls><publisher><style face="normal" font="default" size="100%">Springer-Verlag </style></publisher><pub-location><style face="normal" font="default" size="100%">Berlin/Heideberg</style></pub-location><volume><style face="normal" font="default" size="100%">4739</style></volume><pages><style face="normal" font="default" size="100%">1113-1118</style></pages><language><style face="normal" font="default" size="100%">English</style></language><abstract><style face="normal" font="default" size="100%">This paper describes a vision-based system for blind spot detection in intelligent vehicle applications. A camera is mounted in the lateral mirror of a
car with the intention of visually detecting cars that can not be perceived by the vehicle driver since they are located in the so-called blind spot. The detection of cars in the blind spot is carried out using computer vision techniques, based on optical flow and data clustering, as described in the following lines.</style></abstract><accession-num><style face="normal" font="default" size="100%">0.402</style></accession-num><call-num><style face="normal" font="default" size="100%">Computer Science, Theory &amp; Methods </style></call-num></record></records></xml>