<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Yang, L.C.</style></author><author><style face="normal" font="default" size="100%">Ji Hyun Yang</style></author><author><style face="normal" font="default" size="100%">Feron, E.M.</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Multiple model estimation for improving conflict detection algorithms</style></title><secondary-title><style face="normal" font="default" size="100%">Systems, Man and Cybernetics, 2004 IEEE International Conference on  (Volume:1 ) </style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2004</style></year><pub-dates><date><style  face="normal" font="default" size="100%">10-13 Oct. 2004</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">1</style></volume><isbn><style face="normal" font="default" size="100%">0-7803-8566-7 </style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;We present a framework for improving conflict detection algorithms using a hybrid control paradigm. This allows us to separate the problem into two parts: state/mode estimation and threat prediction. Since the dynamic equations for a conflict can change discretely depending on the situation, we propose the use of multiple model (MM) estimators to predict the situation and ultimately improve threat assessment. We provide an example using two different MM estimators for a rear-end collision warning system. The estimators can be used to determine the scenario mode as well as improve the state estimates&lt;/p&gt;</style></abstract><accession-num><style face="normal" font="default" size="100%">8304967</style></accession-num><section><style face="normal" font="default" size="100%"> 242 - 249 vol.1 </style></section></record></records></xml>