<?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%">Yong-Shik Kim</style></author><author><style face="normal" font="default" size="100%">Keum-Shik Hong</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">An IMM algorithm with federated information mode-matched filters for AGV</style></title><secondary-title><style face="normal" font="default" size="100%">International Journal of Adaptive Control and Signal Processing</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2007</style></year><pub-dates><date><style  face="normal" font="default" size="100%">September 2007</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">21 </style></volume><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;div class=&quot;para&quot;&gt;&lt;p&gt;In this paper, a tracking algorithm for autonomous navigation of automated guided vehicles (AGVs) is presented. The developed navigation algorithm is an interacting multiple-model (IMM) algorithm used to detect other AGVs using fused information from multiple sensors. In order to detect other AGVs, two kinematic models were derived: A constant-velocity model for linear motion, and a constant-speed turn model for curvilinear motion. In the constant-speed turn model, a nonlinear information filter (IF) is used in place of the extended Kalman filter (KF). Being equivalent to the KF algebraically, the IF is extended to &lt;em&gt;N&lt;/em&gt;-sensor distributed dynamic systems. The model-matched filter used in multi-sensor environments takes the form of a federated nonlinear IF. In multi-sensor environments, the information-based filter is easier to decentralize, initialize, and fuse than a KF-based filter. In this paper, the structural features and information-sharing principle of the federated IF are discussed. The performance of the suggested algorithm using a Monte Carlo simulation is evaluated under the three navigation patterns. Copyright &amp;copy; 2006 John Wiley &amp;amp; Sons, Ltd.&lt;/p&gt;&lt;/div&gt;</style></abstract><issue><style face="normal" font="default" size="100%">7</style></issue><section><style face="normal" font="default" size="100%">533–555</style></section></record></records></xml>