<?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 for Tracking Maneuvering Vehicles in an Adaptive Cruise Control Environment </style></title><secondary-title><style face="normal" font="default" size="100%">International Journal of Control, Automation, and Systems</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%">September 2004</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">2</style></volume><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;div dir=&quot;ltr&quot; style=&quot;font-size: 17.5px; font-family: serif; left: 224.9px; top: 251.007px; transform: rotate(0deg) scale(1.00096, 1); transform-origin: 0% 0% 0px;&quot;&gt;&lt;div dir=&quot;ltr&quot; style=&quot;font-size: 17.5px; font-family: serif; left: 224.9px; top: 251.007px; transform: rotate(0deg) scale(1.00096, 1); transform-origin: 0% 0% 0px;&quot;&gt;&amp;nbsp;In this paper, an unscented Kalman filter (UKF) for curvilinear motions in an&lt;/div&gt;&lt;div dir=&quot;ltr&quot; style=&quot;font-size: 17.5px; font-family: serif; left: 154px; top: 271.108px; transform: rotate(0deg) scale(1.00113, 1); transform-origin: 0% 0% 0px;&quot;&gt;interacting multiple model (IMM) algorithm to track a maneuvering vehicle on a road is&lt;/div&gt;&lt;div dir=&quot;ltr&quot; style=&quot;font-size: 17.5px; font-family: serif; left: 154px; top: 291.208px; transform: rotate(0deg) scale(1.00068, 1); transform-origin: 0% 0% 0px;&quot;&gt;investigated. Driving patterns of vehicles on a road are modeled as stochastic hybrid systems.&lt;/div&gt;&lt;div dir=&quot;ltr&quot; style=&quot;font-size: 17.5px; font-family: serif; left: 154px; top: 311.309px; transform: rotate(0deg) scale(0.999569, 1); transform-origin: 0% 0% 0px;&quot;&gt;In order to track the maneuvering vehicles, two kinematic models are derived: A constant&lt;/div&gt;&lt;div dir=&quot;ltr&quot; style=&quot;font-size: 17.5px; font-family: serif; left: 154px; top: 331.409px; transform: rotate(0deg) scale(1.00016, 1); transform-origin: 0% 0% 0px;&quot;&gt;velocity model for linear motions and a constant-speed turn model for curvilinear motions. For&lt;/div&gt;&lt;div dir=&quot;ltr&quot; style=&quot;font-size: 17.5px; font-family: serif; left: 154px; top: 351.51px; transform: rotate(0deg) scale(0.99919, 1); transform-origin: 0% 0% 0px;&quot;&gt;the constant-speed turn model, an UKF is used because of the drawbacks of the extended&lt;/div&gt;&lt;div dir=&quot;ltr&quot; style=&quot;font-size: 17.5px; font-family: serif; left: 154px; top: 371.61px; transform: rotate(0deg) scale(1.00056, 1); transform-origin: 0% 0% 0px;&quot;&gt;Kalman filter in nonlinear systems. The suggested algorithm reduces the root mean squares&lt;/div&gt;&lt;div dir=&quot;ltr&quot; style=&quot;font-size: 17.5px; font-family: serif; left: 154px; top: 391.711px; transform: rotate(0deg) scale(1.00242, 1); transform-origin: 0% 0% 0px;&quot;&gt;error for linear motions and rapidly detects possible turning motions.&amp;nbsp;&lt;/div&gt;&lt;/div&gt;</style></abstract><issue><style face="normal" font="default" size="100%">3</style></issue><section><style face="normal" font="default" size="100%">310-318</style></section></record></records></xml>