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            <title xml:lang="en">An association algorithm for tracking multiple moving objects</title>
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                <forename type="first">Yann</forename>
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            <idno type="halRefHtml">&lt;i&gt;IEEE Intelligent Transportation Systems Conference, ITSC'2006&lt;/i&gt;, Sep 2006, Toronto, Canada. pp.1334-1339, &lt;a target="_blank" href="https://dx.doi.org/10.1109/ITSC.2006.1707408"&gt;&amp;#x27E8;10.1109/ITSC.2006.1707408&amp;#x27E9;&lt;/a&gt;</idno>
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                <title xml:lang="en">An association algorithm for tracking multiple moving objects</title>
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              <p>In the field of intelligent vehicle and in order to raise the road safety, we are trying to improve the driver's assistance and more particularly obstacles detection systems. The objects are detected with sensors laid out on a car, and then, they are tracked with an association algorithm. We have modified M. Rombaut association algorithm in order to have a better decision when the data reliability decrease or if one sensor fails. This paper presents M. Rombaut association algorithm and the modification we have made on it. Then, a comparison between the two association algorithms for a decreasing data reliability is made thanks to simulated data. Finally we have tested the robustness of the two algorithms with data coming from a CCD camera.</p>
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