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Yaepiii authored Aug 9, 2024
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Expand Up @@ -399,19 +399,19 @@ <h2 class="title is-3 has-text-centered" style="margin-top: -30px">Ablation Stud

<div class="content has-text-justified">
<p>
Tracker: LO system with
<strong style="font-size: 0.9em;">Tracker</strong>: LO system with
UKF-based object tracker outperforms EKF-based, benefiting from the more robust dynamic tracking. Theoretically,
EKF addresses the nonlinear state estimation by using linear
approximation, which may introduce tracking bias.
</p>
<p>
Dynamic Removal: The results
<strong style="font-size: 0.9em;">Dynamic Removal</strong>: The results
demonstrate that the outliers in the environment are effectively filtered by adding our dynamic removal step, resulting
in a more accurate odometry estimation. This improvement
is particularly obvious when dealing with the highly dynamic UrbanLoco dataset.
</p>
<p>
Bounding Box Consistency Constraint: The z-axis drift of the
<strong style="font-size: 0.9em;">Bounding Box Consistency Constraint</strong>: The z-axis drift of the
odometry is effectively inhibited by imposing the bounding
box consistency constraint. Combined with dynamic removal
and bounding box consistency constraint, our complete system achieves more accurate results. The translation accuracy
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