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#rhid_marland

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Robotics & Autonomous Sytems<p>📣 New Dataset Release! 📣</p><p>This dataset, developed in the <a href="https://social.rma.ac.be/tags/RHID_MARLAND" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>RHID_MARLAND</span></a> project, is designed to advance research in automatic target vessel re-identification from RGB imagery captured by unmanned vehicles. It combines visual appearance and textual data for enhanced accuracy. </p><p>paper: <a href="https://doi.org/10.1117/12.3028805" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">doi.org/10.1117/12.3028805</span><span class="invisible"></span></a></p><p>dataset: <a href="https://gitlab.cylab.be/t.nguyen/vessel_identification" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">gitlab.cylab.be/t.nguyen/vesse</span><span class="invisible">l_identification</span></a></p><p><a href="https://social.rma.ac.be/tags/maritimesurveillance" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>maritimesurveillance</span></a> UAV <a href="https://social.rma.ac.be/tags/USV" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>USV</span></a> <a href="https://social.rma.ac.be/tags/deeplearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>deeplearning</span></a> <a href="https://social.rma.ac.be/tags/computervision" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>computervision</span></a> <a href="https://social.rma.ac.be/tags/dataset" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>dataset</span></a> <a href="https://social.rma.ac.be/tags/opensource" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>opensource</span></a></p>
Robotics & Autonomous Sytems<p>🚁 New Dataset Alert! 🚢</p><p>We're release a comprehensive <a href="https://social.rma.ac.be/tags/dataset" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>dataset</span></a> for visual-based localization of <a href="https://social.rma.ac.be/tags/UAV" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>UAV</span></a> in <a href="https://social.rma.ac.be/tags/maritime" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>maritime</span></a> environments.<br>This dataset contains the data and source code for our IMEKO ACTA paper "Visual-based Localization Methods for Unmanned Aerial Vehicles in Landing Operation on Maritime Vessel" and was originally developed within the <a href="https://social.rma.ac.be/tags/RHID_MARLAND" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>RHID_MARLAND</span></a> project.</p><p>⬇️ Download the dataset: <a href="https://gitlab.cylab.be/t.nguyen/uav-visual-localization" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">gitlab.cylab.be/t.nguyen/uav-v</span><span class="invisible">isual-localization</span></a><br>ℹ️ Learn more about the MarLand project: <a href="https://mecatron.rma.ac.be/index.php/projects/marland/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">mecatron.rma.ac.be/index.php/p</span><span class="invisible">rojects/marland/</span></a></p><p><a href="https://social.rma.ac.be/tags/robotics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>robotics</span></a> <a href="https://social.rma.ac.be/tags/UAS" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>UAS</span></a></p>
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