Spacecraft Pose Estimation Dataset (SPEED)

<p>The SPEED dataset is the official dataset of&nbsp;<strong>ESA&#39;s Kelvins</strong>&nbsp;<strong>&quot;Pose Estimation challenge&quot; </strong>in collaboration<strong> with Stanford Universitiy&#39;s Space Rendezvous Lab (SLAB)</strong>. It features images and poses of the Tango spacecraft (PRISMA mission), 12000 of them generated by SLAB&#39;s Optical Simulator using&nbsp;a high fidelity texture model and 300 images from the TRON facility, using a&nbsp; physical mock-up model of Tango.</p> <p>The goal of the competition was estimate the relative pose (distance and orientation) from pixel images only.</p> <ul> <li>Detailed information about the original competition can be found at&nbsp;<a href="https://kelvins.esa.int/satellite-pose-estimation-challenge/">https://kelvins.esa.int/satellite-pose-estimation-challenge/</a></li> <li>A follow-up competition with a larger and improved dataset <strong>(SPEED+)</strong> is available on Zenodo as well:&nbsp;<a href="https://zenodo.org/record/5588480">https://zenodo.org/record/5588480</a></li> </ul> <p>A publication about the results of the pose estimation challenge has been published as</p> <ul> <li>Kisantal, Mate, et al. &quot;Satellite pose estimation challenge: Dataset, competition design, and results.&quot;&nbsp;<em>IEEE Transactions on Aerospace and Electronic Systems</em>&nbsp;56.5 (2020): 4083-4098.</li> </ul>