3 accepted papers
This letter introduces SVN-ICP, a novel Iterative Closest Point (ICP) algorithm with uncertainty estimation that leverages Stein Variational Newton (SVN) on manifold. Designed specifically for fusing LiDAR odometry in multisensor systems, the proposed method ensures accurate pose estimation and cons…
This letter introduces <monospace xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">SVN-ICP</monospace>, a novel Iterative Closest Point (ICP) algorithm with uncertainty estimation that leverages Stein Variational Newton (SVN) on manifold. Designed specificall
In the automatic driving 3D object detection task, the multi-modal fusion method can realize the complementarity of different modal information, especially the fusion algorithm of LiDAR point cloud and camera image has been widely used. Nowadays, most point cloud-image fusion methods employ external