Abstract: Point cloud registration in SLAM plays a key role in mapping and localization tasks, which involves finding the transformation between two sets of point clouds. Iterative-based algorithms in ...
Abstract: Today, there is a great need for 3D instance segmentation, which has several uses in robotics and augmented reality. Unlike projective observations like 2D photographs, 3D models offer a ...
Abstract: Point cloud processing is fundamental to applications such as autonomous driving, robotic navigation, and 3D reconstruction. Sampling is a crucial process in point cloud processing, but ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results