Abstract: Due to the irregular distribution of 3-D point clouds and the random movement of the passengers, it is difficult to accurately and rapidly determine the passenger occupancy based on the ...

Graph in the left shows the odometry prediction of the point-based model relative to ground truth in KITTI city 0. The graph in the right shows the performance for ICP for the same city.

Abstract: This paper present an interconnect-structure-aware physics-informed PointNet method, named Isa-PIPN, for fast and accurate capacitance predictions. Once the Isa-PIPN is trained, it can ...

Back when Minecraft was relatively new and was released on several new platforms, 4J Studios added a unique way to introduce players to the sandbox game. In the early days, Legacy Console Editions for ...

We propose a linked dynamic graph CNN (LDGCNN) to classify and segment point cloud directly. We remove the transformation network, link hierarchical features from dynamic graphs, freeze feature ...

Introduction: Three-dimensional (3D) point clouds acquired by LiDAR are fundamental for applications such as autonomous navigation, mobile robotics, infrastructure inspection, and cultural-heritage ...