本次作业需要使用python实现,这里推荐使用python3.8,可以登录官网安装。如果你有多个版本的python,选择3.x以上的版本即可 ...
accepts any 3-column numpy array as input, renders tens of millions of points interactively using an octree-based level of detail mechanism, supports point selection for inspecting and annotating ...
Abstract: Multi-camera 3D semantic occupancy prediction is a critical task for autonomous driving, playing a vital role in understanding the environment. Current methods mainly rely on uniform voxel ...
Abstract: Point cloud compression (PCC) is crucial for efficient and flexible storage as well as feasible transmission of point clouds in practice. For geometry compression, one popular approach is ...
Introduction: Three-dimensional (3D) point clouds acquired by LiDAR are fundamental for applications such as autonomous navigation, mobile robotics, infrastructure inspection, and cultural-heritage ...