KTH/HiMo
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资源简介：
HiMo是一个专注于点云中高速运动物体运动补偿的数据集，旨在通过点云数据研究高速运动物体的动态补偿技术。该数据集可能包含高速运动物体的点云序列，用于运动补偿算法的开发和评估。更多详细信息和使用指南可参考其GitHub仓库。
HiMo is a dataset focused on high-speed object motion compensation in point clouds, designed to study dynamic compensation techniques for high-speed moving objects through point cloud data. The dataset likely includes sequences of point clouds of high-speed moving objects for the development and evaluation of motion compensation algorithms. More details and usage guidelines can be found in its GitHub repository.
提供机构：
KTH
