Simulations and supercomputing calculate one million cislunar orbits

Satellites and spacecraft in the vast region between Earth and the moon and just beyond—called cislunar space—are crucial for ...
GitHub

Rectified Point Flow: Generic Point Cloud Pose Estimation

Improved model speed (9-12% faster) and training stability. Fixed bugs in configs, RK2 sampler, and validation. Simplified point cloud packing and shaping. Checkpoints are compatible with the previous ...
GitHub

ALICE-LRI

ALICE-LRI (Automatic LiDAR Intrinsic Calibration Estimation for Lossless Range Images) is a C++ and Python library for lossless range image generation and reconstruction from spinning 3D LiDAR point ...
IEEE

LTM: A Fast and Error-sensitive Point Cloud Clustering Algorithm for LiDAR Panoptic Segmentation

Abstract: Point cloud clustering is a crucial approach to understand and analyze geometric information for both robotic systems and autonomous driving. To meet real-time requirements, several existing ...
IEEE

Low-Overlap Point Cloud Registration via Correspondence Augmentation

Abstract: Existing works have made some progress in point cloud registration, but most of them measure performance only on point cloud pairs with high overlap. In practical applications, it is often ...