A new urban 3D reconstruction method enhances Tomographic Synthetic Aperture Radar (TomoSAR) imaging using geometric semantics.

A new urban 3D reconstruction method enhances Tomographic Synthetic Aperture Radar (TomoSAR) imaging using geometric semantics. By incorporating ...

Panoramic segmentation of 3D point clouds is an essential and challenging technology for robots with 3D detection and measurement capabilities. In order to fuse the color information of 2D image ...

Third, we establish dense 2D-3D correspondences to estimate the rigid pose. The framework not only learns fine-grained matching from points to pixels but also achieves alignment of the image and point ...

Learn how LiDAR-based obstacle avoidance works and how it compares to other methods for autonomous robots. Find out the pros and cons of each method and how to choose the best one.

Extensive experiments on challenging point cloud datasets across various tasks demonstrate that PointGST not only outperforms its fully fine-tuning counterpart but also significantly reduces trainable ...

Paper | Appendix | Data This repository is the implementation for "Robust LiDAR-Camera Calibration with 2D Gaussian Splatting", accepted to IEEE Robotics and Automation Letters (Ra-L), 2025.