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Found 5 papers, 2 papers with code
GauSS-MI: Gaussian Splatting Shannon Mutual Information for Active 3D Reconstruction
This research tackles the challenge of real-time active view selection and uncertainty quantification on visual quality for active 3D reconstruction.
Temporal Overlapping Prediction: A Self-supervised Pre-training Method for LiDAR Moving Object Segmentation
Moving object segmentation (MOS) on LiDAR point clouds is crucial for autonomous systems like self-driving vehicles.
Neural Surface Reconstruction and Rendering for LiDAR-Visual Systems
We unify the training of the NDF and NeRF using a spatial-varying scale SDF-to-density transformation for levels of detail for both structure and appearance.
ImMesh: An Immediate LiDAR Localization and Meshing Framework
This voxel-wise meshing operation is delicately designed for the purpose of efficiency; it first performs a dimension reduction by projecting 3D points to a 2D local plane contained in the voxel, and then executes the meshing operation with pull, commit and push steps for incremental reconstruction of triangle facets.
Robots State Estimation and Observability Analysis Based on Statistical Motion Models
It is shown that this new paradigm is much simpler and more natural than existing methods based on quaternion parameterizations.
