SE(2) NavMesh adds yaw-dependent traversability layers to polygonal navigation meshes, paired with ASA hierarchical pathfinding and incremental point-cloud updates, claiming over 50% more traversable area than standard navmeshes.
Real-time 3d reconstruction at scale using voxel hashing
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
citation-role summary
background 1
citation-polarity summary
years
2026 3verdicts
UNVERDICTED 3roles
background 1polarities
background 1representative citing papers
D-BDM reduces update time and memory in LiDAR 3D occupancy mapping by restricting ray casting to boundary exteriors and enabling direct boundary updates.
VBGS-SLAM uses variational inference on conjugate Gaussian properties to couple 3DGS map refinement and pose tracking with closed-form updates and posterior uncertainty, reducing drift compared to deterministic methods.
citing papers explorer
-
SE(2) Navigation Mesh
SE(2) NavMesh adds yaw-dependent traversability layers to polygonal navigation meshes, paired with ASA hierarchical pathfinding and incremental point-cloud updates, claiming over 50% more traversable area than standard navmeshes.
-
D-BDM: A Direct and Efficient Boundary-Based Occupancy Grid Mapping Framework for LiDARs
D-BDM reduces update time and memory in LiDAR 3D occupancy mapping by restricting ray casting to boundary exteriors and enabling direct boundary updates.
-
VBGS-SLAM: Variational Bayesian Gaussian Splatting Simultaneous Localization and Mapping
VBGS-SLAM uses variational inference on conjugate Gaussian properties to couple 3DGS map refinement and pose tracking with closed-form updates and posterior uncertainty, reducing drift compared to deterministic methods.