Oriented per-voxel height images plus map-informed dual-resolution sampling yield robust real-time LiDAR-inertial odometry where standard LIO diverges.
Loam: Lidar odometry and mapping in real-time
2 Pith papers cite this work. Polarity classification is still indexing.
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cs.RO 2years
2026 2representative citing papers
UMI-3D integrates LiDAR into the UMI hardware for robust multimodal 3D perception in manipulation demonstrations, yielding higher policy success rates and enabling previously infeasible tasks like deformable object handling.
citing papers explorer
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BIEVR-LIO: Robust LiDAR-Inertial Odometry through Bump-Image-Enhanced Voxel Maps
Oriented per-voxel height images plus map-informed dual-resolution sampling yield robust real-time LiDAR-inertial odometry where standard LIO diverges.
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UMI-3D: Extending Universal Manipulation Interface from Vision-Limited to 3D Spatial Perception
UMI-3D integrates LiDAR into the UMI hardware for robust multimodal 3D perception in manipulation demonstrations, yielding higher policy success rates and enabling previously infeasible tasks like deformable object handling.