robotics
The Tunnel Axis Was Still Invisible to LiDAR
A parameter-free odometry method detected when covariance regularization made an unobservable direction look healthy.
Summary
A parameter-free odometry method detected when covariance regularization made an unobservable direction look healthy.
LF-GICP replaces a misleadingly well-conditioned translation block with a voxel-normal localizability field that separates directional anisotropy from simple information dilution. Frozen rules produced the lowest reported KITTI relative translation error and generalized across four sensor types without retuning. The authors also show that a straight uniform tunnel remains unobservable along its axis for LiDAR-only registration; the method detects and manages the gap rather than inventing information.
Why it matters
A parameter-free odometry method detected when covariance regularization made an unobservable direction look healthy.
Limits and context
- The authors also show that a straight uniform tunnel remains unobservable along its axis for LiDAR-only registration; the method detects and manages the gap rather than inventing information.
Key claims
A parameter-free odometry method detected when covariance regularization made an unobservable direction look healthy.
Qualification: The authors also show that a straight uniform tunnel remains unobservable along its axis for LiDAR-only registration; the method detects and manages the gap rather than inventing information.
Evidence: source-2026-08-22-006
Sources
- arXiv preprint 2608.19522arXiv · primary research
Corrections
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