v0.1.1

What's Changed since v0.1.0

IMU evaluation improvements

• Noise estimation via first-order differencing (= Allan Deviation at τ=dt), removing vehicle dynamics
• Multi-IMU: each IMU topic evaluated separately, best score reported
• Auto-detect static data → compute full Allan Variance (VRW/ARW + bias instability)
• Dynamic data → diff-based noise + recommendation note

Anomaly detection fix

• Fixed false positives on real-world data (31,972 → 640 on Newer College)
• Deduplicated IMU rate_gap / imu_frequency_drop detections
• Added minimum 50ms absolute gap threshold for high-rate topics

Documentation

• GitHub Pages site: https://rsasaki0109.github.io/bagx/
• Real-world evaluation results on LiDAR SLAM datasets
• Allan Variance equivalence documented

Full Changelog

v0.1.0...v0.1.1