[2606.15010] LV-Calib: LiDAR-Camera Extrinsic Calibration with Boundary-Response Modeling
[Submitted on 12 Jun 2026]
Title:LV-Calib: LiDAR-Camera Extrinsic Calibration with Boundary-Response Modeling
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Abstract:We present LV-Calib, a calibration framework for LiDAR-camera extrinsic estimation and LiDAR boundary-response calibration using a printable planar target. The target serves as a shared observation carrier: visual fiducials provide indexed image measurements, while circular reflectivity boundaries provide LiDAR-observable structural feature points. Instead of directly fitting boundary points as ideal geometric contours, LV-Calib automatically crops background points, estimates the target plane, and iteratively refines accurate LiDAR-side 3-D feature points from intensity and geometric constraints. The refinement explicitly handles the broadened and distorted transition band induced by finite beam footprint and mixed-intensity returns around black-white reflectivity discontinuities. Given these refined LiDAR features, we formulate a weighted reprojection-consistent extrinsic optimization with LiDAR feature alignment, where image observations are kept in the reprojection domain and LiDAR feature residuals are weighted by refinement confidence. Finally, using the estimated extrinsic and the extracted transition band, LV-Calib calibrates the LiDAR boundary response by estimating pitch-yaw-range residual statistics of boundary-overlap samples. Experiments on printed-board calibration data demonstrate sub-pixel reprojection accuracy, millimeter-level LiDAR feature consistency, and improved odometry performance. Code and calibration data will be released for reproducible evaluation.
Comments: Comments: 8 pages, 6 figures, 3 tables
Subjects:
Robotics (cs.RO)
Cite as: arXiv:2606.15010 [cs.RO]
(or arXiv:2606.15010v1 [cs.RO] for this version)
https://doi.org/10.48550/arXiv.2606.15010
arXiv-issued DOI via DataCite (pending registration)
Submission history
From: Sheng Hong [view email] [v1] Fri, 12 Jun 2026 23:11:09 UTC (1,110 KB)
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