Laser line scanners are increasingly being used in the subsea industry for high-resolution mapping and infrastructure inspection. However, calibrating the 3D pose of the scanner relative to the vehicle is a perennial source of confusion and frustration for industrial surveyors. This work describes three novel algorithms for laser-to-vehicle extrinsic calibration using naturally occurring features. Each algorithm makes a different assumption on the quality of the vehicle trajectory estimate, enabling good calibration results in a wide range of situations. A regularization technique is used to address low-observability scenarios frequently encountered in practice with large, rotationally stable subsea vehicles. Experimental results are provided for two field datasets, including the recently discovered wreck of the Endurance.
@article{arxiv.2402.14993,
title = {Laser-to-Vehicle Extrinsic Calibration in Low-Observability Scenarios for Subsea Mapping},
author = {Thomas Hitchcox and James Richard Forbes},
journal= {arXiv preprint arXiv:2402.14993},
year = {2024}
}
Comments
8 pages, 8 figures. Accepted for publication in IEEE Robotics and Automation Letters. Updated to include vol., no., and page nos