RA-L 20242 citations

Laser-to-Vehicle Extrinsic Calibration in Low-Observability Scenarios for Subsea Mapping

Thomas Hitchcox, James Richard Forbes

Abstract

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 letter 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 <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Endurance</i> .

BibTeX
@inproceedings{ral2024_lasertovehicleex,
  title = {Laser-to-Vehicle Extrinsic Calibration in Low-Observability Scenarios for Subsea Mapping},
  author = {Thomas Hitchcox and James Richard Forbes},
  booktitle = {RA-L 2024},
  year = {2024}
}