LiDAR-camera Calibration in an Uniaxial 1-DoF Sensor System

Tamás Tófalvi, Bandó Kovács, Levente Hajder, Tekla Tóth

2022

Abstract

This paper introduces a novel camera-LiDAR calibration method using a simple planar chessboard pattern as the calibration object. We propose a special mounting for the sensors when only one rotation angle should be estimated for the calibration. It is proved that the calibration can optimally be solved in the least-squares sense even if the problem is overdetermined, i.e., when many chessboard patterns are visible for the sensors. The accuracy and precision of our unique solution are validated on both simulated and real-world data.

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Paper Citation


in Harvard Style

Tófalvi T., Kovács B., Hajder L. and Tóth T. (2022). LiDAR-camera Calibration in an Uniaxial 1-DoF Sensor System. In Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP, ISBN 978-989-758-555-5, pages 730-738. DOI: 10.5220/0010988800003124


in Bibtex Style

@conference{visapp22,
author={Tamás Tófalvi and Bandó Kovács and Levente Hajder and Tekla Tóth},
title={LiDAR-camera Calibration in an Uniaxial 1-DoF Sensor System},
booktitle={Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP,},
year={2022},
pages={730-738},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010988800003124},
isbn={978-989-758-555-5},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP,
TI - LiDAR-camera Calibration in an Uniaxial 1-DoF Sensor System
SN - 978-989-758-555-5
AU - Tófalvi T.
AU - Kovács B.
AU - Hajder L.
AU - Tóth T.
PY - 2022
SP - 730
EP - 738
DO - 10.5220/0010988800003124