A Novel Camera-to-Robot Calibration Method for Vision-Based Floor Measurements

A novel hand–eye calibration method for ground-observing mobile robots is proposed. While cameras on mobile robots are common, they are rarely used for ground-observing measurement tasks. Laser trackers are increasingly used in robotics for precise localization. A referencing plate is designed to combine the two measurement modalities of laser tracker 3D metrology and camera-based 2D imaging. It incorporates reflector nests for pose acquisition using a laser tracker and a camera calibration target that is observed by the robot-mounted camera. The procedure comprises estimating the plate pose, the plate—camera pose, and the robot pose, followed by computing the robot—camera transformation. Experiments indicate sub-millimeter repeatability.

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Publication Details

Journal
KITopen
Published
2026-07-22
DOI
https://doi.org/10.5445/ir/1000195480
Primary Topic
Robotics and Sensor-Based Localization
Type
article
Field-Weighted Citation Impact
0.00
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article

A Novel Camera-to-Robot Calibration Method for Vision-Based Floor Measurements

Dennis Haitz, Jan Andre Rudolph, Markus Ulrich
KITopen
Robotics and Sensor-Based Localization
article

A Novel Camera-to-Robot Calibration Method for Vision-Based Floor Measurements

Dennis Haitz, Jan Andre Rudolph, Markus Ulrich
article en

Abstract

A novel hand–eye calibration method for ground-observing mobile robots is proposed. While cameras on mobile robots are common, they are rarely used for ground-observing measurement tasks. Laser trackers are increasingly used in robotics for precise localization. A referencing plate is designed to combine the two measurement modalities of laser tracker 3D metrology and camera-based 2D imaging. It incorporates reflector nests for pose acquisition using a laser tracker and a camera calibration target that is observed by the robot-mounted camera. The procedure comprises estimating the plate pose, the plate—camera pose, and the robot pose, followed by computing the robot—camera transformation. Experiments indicate sub-millimeter repeatability.

KITopen
Openalex Percentile: Top 4%
Robotics and Sensor-Based Localization
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