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arXiv · 2101.11440

Online Extrinsic Calibration based on Per-Sensor Ego-Motion Using Dual Quaternions

Markus Horn·Thomas Wodtko·Michael Buchholz·Klaus Dietmayer
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Abstract

In this work, we propose an approach for extrinsic sensor calibration from per-sensor ego-motion estimates. Our problem formulation is based on dual quaternions, enabling two different online capable solving approaches. We provide a certifiable globally optimal and a fast local approach along with a method to verify the globality of the local approach. Additionally, means for integrating previous knowledge, for example, a common ground plane for planar sensor motion, are described. Our algorithms are evaluated on simulated data and on a publicly available dataset containing RGB-D camera images. Further, our online calibration approach is tested on the KITTI odometry dataset, which provides data of a lidar and two stereo camera systems mounted on a vehicle. Our evaluation confirms the short run time, state-of-the-art accuracy, as well as online capability of our approach while retaining the global optimality of the solution at any time.

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Markus Horn, Thomas Wodtko, Michael Buchholz, Klaus Dietmayer. 2021-01-27. Online Extrinsic Calibration based on Per-Sensor Ego-Motion Using Dual Quaternions. https://doi.org/10.1109/lra.2021.3056352

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