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GELS Achieves Closed-Form 6-DOF Electromagnetic Localization for Medical Tools

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Zhiwei Wu and co-authors propose GELS, a gradiometer-based electromagnetic localization system that uses a compact magnetometer array as an embedded quasi-gradiometer to estimate the local magnetic field and gradient tensor, then maps displacement via Euler homogeneous relations, and uses Procrustes registration under at least three non-collinear sources to recover the array's orientation and position, achieving closed-form 6-DOF pose estimation. The algorithm requires only known source positions and array geometry, with no need for pre-calibrated workspace field maps, initial pose guesses, or calibrated source magnetic moments. The authors report that bench experiments validated the pipeline, with a median solver runtime of 172.00 microseconds. Perturbation analysis indicates that inter-sensor inconsistency and dipole model mismatch are the main accuracy limitations, which the authors say will guide future sensor array and source design to improve pose accuracy.

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11月9日
  1. arXiv cs.RO
    GELS: Gradiometer-Based Electromagnetic Localization System Achieves Closed-Form 6-DoF Pose Estimation for Medical Tools

    The authors propose GELS, a gradiometer-based electromagnetic localization system that uses a compact magnetometer array as an embedded quasi-gradiometer to estimate the local magnetic field and gradient tensor, then maps displacements via the Euler homogeneous relation and uses Procrustes registration with at least three noncollinear sources to recover the array's orientation and position. The closed-form algorithm requires only known source positions and array geometry, with no pre-calibrated workspace field maps, initial pose guesses, or calibrated source magnetic moments; in benchtop experiments, the solver's median runtime was 172.00 microseconds. Perturbation analysis identifies inter-sensor inconsistency and dipole model mismatch as the main accuracy limits.

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