tacslip op• Data kinds: table × matrix × matrix → table
• Call: import fullseye as fs; fs.ledger.mindlin_fit(model: 'dict', pts_px, u_m, n_coarse: 'int' = 101, n_fine: 'int' = 41, rigid: 'bool' = False) -> 'dict' (to call the implementation directly, import tacslip; tacslip.mindlin_fit(model: 'dict', pts_px, u_m, n_coarse: 'int' = 101, n_fine: 'int' = 41, rigid: 'bool' = False) -> 'dict'; from the registry, opsdrive.get("mindlin_fit"))
> This operator's description has not been translated yet. The original text follows as it is.
マーカー位置 pts_px (M, 2) [px] と変位 u_m (M, 2) [m] に (c/a, μP) を当てる: c/a を粗く走査 → 最良の周りを細かく、μP は各 c で
線形最小二乗。返り `c_over_a・q_ratio = 1 − (c/a)³・muP・Q・mu(= μP/P)・rms_m・shift_m`。
`rigid=True` は剛体シフト (tx, ty) も自由にする —— 試作では逆効果だった(外側 900 点の 1/r の尾と縮退して c/a が 0.028 ずれる)ので
既定は切る。実機のドリフトは接触の外の遠方マーカーで別途引くのが筋。真の変位で当てると c/a の誤差 0.001、画像からの追跡では 0.011
(重心の pixel-locking が共通モードで乗る)。Raises ValueError: 形の不一致、点が 3 個未満。
• Sample-data catalog (download URLs / licences) — 2-D uses skimage.data (BSD/public domain) plus synthetic images; 3-D lists download URLs for real data sources (Stanford, PDS, …).
• Operator provenance and references — the sources of the research/methods this op family came from.
• The canonical algorithm (author, year) and its uses are named in the family usage guide above.
• poc_tacsim_marker_shear — py -3.11 examples/poc_tacsim_marker_shear.py
table as input)course_layout · course_occupancy · course_contains · world_build · world_camera · world_move · lidar_scan · rss_longitudinal_same
tacslip)mindlin_partial_slip · mindlin_traction · hertz_surface_ur · hertzian_tangential_inner · cerruti_kernel · cerruti_surface_displacement · membrane_shear_field · membrane_markers
*Provenance: tacslip.py — DRIVE operator registry. This per-op note is generated by tools/opdocs.py md (do not hand-edit).*
© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.