cylinder_fit_known_radius — DRIVE `pegsim` op

• Data kinds: points → table

• Call: import fullseye as fs; fs.ledger.cylinder_fit_known_radius(points, r: 'float', axis_point, axis, iters: 'int' = 25) -> 'dict' (to call the implementation directly, import pegsim; pegsim.cylinder_fit_known_radius(points, r: 'float', axis_point, axis, iters: 'int' = 25) -> 'dict'; from the registry, opsdrive.get("cylinder_fit_known_radius"))

Usage

> This operator's description has not been translated yet. The original text follows as it is.

半径 r が既知の円柱を 3-D 点群 (N, 3) に当てる: 軸上の点(軸に垂直な 2 自由度)と軸の向き(2 自由度)を Gauss-Newton で。

初期値 `axis_point・axis から出発し、残差 = 軸からの距離 − r。返り: axis_point(3,)、axis`(単位、入力の向きを保つ)、

`rms、n。**Raises** ValueError`: 点が 5 未満、r ≤ 0、axis がゼロ。

References (sample data, literature)

• 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.

Runnable examples (verified samples that actually call this op)

• (none yet)

Ops the type connects to (they accept `table` as input)

course_layout · course_occupancy · course_contains · world_build · world_camera · world_move · lidar_scan · rss_longitudinal_same

Same category (`pegsim`)

peg_params · whitney_clearance · two_point_depth · wedging_check · jamming_diagram · chamfer_capture · contact_state_predict · circle_fit_known_radius

*Provenance: pegsim.py — DRIVE operator registry. This per-op note is generated by tools/opdocs.py md (do not hand-edit).*

cylinder_fit_known_radius — DRIVE pegsim op