course_loop_bend — DRIVE course op

• Data kinds: none → table (an op determined by its arguments alone — it takes no image or data input)

• Call: import fullseye as fs; fs.ledger.course_loop_bend(radius=30.0, width=8.0, arc_pts=64) (to call the implementation directly, import drivecourse; drivecourse.course_loop_bend(radius=30.0, width=8.0, arc_pts=64); from the registry, opsdrive.get("course_loop_bend"))

Usage

Semicircle at the end of the loop course (turning 180° to the left): entry (0, 0, 0) → around the center (0, R) → exit (0, 2R, π). The polygon is the half annulus bounded by the outer arc (radius R + w/2) and the inner arc (R − w/2). Area = π R w (closed form); the polygon is smaller by the amount lost to approximating the arcs with polylines and converges as arc_pts increases. Standard (loop course): width 8 m or more, roughly oval.

> The detailed description below is the original text — the summary and the headings are translated.

Raises ValueError: R ≤ w/2(内側の弧が潰れる)、幅・半径が正でない、arc_pts が不正。

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)

• poc_driving_school — py -3.11 examples/poc_driving_school.py

• poc_driving_town — py -3.11 examples/poc_driving_town.py

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 (course)

course_crank · course_s_curve · course_turnaround · course_slope · course_intersection · course_parallel_parking · course_crossing · course_road


*Provenance: drivecourse.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.