course op• Data kinds: table × table → table
• Call: import fullseye as fs; fs.ledger.course_layout(elements, placements) (to call the implementation directly, import drivecourse; drivecourse.course_layout(elements, placements); from the registry, opsdrive.get("course_layout"))
> This operator's description has not been translated yet. The original text follows as it is.
複数の要素を剛体運動 `(x, y, yaw)` で配置して 1 つの dict にする。
各要素の polygon / centerline / rails / stop_lines は点として、entry / exit / signal_poses は姿勢として
(yaw も回す)変換する。`profile`(坂道の (s, z))は要素の局所弧長なのでそのまま。返り値は
``{"kind": "layout", "elements": [変換済み要素(各々 "placement" を持つ)], "polygon": None,
"bounds": (xmin, xmax, ymin, ymax), "placements": [...]}`。内外判定は要素の和(course_contains` /
`course_occupancy`)。要素の重なりは和として扱う。
Raises `ValueError`: 要素が空・要素と配置の数が違う・要素が dict でない・配置が 3 要素で有限でない。
• 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_driving_longitudinal — py -3.11 examples/poc_driving_longitudinal.py
• poc_driving_school — py -3.11 examples/poc_driving_school.py
• poc_driving_weather — py -3.11 examples/poc_driving_weather.py
• poc_ttc_rss — py -3.11 examples/poc_ttc_rss.py
• poc_world_terrain — py -3.11 examples/poc_world_terrain.py
table as input)course_occupancy · course_contains · world_build · world_camera · world_move · lidar_scan · rss_longitudinal_same · rss_longitudinal_opposite
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.