world_build — DRIVE world op

• Data kinds: table → table

• Call: import fullseye as fs; fs.ledger.world_build(course, *, props=(), kerb_height: 'float' = 0.15, kerb_width: 'float' = 0.3, lines: 'bool' = True, ground_margin: 'float' = 8.0, ground_step: 'float' = 4.0, joint_step: 'float' = 0.5, asset_root=None) -> 'dict' (to call the implementation directly, import driveworld; driveworld.world_build(course, *, props=(), kerb_height: 'float' = 0.15, kerb_width: 'float' = 0.3, lines: 'bool' = True, ground_margin: 'float' = 8.0, ground_step: 'float' = 4.0, joint_step: 'float' = 0.5, asset_root=None) -> 'dict'; from the registry, opsdrive.get("world_build"))

Usage

Builds a world from a course (element or layout).

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

路面 = 全体を覆う平面(z = 0、ラベル 0)。各要素の多角形の縁に縁石(ラベル 1、継ぎ目の辺は除く)、縁の内側 0.15 m に白線(ラベル 9)。坂道は斜面のメッシュ(ラベル 0)。交差点の signal_poses には信号機を立て(初期状態 "red"、日本式: 向こう側の柱 + アームで車線上に横型 3 灯、roadjp)、stop_lines に停止線、crosswalks に横断歩道の縞。props は (asset_name, x, y, yaw) か (asset_name, x, y, yaw[, dims[, paint]]) の並び(paint = 車の車体色、CAR_PAINTS)。返り値 = {"V","F","face_label","face_color","objects","bounds","course"}。

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_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

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

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

Same category (world)

world_camera · load_asset · world_move


*Provenance: driveworld.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.