world_materials — DRIVE `terrain` op

• Data kinds: table × table × matrix × matrix × table → table

• Call: import fullseye as fs; fs.ledger.world_materials(world: 'dict', view: 'dict', pose, K, m: 'dict') -> 'dict' (to call the implementation directly, import driveterrain; driveterrain.world_materials(world: 'dict', view: 'dict', pose, K, m: 'dict') -> 'dict'; from the registry, opsdrive.get("world_materials"))

Usage

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

描画結果 `view`(world_camera、"shade" を含む)に路面の材質を画素ごとに掛ける。

路面(ラベル 0)と地形(10)の画素は世界座標で材質を評価し直す: アスファルトの粒(Perlin 8 周期/m)、草の色むら、

染み(暗い斑、ラベルは 0 のまま)、水溜り(空の写り込み、ラベル 11)。白線・横断歩道(9・12)は摩耗率 wear で

路面の色に混ぜる(ラベルは不変、真値 "wear" に残る)。水溜りの写り込みの強さ(0.1〜0.9、Perlin 1.5 周期/m)は真値 "refl"。

返り値 = `{"color", "label", "puddle", "refl", "stain", "wear", "xyz"}`。

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_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_build · world_camera · world_move · lidar_scan · rss_longitudinal_same

Same category (`terrain`)

perlin2 · fbm_params · fbm_height · fbm_gradient · radial_periodogram · spectral_slope · course_distance · terrain_params

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

world_materials — DRIVE terrain op