fbm_params — DRIVE `terrain` 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.fbm_params(seed: 'int' = 0, hurst: 'float' = 0.8, n_waves: 'int' = 128, f_min: 'float' = 0.005, f_max: 'float' = 0.125, amplitude: 'float' = 1.0) -> 'dict' (to call the implementation directly, import driveterrain; driveterrain.fbm_params(seed: 'int' = 0, hurst: 'float' = 0.8, n_waves: 'int' = 128, f_min: 'float' = 0.005, f_max: 'float' = 0.125, amplitude: 'float' = 1.0) -> 'dict'; from the registry, opsdrive.get("fbm_params"))

Usage

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

乱数位相の正弦の和で fBm 面を作るための表(Saupe 1988 のスペクトル合成の連続版)。

周波数は [f_min, f_max] に対数一様、向きは一様、位相は一様、振幅 ∝ f^{−H}。対数一様に撒いた波は

2 次元周波数面の密度が ∝ f^{−2} なので、パワースペクトルは ∝ A(f)² f^{−2} = f^{−(2H+2)}、

つまり β = 2H + E(E = 2)。振幅は RMS が `amplitude` になるよう正規化する。

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_rover_slip_risk_path — py -3.11 examples/poc_rover_slip_risk_path.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_height · fbm_gradient · radial_periodogram · spectral_slope · course_distance · terrain_params · terrain_height

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

fbm_params — DRIVE terrain op