veiling_luminance — DRIVE `env` op

• Data kinds: any × any → any

• Call: import fullseye as fs; fs.ledger.veiling_luminance(E_glare, theta_deg, *, model: 'str' = 'stiles_holladay', age: 'float' = 40.0, p: 'float' = 0.5) (to call the implementation directly, import driveenv; driveenv.veiling_luminance(E_glare, theta_deg, *, model: 'str' = 'stiles_holladay', age: 'float' = 40.0, p: 'float' = 0.5); from the registry, opsdrive.get("veiling_luminance"))

Usage

Veiling luminance L_v [cd/m²] of disability glare (arrays allowed). E_glare = illuminance [lx] of the light source at the eye, θ = angle between light source and line of sight [deg].

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

model="stiles_holladay": L_v = 10 E / θ²(θ は 1°〜30° 程度で使われる経験式)。model="cie": CIE 146:2002 の一般式 L_v/E = 10/θ³ + (5/θ² + 0.1 p/θ)(1 + (age/62.5)⁴) + 0.0025 p (p = 目の色素の係数、既定 0.5)。θ ≤ 0 は拒否(光源そのものは光幕でなく像)。

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)

• (none yet)

Ops the type connects to (they accept `any` as input)

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

Same category (`env`)

julian_day · sun_at · sun_events · sun_vector · sun_illuminance · koschmieder · mor_from_beta · beta_from_mor

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

veiling_luminance — DRIVE env op