mirror_aim_normal — DRIVE `decide` op

• Data kinds: none → any (an op determined by its arguments alone — it takes no image or data input)

• Call: import fullseye as fs; fs.ledger.mirror_aim_normal(eye, mirror_center, look_dir) -> 'np.ndarray' (to call the implementation directly, import drivedecide; drivedecide.mirror_aim_normal(eye, mirror_center, look_dir) -> 'np.ndarray'; from the registry, opsdrive.get("mirror_aim_normal"))

Usage

Mirror normal that reflects a ray arriving from the eye eye at the mirror center mirror_center into the direction look_dir (works in 2D and 3D).

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

n = normalize(unit(E − M) + unit(ℓ))

(反射の法則: 入射の逆向きと反射の向きの二等分)。法線は眼の側を向く。look_dir が眼の方向と正反対(鏡を真横から見る)だと定まらないので ValueError。

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_decisions — py -3.11 examples/poc_driving_decisions.py

• poc_driving_pass — py -3.11 examples/poc_driving_pass.py

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 (`decide`)

mirror_reflection_matrix · mirror_virtual_camera · convex_mirror_fov · mirror_blind_zone · check_sequence_score · signal_phase_plan · signal_state · predict_amber_onset

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

mirror_aim_normal — DRIVE decide op