pass op• Data kinds: points → table
• Call: import fullseye as fs; fs.ledger.mirror_image_side(eye_xy, mirror_center_xy, mirror_normal_xy, points, *, heading, velocities=None) -> 'Dict[str, object]' (to call the implementation directly, import drivepass; drivepass.mirror_image_side(eye_xy, mirror_center_xy, mirror_normal_xy, points, *, heading, velocities=None) -> 'Dict[str, object]'; from the registry, opsdrive.get("mirror_image_side"))
Whether a point seen in a curve mirror appears to the left or right of the mirror center, and which way it appears to move (flat-mirror closed form). Scenarios S064, S130.
> The detailed description below is the original text — the summary and the headings are translated.
左右の向きは凸面鏡でも同じ(門で光線追跡と照合。凸面は角を縮めるだけ)。
上から見た 2 次元(x, y)。像 P' = P − 2((P − M)·n)n(drivedecide.mirror_reflection_matrix の 2 次元版)。image_offset = 眼から鏡の中心を見る向きに対する像の向きの角(+ = 左)。real_side = heading(運転者の前)に対して物が左(+1)か右(−1)か。velocities を渡すと image_motion = 像の角の速さ、direct_motion = 眼から物を直接見たときの角の速さ(遮りは見ない)、virtual_eye_motion = 仮想の眼 E' から見た角の速さ(= −image_motion が恒等式)、reversed = 像と直接の動きの向きが逆か。
• 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.
• (none yet)
table as input)course_layout · course_occupancy · course_contains · world_build · world_camera · world_move · lidar_scan · rss_longitudinal_same
pass)overtake_requirement · overtake_return_gap · no_overtaking_zones · overtake_permitted · overtaken_conduct_check · lane_change_follower_decel · lane_change_permitted · roundabout_entry_check
*Provenance: drivepass.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.