pass op• Data kinds: any → table
• Call: import fullseye as fs; fs.ledger.convex_mirror_image(object_distance, radius: 'float', *, eye_distance: 'float', object_size: 'float' = 1.0) -> 'Dict[str, object]' (to call the implementation directly, import drivepass; drivepass.convex_mirror_image(object_distance, radius: 'float', *, eye_distance: 'float', object_size: 'float' = 1.0) -> 'Dict[str, object]'; from the registry, opsdrive.get("convex_mirror_image"))
Virtual image in a convex mirror (paraxial, arrays allowed). Scenarios S064, S130.
1/a + 1/b = 2/R (b is the virtual image behind the mirror) → b = aR/(2a + R), magnification m = R/(2a + R). When the eye is at e (eye_distance) from the mirror, the apparent size of the image θ = 2 atan(m h /(2(e + b))); paraxially m h/(e + b) = h/(e + k a), k = 1 + 2e/R. flat_equivalent_distance = distance k a of a flat mirror that shows the same size (how far away it appears).
Empty input (object_distance with 0 elements) raises ValueError.
• 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.
• poc_driving_pass — py -3.11 examples/poc_driving_pass.py
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.