ball op• Data kinds: signal × points × table → table
• Call: import fullseye as fs; fs.ledger.flight_fit(t, p, omega, bp: 'dict', *, iters: 'int' = 12, dt: 'float' = 0.001) -> 'dict' (to call the implementation directly, import ballistics; ballistics.flight_fit(t, p, omega, bp: 'dict', *, iters: 'int' = 12, dt: 'float' = 0.001) -> 'dict'; from the registry, opsdrive.get("flight_fit"))
Fits the equations of motion with drag + Magnus (ω known) to observations (t_i, p_i) (an interval without bounces) with the 6 parameters of the initial state (p₀, v₀) by Gauss–Newton (finite-difference Jacobian). A parabola fit absorbs drag and Magnus into g and v₀, so its prediction bends — this one corresponds to the "tracking with an aerodynamic model" of prior work. Return value {"p0", "v0", "rms", "iters", "t0"} (p₀ and v₀ are the state at t = t[0]). Given a ground-truth trajectory it recovers it to 1e-9 (gate).
• 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_ball_bounce — py -3.11 examples/poc_ball_bounce.py
• poc_table_tennis_bounce — py -3.11 examples/poc_table_tennis_bounce.py
table as input)course_layout · course_occupancy · course_contains · world_build · world_camera · world_move · lidar_scan · rss_longitudinal_same
ball)ball_params · impact_params · flight_vacuum · flight_ode · flight_simulate · flight_state_at · magnus_lift_coefficient · drag_coefficient_sphere
*Provenance: ballistics.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.