ttc_from_range — DRIVE ttc op

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

• Call: import fullseye as fs; fs.ledger.ttc_from_range(distance: 'float', closing_speed: 'float') -> 'float' (to call the implementation directly, import drivettc; drivettc.ttc_from_range(distance: 'float', closing_speed: 'float') -> 'float'; from the registry, opsdrive.get("ttc_from_range"))

Usage

τ = d / v (seconds) from distance and closing speed. Ground truth derived from the world poses (inf if v ≤ 0, ValueError if d < 0).

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_ttc_rss — py -3.11 examples/poc_ttc_rss.py

Ops the type connects to (they accept scalar as input)

spin_from_marker_sequence · carla_transform_matrix · carla_pose_to_world · carla_camera_pose · carla_xy_yaw · carla_scene_load · town_chain · osm_parse

Same category (ttc)

relative_motion · foe_from_motion · flow_from_depth_motion · ttc_truth · ttc_from_flow · ttc_from_scale · label_extent · foe_from_flow

*Provenance: drivettc.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.