scene_pair_table — DRIVE carla op

• Data kinds: table → table

• Call: import fullseye as fs; fs.ledger.scene_pair_table(scene, *, lead_asset: 'str' = 'sedan', asset_root=None) -> 'dict' (to call the implementation directly, import carlabridge; carlabridge.scene_pair_table(scene, *, lead_asset: 'str' = 'sedan', asset_root=None) -> 'dict'; from the registry, opsdrive.get("scene_pair_table"))

Usage

Scores one scene record on both the CARLA image and the own-world image and puts them side by side. Returns {"truth", "carla": {...lead_from_depth}, "fullseye": {...}, "carla_error", "fullseye_error", "width", "height"} (error = depth_median − ground truth; the ground truth is lead_truth_depth).

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_carla_bridge — py -3.11 examples/poc_carla_bridge.py

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

course_layout · course_occupancy · course_contains · world_build · world_camera · world_move · lidar_scan · rss_longitudinal_same

Same category (carla)

carla_labels · carla_label_map · carla_label_unmap · carla_depth_decode · carla_depth_encode · carla_intrinsics · intrinsics_to_fullseye · intrinsics_to_carla

*Provenance: carlabridge.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.