tile_road_distance — DRIVE `inf` op

• Data kinds: any × any × table → any

• Call: import fullseye as fs; fs.ledger.tile_road_distance(i: 'int', j: 'int', x, y, tp: 'dict') -> 'np.ndarray' (to call the implementation directly, import driveinf; driveinf.tile_road_distance(i: 'int', j: 'int', x, y, tp: 'dict') -> 'np.ndarray'; from the registry, opsdrive.get("tile_road_distance"))

Usage

Distance from point (x, y) in tile (i, j) (in-tile coordinates) to the nearest road centerline. ★Also looks at the roads of the 8 neighboring tiles (shifting them into in-tile coordinates) — so that the tiles on both sides of a seam give the same distance near it.

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_driving_endless_map — py -3.11 examples/poc_driving_endless_map.py

Ops the type connects to (they accept `any` as input)

course_crank · course_s_curve · course_turnaround · course_slope · course_intersection · course_parallel_parking · course_crossing · course_road

Same category (`inf`)

tile_hash · tile_uniform · pose_normalize · tile_params · tile_edge_crossing · tile_roads · tile_height · tile_mesh

*Provenance: driveinf.py — DRIVE operator registry. This per-op note is generated by tools/opdocs.py md (do not hand-edit).*

tile_road_distance — DRIVE inf op