grid_distances — DRIVE agv op

• Data kinds: image2d → image2d

• Call: import fullseye as fs; fs.ledger.grid_distances(grid, goal) (to call the implementation directly, import agvfleet; agvfleet.grid_distances(grid, goal); from the registry, opsdrive.get("grid_distances"))

Usage

Shortest number of moves on the grid to goal (BFS; obstacles are impassable). Unreachable cells are inf.

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)

• (none yet)

Ops the type connects to (they accept image2d as input)

flow_from_depth_motion · ttc_truth · ttc_from_flow · foe_from_flow · perlin2 · fbm_height · fbm_gradient · radial_periodogram

Same category (agv)

warehouse_grid · mapf_cbs · mapf_ecbs · mapf_joint_astar · mapf_prioritized · plan_conflicts · plan_cost · adg_build

*Provenance: agvfleet.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.