plan_cost — DRIVE agv op

• Data kinds: table → scalar

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

Usage

Sum of costs: the sum over vehicles of the time each finally arrives at its goal (it must not move after arriving).

Empty input (paths with no items) raises ValueError.

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)

• gallery_drive_city_terrain — py -3.11 examples/gallery_drive_city_terrain.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 (agv)

warehouse_grid · grid_distances · mapf_cbs · mapf_ecbs · mapf_joint_astar · mapf_prioritized · plan_conflicts · 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.