cvar_cost_map — DRIVE roverslip op

• Data kinds: image2d × scalar × any → table

• Call: import fullseye as fs; fs.ledger.cvar_cost_map(dtm, cell: 'float', model, alpha: 'float' = 0.9, speed: 'float' = 0.05, s_max: 'float' = 0.9, soil_map=None, extrapolate: 'bool' = False) -> 'dict' (to call the implementation directly, import roverslip; roverslip.cvar_cost_map(dtm, cell: 'float', model, alpha: 'float' = 0.9, speed: 'float' = 0.05, s_max: 'float' = 0.9, soil_map=None, extrapolate: 'bool' = False) -> 'dict'; from the registry, opsdrive.get("cvar_cost_map"))

Usage

From a digital terrain model (DTM), builds the travel time [s] of each 8-neighbor edge, discounted by the CVaR_α of the slip at the edge's slope (signed by the direction of travel).

> The detailed description below is the original text — the summary and the headings are translated.

dtm (H, W) [m]、cell [m]。辺 (i, j) → 近傍 k の傾き θ = atan2(Δz, 水平距離)、悲観的な滑り ρ = CVaR_α(s(θ))(θ ≥ 0)/ CVaR_α(−s(θ))(θ < 0)、所要時間 L / (v (1 − ρ))、L は 3-D の辺の長さ。ρ ≥ s_max と範囲外は inf。extrapolate = False(既定)では、模型を当てはめたデータの角の範囲(x_range)の外の傾きの辺も inf(分からない斜面は通らない)—— ガウス過程はデータの外で事前の平均に戻るので、外挿させると急斜面ほど「滑らない」と答える(門の罠)。alpha = 0 なら平均の滑り(リスクに中立)。model は 1 個か、soil_map (H, W の整数 0..K−1)と組で K 個の list。返り値 {"cost": (8, H, W), "risk_slip": (8, H, W), "pitch": (8, H, W) [deg], "offsets": (8, 2), "worst_slip": (H, W) 8 方向の ρ の最大, "alpha", "cell"}。横方向の傾き(横転・横滑り)は入れない。

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_rover_slip_risk_path — py -3.11 examples/poc_rover_slip_risk_path.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 (roverslip)

bekker_pressure · bekker_wheel_sinkage · wheel_forces · wheel_sinkage · wheel_traction_curve · slope_slip_curve · ground_shift_track · odometry_slip


*Provenance: roverslip.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.