wifi-densepose/v2/crates/ruview-swarm/evals/RESULTS.md

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ruview-swarm Evaluation Results (ADR-149 Stage 1, kinematic)

Statistically-rigorous evaluation harness: seeded multi-run rollouts with IQM + 95% stratified-bootstrap confidence intervals (Agarwal et al., NeurIPS 2021).

Run configuration

  • Stage: 1 (kinematic, self-contained, deterministic per seed)
  • Episodes per pattern: 100 (seed × episode matrix)
  • CI method: 95% stratified bootstrap of the IQM, stratified by seed
  • GDOP: 2-D geometric dilution of precision at first detection

Stage 2 pending: high-fidelity Gazebo/PX4 SITL evaluation (false-alarm rate, real collision rate on the median seeds) is a follow-on — see ADR-149 §6.1. The collision figures below are a kinematic min-separation proxy, not SITL physics.

Flight-pattern leaderboard

Flight pattern Coverage IQM [95% CI] Localization (m) IQM [95% CI] Detection rate Mean GDOP
partitioned_lawnmower 1.000 [1.000, 1.000] 7.022 [5.669, 8.379] 100.0% 0.000
pheromone 0.662 [0.652, 0.671] 4.110 [3.346, 5.141] 95.0% 1.598
levy_flight 0.490 [0.489, 0.491] 3.523 [2.897, 4.160] 100.0% 0.000
boustrophedon 0.370 [0.370, 0.370] 2.740 [2.357, 3.207] 100.0% 0.000
spiral 0.336 [0.336, 0.336] 3.082 [2.678, 3.568] 100.0% 0.000
potential_field 0.254 [0.252, 0.256] 4.343 [3.489, 5.265] 100.0% 0.000
Wi2SAR (paper baseline) n/a 5.0 (paper) n/a n/a

Wi2SAR row is the published single-drone localization figure (arxiv 2604.09115), shown paper-to-paper for reference only — it was not re-run through this kinematic harness.