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Meridian LanePolicy-Mini

18%
by Meridian Autonomy

Smaller lane-change policy distilled from the Meridian Tier-1 stack. Validated for cut-in, merge, and yield in HIL.

Vision-Language-ActionCustomMIXEDavlane-changepolicy
4.8K downloads 320 deploymentsUpdated Apr 8, 2028
Headline:18.2ms · NVIDIA Jetson Thor · MIXED

About this model

Smaller lane-change policy distilled from the Meridian Tier-1 stack. Validated for cut-in, merge, and yield in HIL.

Authored by meridian. Curated into the Fo’c’sle reference set on 2028-04-08. All cross-chip benchmarks below were collected in matched-pair runs in the HIL lab using the same input pipeline, same upstream preprocessing, and the same downstream consumer. See the methodology page for the full protocol.

Task
Vision-Language-Action
Parameters
1.1 B
Benchmarked on
2 chips
Deployments
320

Architecture

Vision-Language-Action policy
Inferred from upstream weights · simplified
RGB camsProprioGoal textVLM backboneAction headDiscretizerJoint cmds

Headline benchmarks

Training data

Pretrained on the upstream maintainer’s released checkpoint. Edge-distillation pass uses 2.4M frames from the Fo’c’sle distillation corpus (consented public data + opt-in publisher contributions). Quantization-aware fine-tune uses 320K calibration samples drawn from the target task’s eval domain.

  • Pretraining corpus: upstream maintainer release
  • Distillation corpus: 2,400,000 frames
  • Calibration set: 320,000 samples (per task)
  • Eval set: standard benchmark + matched-pair HIL runs