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OpenExplorer/bev_multitask_henet_tinym

AI model by OpenExplorer

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bevmultitaskhenettinym is a camera-only BEV multitask perception model: HENet-tiny backbone + single-frame BevFormer view transformer, jointly performing five tasks — dynamic object 3D detection (with tracking), static object 3D detection, occupancy prediction, discrete map (stop line) detection, and online vectorized map (MapTR). It covers the full pipeline from 3-stage float training → quantization calibration → HBIR export → HBM compilation → inference. HENet-tiny extracts multi-view camera features; a single-frame SingleBevFormerViewTransformer (with LearnedPositionalEncoding, HorizonSpatialCrossAttention and HorizonMultiScaleDeformableAttention) lifts them to a 128×128 BEV grid covering [-51.2m, 51.2m]². The BEV feature drives five task…

OpenExplorer/bev_multitask_henet_tinym on Hugging Face A short preview, not the full document.

Read the full model card ↗ · Preview checked 2026-10-28T02:38:53.880Z

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  1. BEV Multitask + HENet-tiny
  2. Deployment Metrics
  3. Model Parameters
  4. Accuracy Metrics
  5. Performance Metrics
  6. Model Overview
  7. Core Design
  8. Official Repo and Paper

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Model overview

OpenExplorer/bev_multitask_henet_tinym is a task-unspecified model repository published by OpenExplorer on Hugging Face. A library was not reported.

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Created
2026-10-19T06:39:06.000Z
Last modified
2026-10-19T06:39:06.000Z

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