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    "story_id": "mp-2026-11-12-006",
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    "headline": "The Radar Keeps the Cube",
    "slug": "the-radar-keeps-the-cube",
    "dek": "RaMOD detects moving objects directly in range-azimuth-Doppler data while separating ego motion from real scene motion.",
    "summary": "RaMOD detects moving objects directly in range-azimuth-Doppler data while separating ego motion from real scene motion.",
    "body_text": "RaMOD works from raw millimeter-wave radar cubes rather than first reducing them to sparse points or two-dimensional projections. It estimates the vehicle's motion, predicts where stationary structures should appear in Doppler space and suppresses those returns before detecting and estimating moving objects. On the authors' BRIDGE-Liv dataset, the system reached 80.8% cube mean average precision at the stated overlap threshold, 15.7 points above the strongest compared raw-cube baseline. Its reported velocity error was 1.128 meters per second with 99.87% Doppler-wrap classification accuracy.",
    "why_it_matters": "RaMOD detects moving objects directly in range-azimuth-Doppler data while separating ego motion from real scene motion.",
    "limitations": [],
    "importance": 7,
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    "first_published_at": "2026-11-12T09:00:00.000-05:00",
    "modified_at": "2026-11-12T09:00:00.000-05:00",
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    "tags": [
      "radar",
      "autonomy",
      "perception",
      "doppler"
    ],
    "image_url": null,
    "corrections": []
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  "sources": [
    {
      "source_id": "source-2026-11-12-006",
      "title": "arXiv:2611.13271v1",
      "publisher": "arXiv / Cornell University",
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      "published_at": "2026-11-09T16:36:59.000-05:00",
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  "publisher": {
    "name": "The Machine Press",
    "url": "https://themachinepress.com",
    "description": "A daily newspaper for the age of artificial intelligence."
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  "cite_this_report": {
    "title": "The Radar Keeps the Cube",
    "publisher": "The Machine Press",
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