Lockheed Martin was granted a patent for camera-guided aerial landing.

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  "signal_type": "patents-company",
  "signal_subtype": "patentGrant",
  "detected_at": "2026-09-30T16:55:13+00:00",
  "company": {
    "name": "Lockheed Martin",
    "domain": "lockheedmartin.com"
  },
  "data": {
    "cpc": [
      {
        "code": "B64D 45/08"
      },
      {
        "code": "G06T 7/73",
        "label": "Image data processing or generation, in general"
      },
      {
        "code": "G06T 11/00",
        "label": "Image data processing or generation, in general"
      },
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        "code": "G06V 10/7715",
        "label": "Image or video recognition or understanding"
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        "code": "G06V 20/17",
        "label": "Image or video recognition or understanding"
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    "tags": [
      "Intellectual Property",
      "Research & Development",
      "Artificial Intelligence",
      "Autonomous Technology"
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    "detail": "In September 2026 Lockheed Martin patented machine-learning navigation for helping aerial vehicles identify and land on designated platforms.",
    "summary": "Lockheed Martin was granted a patent for camera-guided aerial landing.",
    "event_at": "2026-09-29",
    "inventors": [
      {
        "name": "Timothy Schmidt",
        "status": "resolved",
        "is_primary": true,
        "linkedin_url": "https://www.linkedin.com/in/timothy-schmidt-387662117"
      },
      {
        "name": "Roderick S. Duplin",
        "status": "resolved",
        "is_primary": false,
        "linkedin_url": "https://www.linkedin.com/in/roderick-duplin-26500545"
      },
      {
        "name": "Robert S. Takacs",
        "status": "unresolved",
        "is_primary": false
      },
      {
        "name": "Karl B. Scherer",
        "status": "unresolved",
        "is_primary": false
      }
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    "event_kind": "grant_date",
    "grant_date": "2026-09-29",
    "source_url": "https://patents.google.com/patent/US12747032",
    "cpc_primary": {
      "code": "B64D 45/08"
    },
    "patent_title": "Optical measurement system to land an aerial vehicle",
    "patent_number": "US12747032",
    "uspto_assignee": "LOCKHEED MARTIN CORPORATION",
    "patent_abstract": "Aerial navigation is disclosed. A system can receive, via a camera coupled to the aerial vehicle, image frames of a platform. The system can generate, via a first model trained with machine learning on reference patterns, a feature map that identifies a predetermined pattern. The system can input, responsive to recognition of the predetermined pattern, a feature map generated by the first model into a second model trained with machine learning on slope-intercept functions. The system can determine, based on an offset of the zone in the image frame and the orientation of the aerial vehicle relative to the zone, a vector between the aerial vehicle and the zone. The system can provide for display, via a display device communicatively coupled to the computing system, an indication of the vector overlayed on a digital representation of the image frame.",
    "precision_class": "structural",
    "invention_explanation": "A camera system recognizes a known platform pattern and uses learned geometry to estimate the platform’s position and guide the vehicle toward a landing.",
    "technologies_mentioned": [
      "computer vision",
      "machine learning",
      "aerial navigation",
      "autonomous landing"
    ]
  }
}

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  -H "X-API-KEY: $AUTOBOUND_API_KEY" \
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