Aurora Operations was granted a patent for interaction-based trajectory prediction.

{
  "signal_id": "3a6cf78d-e902-5096-a3c0-3172e39bc80e",
  "signal_type": "patents-company",
  "signal_subtype": "patentGrant",
  "detected_at": "2026-09-30T16:54:11+00:00",
  "company": {
    "name": "Aurora",
    "domain": "aurora.tech"
  },
  "data": {
    "cpc": [
      {
        "code": "B60W 50/0097",
        "label": "Conjoint control of vehicle sub-units; road-vehicle drive control systems"
      },
      {
        "code": "G06N 3/04",
        "label": "Computing arrangements based on specific computational models"
      },
      {
        "code": "B60W 2050/0028",
        "label": "Conjoint control of vehicle sub-units; road-vehicle drive control systems"
      },
      {
        "code": "B60W 2554/4041",
        "label": "Conjoint control of vehicle sub-units; road-vehicle drive control systems"
      },
      {
        "code": "B60W 2554/4042",
        "label": "Conjoint control of vehicle sub-units; road-vehicle drive control systems"
      }
    ],
    "tags": [
      "Intellectual Property",
      "Research & Development",
      "Automotive",
      "Autonomous Technology",
      "Artificial Intelligence"
    ],
    "detail": "In September 2026 Aurora Operations patented prediction technology for autonomous vehicles, helping onboard systems anticipate how nearby road users may move.",
    "summary": "Aurora Operations was granted a patent for interaction-based trajectory prediction.",
    "event_at": "2026-09-29",
    "inventors": [
      {
        "name": "Yiming Gu",
        "status": "unresolved",
        "is_primary": true
      },
      {
        "name": "Galen Clark Haynes",
        "status": "resolved",
        "is_primary": false,
        "linkedin_url": "https://www.linkedin.com/in/galen-clark-haynes"
      },
      {
        "name": "Anh Tuan Hoang",
        "status": "unresolved",
        "is_primary": false
      },
      {
        "name": "Sumit Kumar",
        "status": "unresolved",
        "is_primary": false
      },
      {
        "name": "Micol Marchetti-Bowick",
        "status": "resolved",
        "is_primary": false,
        "linkedin_url": "https://www.linkedin.com/in/micolmb"
      }
    ],
    "tech_area": "autonomous driving / ADAS",
    "event_kind": "grant_date",
    "grant_date": "2026-09-29",
    "source_url": "https://patents.google.com/patent/US12746935",
    "cpc_primary": {
      "code": "B60W 50/0097",
      "label": "Conjoint control of vehicle sub-units; road-vehicle drive control systems"
    },
    "patent_title": "Systems and methods for interaction-based trajectory prediction",
    "patent_number": "US12746935",
    "uspto_assignee": "AURORA OPERATIONS, INC.",
    "patent_abstract": "Systems and methods for predicting interactions between objects and predicting a trajectory of an object are presented herein. A system can obtain object data associated with a first object and a second object. The object data can have position data and velocity data for the first object and the second object. Additionally, the system can process the obtained object data to generate a hybrid graph using a graph generator. The hybrid graph can have a first node indicative of the first object and a second node indicative of the second object. Moreover, the system can process, using an interaction prediction model, the generated hybrid graph to predict an interaction type between the first node and the second node. Furthermore, the system can process, using a graph neural network model, the predicted interaction type between the first node and the second node to predict a trajectory of the first object.",
    "precision_class": "structural",
    "invention_explanation": "A method that represents nearby objects as connected points, combining their positions and speeds to predict interactions and likely paths.",
    "technologies_mentioned": [
      "autonomous driving",
      "trajectory prediction",
      "graph-based modeling",
      "ADAS"
    ]
  }
}

curl https://signals.autobound.ai/v1/signals/3a6cf78d-e902-5096-a3c0-3172e39bc80e \
  -H "X-API-KEY: $AUTOBOUND_API_KEY"

curl -X POST https://signals.autobound.ai/v1/companies/enrich \
  -H "X-API-KEY: $AUTOBOUND_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"domain":"aurora.tech","limit":20}'