Nuro was granted a patent for validating lidar calibration.

{
  "signal_id": "77c6c536-5db2-5a52-8709-8bcfee40f04d",
  "signal_type": "patents-company",
  "signal_subtype": "patentGrant",
  "detected_at": "2026-09-17T21:39:55+00:00",
  "company": {
    "name": "Nuro",
    "domain": "nuro.ai"
  },
  "data": {
    "cpc": [
      {
        "code": "G01S 7/497",
        "label": "Radio direction-finding, navigation, ranging (radar/lidar/sonar)"
      },
      {
        "code": "G01S 7/4817",
        "label": "Radio direction-finding, navigation, ranging (radar/lidar/sonar)"
      },
      {
        "code": "G01S 17/89",
        "label": "Radio direction-finding, navigation, ranging (radar/lidar/sonar)"
      },
      {
        "code": "G01S 17/931",
        "label": "Radio direction-finding, navigation, ranging (radar/lidar/sonar)"
      }
    ],
    "tags": [
      "Intellectual Property",
      "Research & Development",
      "Autonomous Technology",
      "Automotive"
    ],
    "detail": "In July 2026 Nuro patented a quality-check method for lidar sensors used in autonomous vehicles and other robotic platforms.",
    "summary": "Nuro was granted a patent for validating lidar calibration.",
    "event_at": "2026-07-21",
    "inventors": [
      {
        "name": "Jingwen Zoe Du",
        "status": "unresolved",
        "is_primary": true
      },
      {
        "name": "Yang Han",
        "status": "unresolved",
        "is_primary": false
      },
      {
        "name": "Laszlo Peter Berczi",
        "status": "resolved",
        "is_primary": false,
        "linkedin_url": "https://www.linkedin.com/in/laszlo-peter-berczi"
      }
    ],
    "tech_area": "radar / lidar / sensing",
    "event_kind": "grant_date",
    "grant_date": "2026-07-21",
    "source_url": "https://patents.google.com/patent/US12687622",
    "cpc_primary": {
      "code": "G01S 7/497",
      "label": "Radio direction-finding, navigation, ranging (radar/lidar/sonar)"
    },
    "patent_title": "Methods and apparatus for validation of intrinsic parameters for lidar",
    "patent_number": "US12687622",
    "uspto_assignee": "NURO, INC.",
    "patent_abstract": "According to one aspect, a method includes positioning a lidar on a platform, measuring at least a first data point using the lidar, measuring at least a second data point using the lidar, processing the at least first data point and the at least second data point to identify a first estimated location of the vertex, and determining whether the first estimated location of the vertex meets the specification, wherein when it is determined that the first estimated location of the vertex meets at least one specification associated with the lidar, the lidar is verified. The platform rotates about a first axis, wherein when the platform rotates about the first axis, the lidar rotates about the first axis. The data points measured with respect to a target, the target having at least a first edge, a second edge, and a vertex at which the first edge meets the second edge.",
    "precision_class": "structural",
    "invention_explanation": "A process that uses several lidar measurements to estimate a key internal reference point and verify that it falls within the required accuracy range.",
    "technologies_mentioned": [
      "lidar",
      "sensor calibration",
      "autonomous systems"
    ]
  }
}

curl https://signals.autobound.ai/v1/signals/77c6c536-5db2-5a52-8709-8bcfee40f04d \
  -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":"nuro.ai","limit":20}'