{
  "$type": "site.standard.document",
  "description": "In various examples, calibration techniques for interior depth sensors and image sensors for in-cabin monitoring systems and applications are provided. An intermediary coordinate system may be generated using calibration targets distributed within an interior space to reference 3D positions of…",
  "path": "/patents/1361488",
  "publishedAt": "2024-03-28T00:00:00.000Z",
  "site": "at://did:plc:oql6ds5vnff4ugar6rruliwd/site.standard.publication/3mn3ohu7oxx5w",
  "tags": [
    "G06V10/245",
    "NVIDIA Corporation"
  ],
  "textContent": "In various examples, calibration techniques for interior depth sensors and image sensors for in-cabin monitoring systems and applications are provided. An intermediary coordinate system may be generated using calibration targets distributed within an interior space to reference 3D positions of features detected by both depth-perception and optical image sensors. Rotation-translation transforms may be determined to compute a first transform (H1) between the depth-perception sensor's 3D coordinate system and the 3D intermediary coordinate system, and a second transform (H2) between the optical image sensor's 2D coordinate system and the intermediary coordinate system. A third transform (H3) between the depth-perception sensor's 3D coordinate system and the optical image sensor's 2D coordinate system can be computed as a function of H1 and H2. The calibration targets may comprise a structural substrate that includes one or more fiducial point markers and one or more motion targets.",
  "title": "MULTI-MODAL SENSOR CALIBRATION FOR IN-CABIN MONITORING SYSTEMS AND APPLICATIONS"
}