{
  "$type": "site.standard.document",
  "description": "Systems and methods for validating accuracy of a Simultaneous Localization and Mapping (SLAM) representation are provided. For example, a methodology of the presently disclosed technology may comprise: (1) generating a Simultaneous Localization and Mapping (SLAM) representation of an environment…",
  "path": "/patents/1378005",
  "publishedAt": "2026-01-15T00:00:00.000Z",
  "site": "at://did:plc:oql6ds5vnff4ugar6rruliwd/site.standard.publication/3mn3ohu7oxx5w",
  "tags": [
    "G01C21/30",
    "TOYOTA JIDOSHA KABUSHIKI KAISHA"
  ],
  "textContent": "Systems and methods for validating accuracy of a Simultaneous Localization and Mapping (SLAM) representation are provided. For example, a methodology of the presently disclosed technology may comprise: (1) generating a Simultaneous Localization and Mapping (SLAM) representation of an environment; (2) using a machine learning model to quantify accuracy of the SLAM representation based on values for pre-selected features of the SLAM representation; and (3) generate a digital representation for the quantified accuracy of the SLAM representation. In certain embodiments, the pre-selected features of the SLAM representation may comprise at least one of: (a) distance between landmarks in the SLAM representation; or (b) node degrees for the landmarks in the SLAM representation.",
  "title": "VALIDATING A SLAM SYSTEM OUTPUT"
}