{
"$type": "site.standard.document",
"description": "A model generation method includes specifying image coordinates that fall within a two-dimensional image obtained by capturing at least a mobile object and that correspond to at least one point among vertexes of a rectangular shape formed when an outer shape of the mobile object viewed from aboveā¦",
"path": "/patents/1335998",
"publishedAt": "2023-01-26T00:00:00.000Z",
"site": "at://did:plc:oql6ds5vnff4ugar6rruliwd/site.standard.publication/3mn3ohu7oxx5w",
"tags": [
"G06V20/58",
"TOYOTA JIDOSHA KABUSHIKI KAISHA"
],
"textContent": "A model generation method includes specifying image coordinates that fall within a two-dimensional image obtained by capturing at least a mobile object and that correspond to at least one point among vertexes of a rectangular shape formed when an outer shape of the mobile object viewed from above is projected on a road, as a key point of the mobile object, and creating the two-dimensional image, to which information on the key point is added, as training data, and generating a machine learning model that outputs the key point from a two-dimensional image obtained by capturing at least a mobile object, by performing machine learning using the training data.",
"title": "MODEL GENERATION METHOD, MODEL GENERATION APPARATUS, NON-TRANSITORY STORAGE MEDIUM, MOBILE OBJECT POSTURE ESTIMATION METHOD, AND MOBILE OBJECT POSTURE ESTIMATION APPARATUS"
}