{
  "$type": "site.standard.document",
  "description": "Enclosed are embodiments of an ML-based framework for drivable surface annotation. In an embodiment, a method comprises: obtaining, using at least one processor, multimodal map data for a geographic region; and automatically annotating, using the at least one processor, one or more semantic masks…",
  "path": "/patents/1335673",
  "publishedAt": "2023-01-19T00:00:00.000Z",
  "site": "at://did:plc:oql6ds5vnff4ugar6rruliwd/site.standard.publication/3mn3ohu7oxx5w",
  "tags": [
    "G06V20/56",
    "Motional AD LLC"
  ],
  "textContent": "Enclosed are embodiments of an ML-based framework for drivable surface annotation. In an embodiment, a method comprises: obtaining, using at least one processor, multimodal map data for a geographic region; and automatically annotating, using the at least one processor, one or more semantic masks of the map data using a machine learning model.",
  "title": "MACHINE LEARNING-BASED FRAMEWORK FOR DRIVABLE SURFACE ANNOTATION"
}