{
"$type": "site.standard.document",
"coverImage": {
"$type": "blob",
"ref": {
"$link": "bafkreif2ch3t3psb2cmqbrghxhtoajmw76bcwevwoc2deqpmw2rrxxhl6y"
},
"mimeType": "image/png",
"size": 100896
},
"description": "In various examples, operations include obtaining, from a machine learning model, feature classifications that correspond to features of objects depicted in images of a geographical area in which the images are provided to the machine learning model. The operations may also include annotating theā¦",
"path": "/patents/1322001",
"publishedAt": "2022-07-07T00:00:00.000Z",
"site": "at://did:plc:oql6ds5vnff4ugar6rruliwd/site.standard.publication/3mn3ohu7oxx5w",
"tags": [
"G01C21/3852",
"NVIDIA CORPORATION"
],
"textContent": "In various examples, operations include obtaining, from a machine learning model, feature classifications that correspond to features of objects depicted in images of a geographical area in which the images are provided to the machine learning model. The operations may also include annotating the images with three-dimensional representations that are based on the obtained feature classifications. Further, the operations may include generating map data corresponding to the geographical area based on the annotated images.",
"title": "HIGH-DEFINITION MAPS AND LOCALIZATION FOR ROAD VEHICLES"
}