{
  "$type": "site.standard.document",
  "coverImage": {
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  "description": "According to an aspect of an embodiment, operations may comprise accessing a map of a region. The map may comprise a three-dimensional (3D) point cloud comprising points of the region. Each of the points may comprise a pixel that comprises a red channel, a green channel, a blue channel, and…",
  "path": "/patents/1280150",
  "publishedAt": "2020-12-31T00:00:00.000Z",
  "site": "at://did:plc:oql6ds5vnff4ugar6rruliwd/site.standard.publication/3mn3ohu7oxx5w",
  "tags": [
    "G01C21/30",
    "DeepMap Inc."
  ],
  "textContent": "According to an aspect of an embodiment, operations may comprise accessing a map of a region. The map may comprise a three-dimensional (3D) point cloud comprising points of the region. Each of the points may comprise a pixel that comprises a red channel, a green channel, a blue channel, and intensity channel, and a height channel. The operations may also comprise identifying a set of points on the ground in the 3D point cloud. The operations may also comprise providing the set of points as input to a deep learning model. The operations may also comprise determining, using the deep learning model, whether each of the set of points is within a ground feature. The operations may also comprise storing, in the map, information regarding the ground feature in the map of the region.",
  "title": "DEEP LEARNING-BASED DETECTION OF GROUND FEATURES USING A HIGH DEFINITION MAP"
}