{
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  "description": "A method for generating predictions for vectorized High Definition (HD) map elements includes obtaining sensor data generated by sensors of a vehicle; extracting feature maps from the sensor data; identifying anchor regions based on the feature maps, wherein the anchor regions represent potential…",
  "path": "/patents/1379352",
  "publishedAt": "2026-03-12T00:00:00.000Z",
  "site": "at://did:plc:oql6ds5vnff4ugar6rruliwd/site.standard.publication/3mn3ohu7oxx5w",
  "tags": [
    "G01C21/3815",
    "QUALCOMM Incorporated"
  ],
  "textContent": "A method for generating predictions for vectorized High Definition (HD) map elements includes obtaining sensor data generated by sensors of a vehicle; extracting feature maps from the sensor data; identifying anchor regions based on the feature maps, wherein the anchor regions represent potential locations for vectorized HD map elements, and wherein the vectorized HD map represents an environment surrounding the vehicle; generating initial object queries in the anchor regions, wherein the initial object queries are associated with a specific vectorized HD map element; refining, by a transformer decoder, the initial object queries based on the feature maps to generate refined object queries; and generating predictions for the vectorized HD map elements based on the refined object queries.",
  "title": "VECTORIZED HIGH DEFINITION (HD) MAP PREDICTION USING SEMANTIC MAPS"
}