{
  "$type": "site.standard.document",
  "description": "Method comprising:encoding a first 3D point cloud of a first coordinate system into a first encoded map comprising first feature center points and first feature vectors;encoding a second 3D point cloud of a second coordinate system into a second encoded map comprising second feature center points…",
  "path": "/patents/1388214",
  "publishedAt": "2026-02-25T00:00:00.000Z",
  "site": "at://did:plc:oql6ds5vnff4ugar6rruliwd/site.standard.publication/3mn3ohu7oxx5w",
  "tags": [
    "G01C21/20",
    "NOKIA SOLUTIONS & NETWORKS OY [FI]"
  ],
  "textContent": "Method comprising:encoding a first 3D point cloud of a first coordinate system into a first encoded map comprising first feature center points and first feature vectors;encoding a second 3D point cloud of a second coordinate system into a second encoded map comprising second feature center points and second feature vectors;adapting the first input feature vectors based on the first input feature vectors and the second input feature vectors, to obtain a first joint map;adapting the second input feature vectors based on the first input feature vectors and the second input feature vectors to obtain a second joint map;calculating similarities between the first joint feature vectors and the second joint feature vectors and point correlations based on the similarities;checking whether a correlation condition is fulfilled;extracting the coordinates of the first joint feature center points and the coordinates of the second joint feature center points if the correlation condition is fulfilled;calculating a transformation between the first coordinate system and the second coordinate system based on the pairs of extracted coordinates.",
  "title": "LOCALIZATION BY A NEURAL NETWORK"
}