{
  "$type": "site.standard.document",
  "coverImage": {
    "$type": "blob",
    "ref": {
      "$link": "bafkreidbstnepgfjm4nm36sooizrfacuwd4ymvrln2w2nhhe2vnbhv3sty"
    },
    "mimeType": "image/png",
    "size": 109978
  },
  "description": "Described herein is a method of determining a current location speed-limit in a road-vehicle () speed-limit information system (). One or more signals () corresponding to respective candidate speed-limits for the current location are received. A parametrized heuristic algorithm with an associated…",
  "path": "/patents/1284951",
  "publishedAt": "2021-03-04T00:00:00.000Z",
  "site": "at://did:plc:oql6ds5vnff4ugar6rruliwd/site.standard.publication/3mn3ohu7oxx5w",
  "tags": [
    "G06N20/00",
    "Zenuity AB"
  ],
  "textContent": "Described herein is a method of determining a current location speed-limit in a road-vehicle () speed-limit information system (). One or more signals () corresponding to respective candidate speed-limits for the current location are received. A parametrized heuristic algorithm with an associated cost function is applied () to decide which candidate speed-limit (), if any, that is applicable. If available for the current location, a cloud service () supplied estimated true speed-limit () and an associated confidence in this estimate is received. An online learning or a reinforcement learning method is used to, based on the cloud service () supplied estimated true speed-limit () and the associated confidence in that estimate, constantly fit () the heuristic's parametrization to, with a high confidence, reproduce the cloud service () supplied estimated true speed-limit (). A speed-limit information signal () corresponding to the decision of the parametrized heuristic algorithm is output.",
  "title": "METHOD AND ARRANGEMENT FOR DETERMINING A CURRENT LOCATION SPEED-LIMIT IN A ROAD-VEHICLE"
}