{
  "$type": "site.standard.document",
  "description": "The present disclosure relates to a computer-implemented method for training of a machine-learning model in vehicle safety action assessment for a vehicle (1) adapted to travel in a forward movement direction (D). The method comprises preparing (S100) training data, which in turn comprises…",
  "path": "/patents/1426949",
  "publishedAt": "2026-06-24T00:00:00.000Z",
  "site": "at://did:plc:oql6ds5vnff4ugar6rruliwd/site.standard.publication/3mn3ohu7oxx5w",
  "tags": [
    "B60R21/0134",
    "AUTOLIV DEV [SE]"
  ],
  "textContent": "The present disclosure relates to a computer-implemented method for training of a machine-learning model in vehicle safety action assessment for a vehicle (1) adapted to travel in a forward movement direction (D). The method comprises preparing (S100) training data, which in turn comprises obtaining (S110) sets of sensor data used for determining movement data (120, 122, 130) for a vehicle driver (8) and optionally also for the vehicle (1). The method further comprises training (S200) the machine-learning model using the prepared training data by associating (S210) each set of sensor data with a safety action among a plurality of safety actions. The associating (S210) comprises setting (S211) a threshold level (T1, T2, T3) for each determined movement data (120, 122, 130), where each threshold level (T1, T2, T3) corresponds to a certain safety action.",
  "title": "COMPUTER-IMPLEMENTED METHOD FOR TRAINING OF A MACHINE-LEARNING MODEL IN VEHICLE SAFETY ACTION ASSESSMENT FOR A TWO-WHEELED OR A THREE-WHEELED VEHICLE"
}