{
  "$type": "site.standard.document",
  "description": "The present disclosure relates to a computer-implemented method for training of a machine-learning model in vehicle driver behavior assessment for a two-wheeled or a three-wheeled vehicle (1). The method comprises preparing (S100) training data, where preparing (S100) training data comprises…",
  "path": "/patents/1427024",
  "publishedAt": "2026-06-24T00:00:00.000Z",
  "site": "at://did:plc:oql6ds5vnff4ugar6rruliwd/site.standard.publication/3mn3ohu7oxx5w",
  "tags": [
    "B60W40/09",
    "AUTOLIV DEV [SE]"
  ],
  "textContent": "The present disclosure relates to a computer-implemented method for training of a machine-learning model in vehicle driver behavior assessment for a two-wheeled or a three-wheeled vehicle (1). The method comprises preparing (S100) training data, where preparing (S100) training data comprises obtaining and automatically collecting (S110) a plurality of sets of sensor data using at least two different sensors (2, 3, 4, 5) at different sensor positions including at least one sensor position at a vehicle driver (8), each set of sensor data being collected during a corresponding time period, the method further comprises training (S200) the machine-learning model using the prepared training data, which in turn comprises associating (S210) each set of sensor data with a certain predetermined vehicle driver behavior by comparing sensor data from the sensors (2, 3, 4, 5), and determining relative motions.",
  "title": "A COMPUTER-IMPLEMENTED METHOD FOR TRAINING OF A MACHINE-LEARNNG MODEL IN VEHICLE DRIVER BEHAVIOR ASSESSMENT FOR A TWO-WHEELED OR A THREE-WHEELED VEHICLE"
}