{
  "$type": "site.standard.document",
  "description": "A method for training a machine learning algorithm for predicting an intent parameter of an object in proximity to a self-driving vehicle on a terrain are provided. The method includes generating a training dataset having assessor-less labels, based on data collected by a training vehicle. The data…",
  "path": "/patents/1332993",
  "publishedAt": "2022-12-08T00:00:00.000Z",
  "site": "at://did:plc:oql6ds5vnff4ugar6rruliwd/site.standard.publication/3mn3ohu7oxx5w",
  "tags": [
    "B60W60/00276",
    "YANDEX SELF DRIVING GROUP LLC"
  ],
  "textContent": "A method for training a machine learning algorithm for predicting an intent parameter of an object in proximity to a self-driving vehicle on a terrain are provided. The method includes generating a training dataset having assessor-less labels, based on data collected by a training vehicle. The data collected by the training vehicle include data on the state of the training vehicle, the state of a training object, and a training terrain at a target moment in time and at a time after the target moment in time. The training data is based, at least in part, on the data for the target moment in time, and the assessor-less label is based, at least in part, on the data for a time after the target moment in time. A method for operating a self-driving vehicle and a self-driving vehicle are also disclosed.",
  "title": "METHOD FOR TRAINING A MACHINE LEARNING ALGORITHM FOR PREDICTING AN INTENT PARAMETER FOR AN OBJECT ON A TERRAIN"
}