{
  "$type": "site.standard.document",
  "description": "A method for determining an object's position using different items of sensor information includes: a) reading the sensor information into a Kalman filter, b) merging the sensor information with the Kalman filter, with the Kalman filter supplying as a result estimated values for states and…",
  "path": "/patents/1326889",
  "publishedAt": "2022-09-15T00:00:00.000Z",
  "site": "at://did:plc:oql6ds5vnff4ugar6rruliwd/site.standard.publication/3mn3ohu7oxx5w",
  "tags": [
    "B60W50/06",
    "Robert Bosch GmbH"
  ],
  "textContent": "A method for determining an object's position using different items of sensor information includes: a) reading the sensor information into a Kalman filter, b) merging the sensor information with the Kalman filter, with the Kalman filter supplying as a result estimated values for states and information associated with the estimated values regarding the accuracy of the estimates, c) monitoring the results of the Kalman filter by estimating a probability of accuracy, with which the estimation error lies within an error band, with the probability of accuracy being determined on the basis of a plurality of conditional probabilities, the conditions for which each relate to estimation errors from at least one earlier series.",
  "title": "Method for Determining an Object's Position Using Different Items of Sensor Information"
}