{
  "$type": "site.standard.document",
  "description": "Systems and methods are provided for uncertainty based contingency model predictive control of a vehicle in uncertain road conditions. Applications may be found for collision imminent steering, on-road autonomous vehicles and real time decision-making influenced by an unknown environment. An…",
  "path": "/patents/1307949",
  "publishedAt": "2022-01-06T00:00:00.000Z",
  "site": "at://did:plc:oql6ds5vnff4ugar6rruliwd/site.standard.publication/3mn3ohu7oxx5w",
  "tags": [
    "B60W30/09",
    "THE REGENTS OF THE UNIVERSITY OF MICHIGAN"
  ],
  "textContent": "Systems and methods are provided for uncertainty based contingency model predictive control of a vehicle in uncertain road conditions. Applications may be found for collision imminent steering, on-road autonomous vehicles and real time decision-making influenced by an unknown environment. An uncertainty road coefficient of friction may be estimated using an Unscented Kalman filter, and the controller may be updated based upon the estimated uncertainties to provide for collision avoidance in unknown conditions.",
  "title": "Contingent Model Predictive Control Incorporating Online Estimation of Nominal and Uncertain Parameters"
}