{
  "$type": "site.standard.document",
  "description": "Systems and methods of the present disclosure enable machine learning-based refinement of trajectory predictions using a processor to determine a future trajectory associated with an object state using an iterative physics algorithm. The processor utilizes a trajectory error prediction machine…",
  "path": "/patents/1311597",
  "publishedAt": "2022-02-24T00:00:00.000Z",
  "site": "at://did:plc:oql6ds5vnff4ugar6rruliwd/site.standard.publication/3mn3ohu7oxx5w",
  "tags": [
    "G08B5/22",
    "Rutgers, The State University of New Jersey"
  ],
  "textContent": "Systems and methods of the present disclosure enable machine learning-based refinement of trajectory predictions using a processor to determine a future trajectory associated with an object state using an iterative physics algorithm. The processor utilizes a trajectory error prediction machine learning model to predict a trajectory error for the future trajectory determined for the object state. The processor determines a pseudo-measurement representative of the trajectory error based at least in part on the trajectory error for the future trajectory and determines a pseudo-measurement noise based at least in part on the pseudo-measurement. The processor determines an updated future trajectory for the future trajectory based on the pseudo-measurement and the pseudo-measurement noise of the trajectory error for the future trajectory, and causes to display a trajectory notification associated with future trajectory on a screen of a user computing device associated with a user.",
  "title": "COMPUTER-BASED SYSTEMS CONFIGURED FOR SPACE OBJECT ORBITAL TRAJECTORY PREDICTIONS AND METHODS THEREOF"
}