{
  "$type": "site.standard.document",
  "description": "In various examples, probabilistic-based techniques may be used to predict intended paths of machines through an environment. For instance, various input data from perception systems, localization systems, mapping systems, and/or other sources of data may be used to determine occupant intent and…",
  "path": "/patents/1378778",
  "publishedAt": "2026-02-26T00:00:00.000Z",
  "site": "at://did:plc:oql6ds5vnff4ugar6rruliwd/site.standard.publication/3mn3ohu7oxx5w",
  "tags": [
    "B60W50/0097",
    "NVIDIA Corporation"
  ],
  "textContent": "In various examples, probabilistic-based techniques may be used to predict intended paths of machines through an environment. For instance, various input data from perception systems, localization systems, mapping systems, and/or other sources of data may be used to determine occupant intent and compute scores associated with road segments in an environment. The scores may indicate a probability that certain road segments are part of the occupant's intended path for the machine, and the scores may be aggregated for each of the road segments across multiple instances of receiving an analyzing the input data. In some instances, a highest scoring road segment(s) may be selected as part of a predicted path of the machine. For instance, at a junction(s) where multiple road segments meet, the highest scoring road segment(s) may be selected as the predicted path.",
  "title": "PATH PREDICTION FOR AUTONOMOUS OR SEMI-AUTONOMOUS SYSTEMS AND APPLICATIONS"
}