{
  "$type": "site.standard.document",
  "description": "An example system for automated vehicle control requirements processing includes at least one processor configured to preprocess multiple data artifacts associated with vehicle control system requirements and including at least two different modalities, including reducing redundancy and resolving…",
  "path": "/patents/1426395",
  "publishedAt": "2026-06-25T00:00:00.000Z",
  "site": "at://did:plc:oql6ds5vnff4ugar6rruliwd/site.standard.publication/3mn3ohu7oxx5w",
  "tags": [
    "B60W50/14",
    "GM GLOBAL TECHNOLOGY OPERATIONS LLC"
  ],
  "textContent": "An example system for automated vehicle control requirements processing includes at least one processor configured to preprocess multiple data artifacts associated with vehicle control system requirements and including at least two different modalities, including reducing redundancy and resolving conflicts between the multiple data artifacts, determine a modality of each data artifact, create an embedding for each data artifact according to the modality of the data artifact, generate, as an output of at least one machine learning model, at least one of a message sequence chart, a finite state machine and a Gherkin use case, according to the embeddings of the multiple data artifacts, and build a unified requirements model according to the at least one of the message sequence chart, the finite state machine and the Gherkin use case, wherein the unified requirements model defines control requirements for at least one vehicle control feature.",
  "title": "AUTOMATED VEHICLE CONTROL REQUIREMENTS PROCESSING USING MACHINE LEARNING MODELS"
}