{
  "$type": "site.standard.document",
  "description": "Systems, methods, and other embodiments described herein relate to a learning model predicting event and behavior probabilities for an unexpected hazard using sensor data and a location profile along a planned path involving a vehicle. In one embodiment, a method includes acquiring sensor data and…",
  "path": "/patents/1389465",
  "publishedAt": "2026-06-11T00:00:00.000Z",
  "site": "at://did:plc:oql6ds5vnff4ugar6rruliwd/site.standard.publication/3mn3ohu7oxx5w",
  "tags": [
    "B60W60/0015",
    "Toyota Motor Engineering & Manufacturing North America, Inc."
  ],
  "textContent": "Systems, methods, and other embodiments described herein relate to a learning model predicting event and behavior probabilities for an unexpected hazard using sensor data and a location profile along a planned path involving a vehicle. In one embodiment, a method includes acquiring sensor data and a location profile about a hazard on a road by a vehicle. The method also includes predicting an event probability and a behavior probability by a learning model for the hazard using the sensor data and the location profile about an area. The method also includes adapting a trajectory of the vehicle by a planning model using the event probability and the behavior probability.",
  "title": "SYSTEMS AND METHODS FOR PREDICTING PROBABILITIES OF AN UNEXPECTED HAZARD DURING VEHICLE TRAVEL"
}