{
  "$type": "site.standard.document",
  "description": "Described are systems and methods for minimizing the effects of agent misbehaviors using an in-vehicle artificial intelligence system. In one example, the system includes a processor and a memory in communication with the processor. The memory includes instructions that cause the processor to…",
  "path": "/patents/1376118",
  "publishedAt": "2025-07-03T00:00:00.000Z",
  "site": "at://did:plc:oql6ds5vnff4ugar6rruliwd/site.standard.publication/3mn3ohu7oxx5w",
  "tags": [
    "B60W60/0015",
    "Toyota Jidosha Kabushiki Kaisha"
  ],
  "textContent": "Described are systems and methods for minimizing the effects of agent misbehaviors using an in-vehicle artificial intelligence system. In one example, the system includes a processor and a memory in communication with the processor. The memory includes instructions that cause the processor to receive an utterance input from an occupant of a vehicle describing a misbehavior by an agent that may be undetected by the active safety system of the vehicle. The instructions also cause the processor to determine one or more behavioral measurements of the occupant when the occupant was describing the misbehavior by the agent. In response to the utterance input, the behavioral measurement, and the likelihood that the misbehavior by the agent can occur at the location of the vehicle, the instructions can cause the vehicle to perform an emergency maneuver to minimize effects of the misbehavior by the agent on the vehicle.",
  "title": "IN-VEHICLE ARTIFICIAL INTELLIGENCE ASSISTANT FOR AGENT MISBEHAVIOR ACCIDENT PREVENTION AND RELATED METHOD"
}