{
  "$type": "site.standard.document",
  "description": "An example computing system may be configured to obtain sensor data associated with the vehicle and determine an estimated energy usage for performing a computation onboard the vehicle using the sensor data. The estimated energy usage is indicative of an estimated amount of energy from one or more…",
  "path": "/patents/1376340",
  "publishedAt": "2025-07-24T00:00:00.000Z",
  "site": "at://did:plc:oql6ds5vnff4ugar6rruliwd/site.standard.publication/3mn3ohu7oxx5w",
  "tags": [
    "B60W60/0023",
    "Mercedes-Benz Group AG"
  ],
  "textContent": "An example computing system may be configured to obtain sensor data associated with the vehicle and determine an estimated energy usage for performing a computation onboard the vehicle using the sensor data. The estimated energy usage is indicative of an estimated amount of energy from one or more batteries of the vehicle for performing the computation using the sensor data. The computing system can determine, based on the estimated energy usage, that performance of the computation using the sensor data is to be offloaded to a remote computing system that is remote from the vehicle. In response to determining that the computation using the sensor data is to be offloaded to the remote computing system, the computing system can generate a sensor data payload indicative of the sensor data and output, over a communication network, the sensor data payload to the remote computing system.",
  "title": "Cloud-Based Electric Vehicle Battery Optimization Systems and Methods"
}