{
  "$type": "site.standard.document",
  "description": "An apparatus and method for determining driving risks of a driver using deep learning algorithms and a vehicle including the same are provided. The apparatus comprises a processor, a network interface, a memory, and a computer program loaded to the memory and executed by the processor, wherein the…",
  "path": "/patents/1407489",
  "publishedAt": "2026-06-16T00:00:00.000Z",
  "site": "at://did:plc:oql6ds5vnff4ugar6rruliwd/site.standard.publication/3mn3ohu7oxx5w",
  "tags": [
    "G06V20/58",
    "HL KLEMOVE CORP."
  ],
  "textContent": "An apparatus and method for determining driving risks of a driver using deep learning algorithms and a vehicle including the same are provided. The apparatus comprises a processor, a network interface, a memory, and a computer program loaded to the memory and executed by the processor, wherein the processor is configured to receive image data and CAN data obtained by a vehicle equipped with a lidar sensor or a camera sensor while the vehicle is driving, input the obtained image data and CAN data to a first deep learning algorithm trained through pre-stored image data to output image features related to driving risks of a driver driving the vehicle, output image features related to the driver's driving risk by the first deep learning algorithm, and capture a first image corresponding to the output image features and transmit the captured first image to a connect program.",
  "title": "Method and apparatus for determining driving risks by using deep learning algorithms"
}