{
  "$type": "site.standard.document",
  "coverImage": {
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  "description": "There is provided a multi-sensor-based knowledge distillation learning method. The method comprises determining a sensor data received from a plurality of sensors, and generating at least one piece of sensor data-based voxel feature information using the sensor data; performing view transformation…",
  "path": "/patents/1423366",
  "publishedAt": "2026-06-18T00:00:00.000Z",
  "site": "at://did:plc:oql6ds5vnff4ugar6rruliwd/site.standard.publication/3mn3ohu7oxx5w",
  "tags": [
    "G06V20/56",
    "Hyundai Motor Company"
  ],
  "textContent": "There is provided a multi-sensor-based knowledge distillation learning method. The method comprises determining a sensor data received from a plurality of sensors, and generating at least one piece of sensor data-based voxel feature information using the sensor data; performing view transformation on the at least one piece of sensor data-based voxel feature, and generating a first voxel BEV feature information using the view-transformed feature information; generating a second voxel BEV feature information using the at least one piece of sensor data-based voxel feature information; generating the first voxel BEV feature information and the second voxel BEV feature information to construct fused voxel BEV feature information; performing learning of an image view transformation model; and performing learning of an image BEV generation model that generates image BEV feature information corresponding to the view-transformed image feature information by using the fused voxel BEV feature information.",
  "title": "METHOD AND DEVICE FOR LEARNING KNOWLEDGE DISTILLATION BASED ON MULTI-SENSOR, METHOD AND DEVICE FOR INFERRING IMAGE BEV FEATURE INFORMATION, AND COMPUTER-READABLE STORAGE MEDIUM STORING INSTRUCTIONS FOR PERFORMING METHOD FOR LEARNING KNOWLEDGE DISTILLATION BASED ON MULTI-SENSOR"
}