{
  "$type": "site.standard.document",
  "description": "A Bird's Eye View (BEV)-based object detection framework for autonomous vehicles. The disclosed embodiments pretrain a diffusion model system on BEV representations generated from sensor data, such as cameras, LiDARs, and radars. The pretrained diffusion model system may be integrated into the BEV…",
  "path": "/patents/1381819",
  "publishedAt": "2026-04-30T00:00:00.000Z",
  "site": "at://did:plc:oql6ds5vnff4ugar6rruliwd/site.standard.publication/3mn3ohu7oxx5w",
  "tags": [
    "G06V20/56",
    "Robert Bosch GmbH"
  ],
  "textContent": "A Bird's Eye View (BEV)-based object detection framework for autonomous vehicles. The disclosed embodiments pretrain a diffusion model system on BEV representations generated from sensor data, such as cameras, LiDARs, and radars. The pretrained diffusion model system may be integrated into the BEV generation network to denoise BEV features through a supervision loss mechanism during training. This approach enhances the quality of BEV representations used in downstream tasks, such as object detection and trajectory prediction, without introducing any incremental computational cost during run-time.",
  "title": "SYSTEMS AND METHODS FOR ENHANCING BIRD'S EYE VIEW REPRESENTATIONS WITH DIFFUSION MODEL SYSTEMS"
}