{
  "$type": "site.standard.document",
  "description": "In various examples, an environment visualization pipeline may determine whether to generate or otherwise enable a visualization using an environmental modeling pipeline that models an environment as a 3D bowl or using an environmental modeling pipeline that models the environment using some other…",
  "path": "/patents/1376775",
  "publishedAt": "2025-09-18T00:00:00.000Z",
  "site": "at://did:plc:oql6ds5vnff4ugar6rruliwd/site.standard.publication/3mn3ohu7oxx5w",
  "tags": [
    "B60W50/14",
    "NVIDIA CORPORATION"
  ],
  "textContent": "In various examples, an environment visualization pipeline may determine whether to generate or otherwise enable a visualization using an environmental modeling pipeline that models an environment as a 3D bowl or using an environmental modeling pipeline that models the environment using some other 3D representation, such as a detected 3D surface topology. The determination may made based on various factors, such as ego-machine state, (e.g., one or more detected features indicative of a designated operational scenario, proximity to a detected object, speed of ego-machine, etc.), estimated image quality of a corresponding environment visualization, and/or other factors. Accordingly, an environment around an ego-machine, such as a vehicle, robot, and/or other type of object, may be visualized in systems such as parking visualization systems, Surround View Systems, and/or others.",
  "title": "DEEP-LEARNING BASED-ENVIRONMENTAL MODELING FOR VEHICLE ENVIRONMENT VISUALIZATION"
}