首页|'Generating Complete Three-Dimensional Scene Geometries Using Machine Learning' in Patent Application Approval Process (USPTO 20240185523)
'Generating Complete Three-Dimensional Scene Geometries Using Machine Learning' in Patent Application Approval Process (USPTO 20240185523)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-A patent application by the inventors FIDLER, San ja (Toronto, CA); GOJCIC, Zan (Zurich, CH); KAR, Amlan (Toronto, CA); KREIS, Kar sten (Vancouver, CA); WILLIAMS, Francis (Brooklyn, NY, US); ZHANG, Dongsu (Seoul , KR), filed on June 22, 2023, was made available online on June 6, 2024, accord ing to news reporting originating from Washington, D.C., by NewsRx correspondent s. This patent application has not been assigned to a company or institution. The following quote was obtained by the news editors from the background informa tion supplied by the inventors: "An autonomous or semi-autonomous vehicle is typ ically equipped with cameras, depth sensors, and/or other sensors that are used to detect and understand the environment around the vehicle. Data collected by t he sensors is used by downstream components to make important decisions related to stopping the vehicle, starting the vehicle, controlling the speed of the vehi cle, determining a path to be taken by the vehicle, disengaging an autonomous dr iving mode on the vehicle, and/or otherwise operating the vehicle. Consequently, creating diverse and realistic three-dimensional (3D) environments is critical for conducting simulations that are used to develop, test, or verify the operati on of an autonomous or semi-autonomous vehicle.
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