首页|Patent Application Titled 'Machine-Learned Monocular Depth Es- timation and Semantic Segmentation for 6-DOF Absolute Localiza- tion of a Delivery Drone' Published Online (USPTO 20240020876)
Patent Application Titled 'Machine-Learned Monocular Depth Es- timation and Semantic Segmentation for 6-DOF Absolute Localiza- tion of a Delivery Drone' Published Online (USPTO 20240020876)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
2024 FEB 02 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – According to news reporting originating from Washington, D.C., by NewsRx journalists, a patent application by the inventor Shoeb, Ali (San Rafael, CA, US), filed on July 18, 2022, was made available online on January 18, 2024. No assignee for this patent application has been made. Reporters obtained the following quote from the background information supplied by the inventors: “An unmanned vehicle, which may also be referred to as an autonomous vehicle, is a vehicle capable of travel without a physically-present human operator. An unmanned vehicle may operate in a remote-control mode, in an autonomous mode, or in a partially autonomous mode.
NETL
NSTL
