Robotics & Machine Learning Daily News2024,Issue(Feb.12) :145-150.

Researchers Submit Patent Application, 'Efficient Localization Based On Multiple Feature Types', for Approval (USPTO 20240029301)

Robotics & Machine Learning Daily News2024,Issue(Feb.12) :145-150.

Researchers Submit Patent Application, 'Efficient Localization Based On Multiple Feature Types', for Approval (USPTO 20240029301)

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Abstract

From Washington, D.C., NewsRx journalists report that a patent application by the inventors Koppel, Daniel Esteban (San Jose, CA, US); Steinbruecker, Frank Thomas (Mountain View, CA, US); Swaminathan, Ashwin (Dublin, CA, US); Zhou, Lipu (Sunnyvale, CA, US), filed on July 17, 2023, was made available online on January 25, 2024. The patent's assignee is Magic Leap Inc. (Plantation, Florida, United States). News editors obtained the following quote from the background information supplied by the inventors: "Localization is performed in some machine vision systems to relate the location of a device, equipped with a camera to capture images of a 3D environment, to locations in a map of the 3D environment. A new image captured by the device may be matched to a portion of the map. A spatial transformation between the new image of the matching portion of the map may indicate the "pose" of the device with respect to the map.

Key words

Algorithms/Business/Emerging Technologies/Machine Learning/Machine Vision/Magic Leap Inc/Mathematics/Polynomial/Robot/Robotics/Robots

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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