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公开(公告)号:US20240176419A1
公开(公告)日:2024-05-30
申请号:US18527953
申请日:2023-12-04
Applicant: GOOGLE LLC
Inventor: Qiyue Zhang , Luca Ballan , Hongsheng Yu , Fengtao Fan , Mahesh Ramachandran , Chao Guo
CPC classification number: G06F3/013 , G06T19/003 , G06T2207/20084
Abstract: Techniques of providing continual augmented reality navigation include combining first and second 6DoF poses from, respectively, a localization from a map in a vicinity of a location to an image and from predicted 6DoF poses based on IMU data. The first 6DoF pose is based on a visual positioning system that uses map data from a vicinity of a location combined with an image from the world-facing camera of the AR smartglasses that provides 6DoF pose in world coordinates independent of the IMU. The second 6DoF pose is based on compensated rotational velocity and acceleration measurements derived from IMU intrinsic values.
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公开(公告)号:US12248625B2
公开(公告)日:2025-03-11
申请号:US18527953
申请日:2023-12-04
Applicant: GOOGLE LLC
Inventor: Qiyue Zhang , Luca Ballan , Hongsheng Yu , Fengtao Fan , Mahesh Ramachandran , Chao Guo
Abstract: Techniques of providing continual augmented reality navigation include combining first and second 6DoF poses from, respectively, a localization from a map in a vicinity of a location to an image and from predicted 6DoF poses based on IMU data. The first 6DoF pose is based on a visual positioning system that uses map data from a vicinity of a location combined with an image from the world-facing camera of the AR smartglasses that provides 6DoF pose in world coordinates independent of the IMU. The second 6DoF pose is based on compensated rotational velocity and acceleration measurements derived from IMU intrinsic values.
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公开(公告)号:US11847259B1
公开(公告)日:2023-12-19
申请号:US18058573
申请日:2022-11-23
Applicant: GOOGLE LLC
Inventor: Qiyue Zhang , Luca Ballan , Hongsheng Yu , Fengtao Fan , Mahesh Ramachandran , Chao Guo
CPC classification number: G06F3/013 , G06T19/003 , G06T2207/20084
Abstract: Techniques of providing continual augmented reality navigation include combining first and second 6DoF poses from, respectively, a localization from a map in a vicinity of a location to an image and from predicted 6DoF poses based on IMU data.
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