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公开(公告)号:US20220415042A1
公开(公告)日:2022-12-29
申请号:US17901224
申请日:2022-09-01
Applicant: Google LLC
Inventor: Jonathon Shlens , Vijay Vasudevan , Jiquan Ngiam , Wei Han , Zhifeng Chen , Brandon Chauloon Yang , Benjamin James Caine , Zhengdong Zhang , Christoph Sprunk , Ouais Alsharif , Junhua Mao , Chen Wu
Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for processing data generated by a sensing system that rotationally senses an environment. In one aspect, a method comprises partitioning a predetermined period of time into a plurality of sub-periods, wherein the predetermined period of time is a period of time for which data generated by the sensing system constitutes a complete rotational sensing of the environment; for each sub-period: receiving current data generated by the sensing system during the sub-period and characterizing a respective partial scene of the environment; processing the current data using an object detection neural network to generate a current object detection output that is specific to the respective partial scene of the environment.
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公开(公告)号:US11774596B2
公开(公告)日:2023-10-03
申请号:US17901224
申请日:2022-09-01
Applicant: Google LLC
Inventor: Jonathon Shlens , Vijay Vasudevan , Jiquan Ngiam , Wei Han , Zhifeng Chen , Brandon Chauloon Yang , Benjamin James Caine , Zhengdong Zhang , Christoph Sprunk , Ouais Alsharif , Junhua Mao , Chen Wu
Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for processing data generated by a sensing system that rotationally senses an environment. In one aspect, a method comprises partitioning a predetermined period of time into a plurality of sub-periods, wherein the predetermined period of time is a period of time for which data generated by the sensing system constitutes a complete rotational sensing of the environment; for each sub-period: receiving current data generated by the sensing system during the sub-period and characterizing a respective partial scene of the environment; processing the current data using an object detection neural network to generate a current object detection output that is specific to the respective partial scene of the environment.
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公开(公告)号:US20210279465A1
公开(公告)日:2021-09-09
申请号:US16812154
申请日:2020-03-06
Applicant: Google LLC
Inventor: Jonathon Shlens , Vijay Vasudevan , Jiquan Ngiam , Wei Han , Zhifeng Chen , Brandon Chauloon Yang , Benjamin James Caine , Zhengdong Zhang , Christoph Sprunk , Ouais Alsharif , Junhua Mao , Chen Wu
Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for processing data generated by a sensing system that rotationally senses an environment. In one aspect, a method comprises partitioning a predetermined period of time into a plurality of sub-periods, wherein the predetermined period of time is a period of time for which data generated by the sensing system constitutes a complete rotational sensing of the environment; for each sub-period: receiving current data generated by the sensing system during the sub-period and characterizing a respective partial scene of the environment; processing the current data using an object detection neural network to generate a current object detection output that is specific to the respective partial scene of the environment.
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公开(公告)号:US11508147B2
公开(公告)日:2022-11-22
申请号:US16812154
申请日:2020-03-06
Applicant: Google LLC
Inventor: Jonathon Shlens , Vijay Vasudevan , Jiquan Ngiam , Wei Han , Zhifeng Chen , Brandon Chauloon Yang , Benjamin James Caine , Zhengdong Zhang , Christoph Sprunk , Ouais Alsharif , Junhua Mao , Chen Wu
Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for processing data generated by a sensing system that rotationally senses an environment. In one aspect, a method comprises partitioning a predetermined period of time into a plurality of sub-periods, wherein the predetermined period of time is a period of time for which data generated by the sensing system constitutes a complete rotational sensing of the environment; for each sub-period: receiving current data generated by the sensing system during the sub-period and characterizing a respective partial scene of the environment; processing the current data using an object detection neural network to generate a current object detection output that is specific to the respective partial scene of the environment.
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