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

IPC: G01S17/89 ,  G06T17/00 ,  G06V20/10 ,  G06N3/048 ,  G06V10/764 ,  G06V20/56

CPC classification number: G01S17/89 ,  G06N3/048 ,  G06T17/00 ,  G06V10/764 ,  G06V20/10 ,  G06V20/56

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.

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

IPC: G06V20/10 ,  G06T17/00 ,  G01S17/89 ,  G06N3/04

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.

公开(公告)号：US20220129740A1

公开(公告)日：2022-04-28

申请号：US17425283

申请日：2020-01-23

Applicant: Google LLC

Inventor： Brandon Chauloon Yang ,  Quoc V. Le ,  Jiquan Ngiam ,  Gabriel Mintzer Bender

IPC: G06N3/063

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for processing inputs using neural networks that include one or more conditional convolutional layers. A conditional convolutional layer has a plurality of kernels and determines a respective input-dependent weight for each of the plurality of kernels and generates an input-dependent kernel by computing a weighted sum of the plurality of kernels in accordance with the respective input-dependent weights.

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

IPC: G06K9/00 ,  G06N3/04 ,  G01S17/89 ,  G06T17/00

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.

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

IPC: G06V20/10 ,  G06T17/00 ,  G01S17/89 ,  G06N3/04

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.