Patents by Inventor Christoph Sprunk
Christoph Sprunk has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Patent number: 11915490Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for the generation and use of a surfel map with semantic labels. One of the methods includes receiving a surfel map that includes a plurality of surfels, wherein each surfel has associated data that includes one or more semantic labels; obtaining sensor data for one or more locations in the environment, the sensor data having been captured by one or more sensors of a first vehicle; determining one or more surfels corresponding to the one or more locations of the obtained sensor data; identifying one or more semantic labels for the one or more surfels corresponding to the one or more locations of the obtained sensor data; and performing, for each surfel corresponding to the one or more locations of the obtained sensor data, a label-specific detection process for the surfel.Type: GrantFiled: August 15, 2022Date of Patent: February 27, 2024Assignee: Waymo LLCInventors: Dragomir Anguelov, Colin Andrew Braley, Christoph Sprunk
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Patent number: 11774596Abstract: 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.Type: GrantFiled: September 1, 2022Date of Patent: October 3, 2023Assignee: Google LLCInventors: 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
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Publication number: 20230076479Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for the generation and use of a surfel map with semantic labels. One of the methods includes receiving a surfel map that includes a plurality of surfels, wherein each surfel has associated data that includes one or more semantic labels; obtaining sensor data for one or more locations in the environment, the sensor data having been captured by one or more sensors of a first vehicle; determining one or more surfels corresponding to the one or more locations of the obtained sensor data; identifying one or more semantic labels for the one or more surfels corresponding to the one or more locations of the obtained sensor data; and performing, for each surfel corresponding to the one or more locations of the obtained sensor data, a label-specific detection process for the surfel.Type: ApplicationFiled: August 15, 2022Publication date: March 9, 2023Inventors: Dragomir Anguelov, Colin Andrew Braley, Christoph Sprunk
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Publication number: 20220415042Abstract: 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.Type: ApplicationFiled: September 1, 2022Publication date: December 29, 2022Inventors: 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
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Patent number: 11508147Abstract: 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.Type: GrantFiled: March 6, 2020Date of Patent: November 22, 2022Assignee: Google LLCInventors: 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
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Patent number: 11417110Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for the generation and use of a surfel map with semantic labels. One of the methods includes receiving a surfel map that includes a plurality of surfels, wherein each surfel has associated data that includes one or more semantic labels; obtaining sensor data for one or more locations in the environment, the sensor data having been captured by one or more sensors of a first vehicle; determining one or more surfels corresponding to the one or more locations of the obtained sensor data; identifying one or more semantic labels for the one or more surfels corresponding to the one or more locations of the obtained sensor data; and performing, for each surfel corresponding to the one or more locations of the obtained sensor data, a label-specific detection process for the surfel.Type: GrantFiled: September 9, 2020Date of Patent: August 16, 2022Assignee: Waymo LLCInventors: Dragomir Anguelov, Colin Andrew Braley, Christoph Sprunk
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Publication number: 20220076030Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for the generation and use of a surfel map with semantic labels. One of the methods includes receiving a surfel map that includes a plurality of surfels, wherein each surfel has associated data that includes one or more semantic labels; obtaining sensor data for one or more locations in the environment, the sensor data having been captured by one or more sensors of a first vehicle; determining one or more surfels corresponding to the one or more locations of the obtained sensor data; identifying one or more semantic labels for the one or more surfels corresponding to the one or more locations of the obtained sensor data; and performing, for each surfel corresponding to the one or more locations of the obtained sensor data, a label-specific detection process for the surfel.Type: ApplicationFiled: September 9, 2020Publication date: March 10, 2022Inventors: Dragomir Anguelov, Colin Andrew Braley, Christoph Sprunk
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Publication number: 20220063662Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for autonomous driving with surfel maps. In some implementations, a three-dimensional representation of a real-world environment is obtained. Each of the surfels can correspond to a respective point of plurality of points in a three-dimensional space of the real-world environment. Input sensor data is received from multiple sensors installed on the autonomous vehicle. A pedestrian is detected from the input sensor data. A determination is made that the pedestrian is located behind a barrier. A driving plan is updated based on determining that the pedestrian is located behind a barrier.Type: ApplicationFiled: August 26, 2020Publication date: March 3, 2022Inventors: Christoph Sprunk, David Harrison Silver, Carlos Hernandez Esteban, Michael Montemerlo, Peter Pawlowski, David Yonchar Margines
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Publication number: 20210279465Abstract: 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.Type: ApplicationFiled: March 6, 2020Publication date: September 9, 2021Inventors: 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
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Patent number: 9145286Abstract: The invention relates to a method for operating an autonomous industrial truck (1), having the following method steps: determining, by means of a measuring apparatus (6) of the autonomous industrial truck (1), whether the industrial truck potentially hits at least one obstacle (7) on the basis of the present movement of said industrial truck (1), determining that point (14) of the industrial truck (1), and determining a maximum velocity for the present movement of the industrial truck (1) on the basis of the determined distance (d), with the result that the industrial truck reliably comes to a standstill in front of the obstacle (7) on the basis of possible braking of the industrial truck (1).Type: GrantFiled: March 14, 2011Date of Patent: September 29, 2015Assignee: KUKA Roboter GmbHInventors: Patrick Pfaff, Christoph Sprunk
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Publication number: 20130060415Abstract: The invention relates to a method for operating an autonomous industrial truck (1), having the following method steps: determining, by means of a measuring apparatus (6) of the autonomous industrial truck (1), whether the industrial truck potentially hits at least one obstacle (7) on the basis of the present movement of said industrial truck (1), determining that point (14) of the industrial truck (1), and determining a maximum velocity for the present movement of the industrial truck (1) on the basis of the determined distance (d), with the result that the industrial truck reliably comes to a standstill in front of the obstacle (7) on the basis of possible braking of the industrial truck (1).Type: ApplicationFiled: March 14, 2011Publication date: March 7, 2013Applicant: KUKA LABORATORIES GMBHInventors: Patrick Pfaff, Christoph Sprunk