Patents by Inventor Edward Stephen Walker
Edward Stephen Walker 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: 11861481Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for searching an autonomous vehicle sensor data repository. One of the methods includes maintaining a collection of sensor samples and, for each sensor sample, an embedding of the sensor sample; receiving a request specifying a query sensor sample, wherein the query sensor sample characterizes a query environment region; and identifying, from the collection of sensor samples, a plurality of relevant sensor samples that characterize similar environment regions to the query environment region, comprising: processing the query sensor sample through the embedding neural network to generate a query embedding; and identifying, from sensor samples in a subset of the sensor samples in the collection, a plurality of sensor samples that have embeddings that are closest to the query embedding.Type: GrantFiled: December 23, 2019Date of Patent: January 2, 2024Assignee: Waymo LLCInventors: Zijian Guo, Nichola Abdo, Junhua Mao, Congcong Li, Edward Stephen Walker, Jr.
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Patent number: 11732437Abstract: This description provides an autonomous or semi-autonomous excavation vehicle that is capable of navigating through a dig site and carrying out an excavation routine using a system of sensors physically mounted to the excavation vehicle. The sensors collects any one or more of spatial, imaging, measurement, and location data representing the status of the excavation vehicle and its surrounding environment. Based on the collected data, the excavation vehicle executes instructions to carry out an excavation routine. The excavation vehicle is also able to carry out numerous other tasks, such as checking the volume of excavated earth in an excavation tool, and helping prepare a digital terrain model of the site as part of a process for creating the excavation routine.Type: GrantFiled: July 27, 2022Date of Patent: August 22, 2023Assignee: BUILT ROBOTICS INC.Inventors: Noah Austen Ready-Campbell, Andrew Xiao Liang, Linus Page Chou, Edward Stephen Walker, Christian John Wawrzonek, Cyrus McMann Ready-Campbell
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Patent number: 11668070Abstract: This description provides an autonomous or semi-autonomous excavation vehicle that is capable of navigating through a dig site and carrying out an excavation routine using a system of sensors physically mounted to the excavation vehicle. The sensors collect any one or more of spatial, imaging, measurement, and location data representing the status of the excavation vehicle and its surrounding environment. Based on the collected data, the excavation vehicle executes instructions to carry out an excavation routine. The excavation vehicle is also able to carry out numerous other tasks, such as checking the volume of excavated earth in an excavation tool and helping prepare a digital terrain model of the site as part of a process for creating the excavation routine.Type: GrantFiled: December 29, 2020Date of Patent: June 6, 2023Assignee: BUILT ROBOTICS INC.Inventors: Noah Austen Ready-Campbell, Andrew Xiao Liang, Linus Page Chou, Edward Stephen Walker, Jr., Christian John Wawrzonek, Cyrus McMann Ready-Campbell
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Patent number: 11634883Abstract: This description provides an autonomous or semi-autonomous excavation vehicle that is capable of navigating through a dig site and carrying out an excavation routine using a system of sensors physically mounted to the excavation vehicle. The sensors collects any one or more of spatial, imaging, measurement, and location data representing the status of the excavation vehicle and its surrounding environment. Based on the collected data, the excavation vehicle executes instructions to carry out an excavation routine. The excavation vehicle is also able to carry out numerous other tasks, such as checking the volume of excavated earth in an excavation tool, and helping prepare a digital terrain model of the site as part of a process for creating the excavation routine.Type: GrantFiled: November 18, 2020Date of Patent: April 25, 2023Assignee: BUILT ROBOTICS INC.Inventors: Noah Austen Ready-Campbell, Andrew Xiao Liang, Linus Page Chou, Edward Stephen Walker, Christian John Wawrzonek, Cyrus McMann Ready-Campbell
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Publication number: 20230099920Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for training a classifier to detect open vehicle doors. One of the methods includes obtaining a plurality of initial training examples, each initial training example comprising (i) a sensor sample from a collection of sensor samples and (ii) data classifying the sensor sample as characterizing a vehicle that has an open door; generating a plurality of additional training examples, comprising, for each initial training example: identifying, from the collection of sensor samples, one or more additional sensor samples that were captured less than a threshold amount of time before the sensor sample in the initial training example was captured; and training the machine learning classifier on first training data that includes the initial training examples and the additional training examples to generate updated weights for the machine learning classifier.Type: ApplicationFiled: November 28, 2022Publication date: March 30, 2023Inventors: Junhua Mao, Lo Po Tsui, Congcong Li, Edward Stephen Walker, JR.
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Publication number: 20230072020Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for open vehicle doors prediction using a neural network model. One of the methods includes: obtaining sensor data (i) that includes a portion of a point cloud generated by a laser sensor of an autonomous vehicle and (ii) that characterizes a vehicle that is in a vicinity of the autonomous vehicle in an environment; and processing the sensor data using an open door prediction neural network to generate an open door prediction that predicts a likelihood score that the vehicle has an open door.Type: ApplicationFiled: September 8, 2022Publication date: March 9, 2023Inventors: Andre Liang Cornman, David Lee, Yang Song, Zijian Guo, Edward Stephen Walker, Jr., Yuanfang Wang, Zhengli Zhao, Hsu-kuang Chiu
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Patent number: 11514310Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for training a classifier to detect open vehicle doors. One of the methods includes obtaining a plurality of initial training examples, each initial training example comprising (i) a sensor sample from a collection of sensor samples and (ii) data classifying the sensor sample as characterizing a vehicle that has an open door; generating a plurality of additional training examples, comprising, for each initial training example: identifying, from the collection of sensor samples, one or more additional sensor samples that were captured less than a threshold amount of time before the sensor sample in the initial training example was captured; and training the machine learning classifier on first training data that includes the initial training examples and the additional training examples to generate updated weights for the machine learning classifier.Type: GrantFiled: December 21, 2018Date of Patent: November 29, 2022Assignee: Waymo LLCInventors: Junhua Mao, Lo Po Tsui, Congcong Li, Edward Stephen Walker, Jr.
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Publication number: 20220364321Abstract: This description provides an autonomous or semi-autonomous excavation vehicle that is capable of navigating through a dig site and carrying out an excavation routine using a system of sensors physically mounted to the excavation vehicle. The sensors collects any one or more of spatial, imaging, measurement, and location data representing the status of the excavation vehicle and its surrounding environment. Based on the collected data, the excavation vehicle executes instructions to carry out an excavation routine. The excavation vehicle is also able to carry out numerous other tasks, such as checking the volume of excavated earth in an excavation tool, and helping prepare a digital terrain model of the site as part of a process for creating the excavation routine.Type: ApplicationFiled: July 27, 2022Publication date: November 17, 2022Inventors: Noah Austen Ready-Campbell, Andrew Xiao Liang, Linus Page Chou, Edward Stephen Walker, Christian John Wawrzonek, Cyrus McMann Ready-Campbell
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Publication number: 20220366263Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for training a student machine learning model using a teacher machine learning model that has a pre-trained feature extractor.Type: ApplicationFiled: May 6, 2021Publication date: November 17, 2022Inventors: Ming Ji, Edward Stephen Walker, JR., Yang Song, Zijian Guo, Congcong Li
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Patent number: 11441291Abstract: This description provides an autonomous or semi-autonomous excavation vehicle that is capable of navigating through a dig site and carrying out an excavation routine using a system of sensors physically mounted to the excavation vehicle. The sensors collects any one or more of spatial, imaging, measurement, and location data representing the status of the excavation vehicle and its surrounding environment. Based on the collected data, the excavation vehicle executes instructions to carry out an excavation routine. The excavation vehicle is also able to carry out numerous other tasks, such as checking the volume of excavated earth in an excavation tool, and helping prepare a digital terrain model of the site as part of a process for creating the excavation routine.Type: GrantFiled: April 10, 2020Date of Patent: September 13, 2022Assignee: BUILT ROBOTICS INC.Inventors: Noah Austen Ready-Campbell, Andrew Xiao Liang, Linus Page Chou, Edward Stephen Walker, Jr., Christian John Wawrzonek, Cyrus McMann Ready-Campbell
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Patent number: 11111647Abstract: This description provides an autonomous or semi-autonomous excavation vehicle that is capable of navigating through a dig site and carrying out an excavation routine using a system of sensors physically mounted to the excavation vehicle. The sensors collects any one or more of spatial, imaging, measurement, and location data representing the status of the excavation vehicle and its surrounding environment. Based on the collected data, the excavation vehicle executes instructions to carry out an excavation routine. The excavation vehicle is also able to carry out numerous other tasks, such as checking the volume of excavated earth in an excavation tool, and helping prepare a digital terrain model of the site as part of a process for creating the excavation routine.Type: GrantFiled: November 4, 2019Date of Patent: September 7, 2021Assignee: Built Robotics Inc.Inventors: Noah Austen Ready-Campbell, Andrew Xiao Liang, Linus Page Chou, Edward Stephen Walker, Jr., Christian John Wawrzonek, Cyrus McMann Ready-Campbell
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Publication number: 20210240199Abstract: This description provides an autonomous or semi-autonomous excavation vehicle that is capable of navigating through a dig site and carrying out an excavation routine using a system of sensors physically mounted to the excavation vehicle. The sensors collects any one or more of spatial, imaging, measurement, and location data representing the status of the excavation vehicle and its surrounding environment. Based on the collected data, the excavation vehicle executes instructions to carry out an excavation routine. The excavation vehicle is also able to carry out numerous other tasks, such as checking the volume of excavated earth in an excavation tool, and helping prepare a digital terrain model of the site as part of a process for creating the excavation routine.Type: ApplicationFiled: April 20, 2021Publication date: August 5, 2021Inventors: Noah Austen Ready-Campbell, Andrew Xiao Liang, Linus Page Chou, Edward Stephen Walker, JR., Christian John Wawrzonek, Cyrus McMann Ready-Campbell
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Patent number: 11072906Abstract: This description provides an autonomous or semi-autonomous excavation vehicle that is capable of navigating through a dig site and carrying out an excavation routine using a system of sensors physically mounted to the excavation vehicle. The sensors collect any one or more of spatial, imaging, measurement, and location data representing the status of the excavation vehicle and its surrounding environment. Based on the collected data, the excavation vehicle executes instructions to carry out an excavation routine. The excavation vehicle is also able to carry out numerous other tasks, such as checking the volume of excavated earth in an excavation tool, and helping prepare a digital terrain model of the site as part of a process for creating the excavation routine.Type: GrantFiled: November 4, 2019Date of Patent: July 27, 2021Assignee: Built Robotics Inc.Inventors: Noah Austen Ready-Campbell, Andrew Xiao Liang, Linus Page Chou, Edward Stephen Walker, Jr., Christian John Wawrzonek, Cyrus McMann Ready-Campbell
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Patent number: 11028554Abstract: This description provides an autonomous or semi-autonomous excavation vehicle that is capable of navigating through a dig site and carrying out an excavation routine using a system of sensors physically mounted to the excavation vehicle. The sensors collects any one or more of spatial, imaging, measurement, and location data representing the status of the excavation vehicle and its surrounding environment. Based on the collected data, the excavation vehicle executes instructions to carry out an excavation routine. The excavation vehicle is also able to carry out numerous other tasks, such as checking the volume of excavated earth in an excavation tool, and helping prepare a digital terrain model of the site as part of a process for creating the excavation routine.Type: GrantFiled: August 4, 2020Date of Patent: June 8, 2021Assignee: Built Robotics Inc.Inventors: Noah Austen Ready-Campbell, Andrew Xiao Liang, Linus Page Chou, Edward Stephen Walker, Jr., Christian John Wawrzonek, Cyrus McMann Ready-Campbell
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Patent number: 11016501Abstract: This description provides an autonomous or semi-autonomous excavation vehicle that is capable of navigating through a dig site and carrying out an excavation routine using a system of sensors physically mounted to the excavation vehicle. The sensors collects any one or more of spatial, imaging, measurement, and location data representing the status of the excavation vehicle and its surrounding environment. Based on the collected data, the excavation vehicle executes instructions to carry out an excavation routine. The excavation vehicle is also able to carry out numerous other tasks, such as checking the volume of excavated earth in an excavation tool, and helping prepare a digital terrain model of the site as part of a process for creating the excavation routine.Type: GrantFiled: January 22, 2018Date of Patent: May 25, 2021Assignee: Built Robotics Inc.Inventors: Noah Austen Ready-Campbell, Andrew Xiao Liang, Linus Page Chou, Edward Stephen Walker, Jr., Christian John Wawrzonek, Cyrus McMann Ready-Campbell
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Publication number: 20210115644Abstract: This description provides an autonomous or semi-autonomous excavation vehicle that is capable of navigating through a dig site and carrying out an excavation routine using a system of sensors physically mounted to the excavation vehicle. The sensors collect any one or more of spatial, imaging, measurement, and location data representing the status of the excavation vehicle and its surrounding environment. Based on the collected data, the excavation vehicle executes instructions to carry out an excavation routine. The excavation vehicle is also able to carry out numerous other tasks, such as checking the volume of excavated earth in an excavation tool and helping prepare a digital terrain model of the site as part of a process for creating the excavation routine.Type: ApplicationFiled: December 29, 2020Publication date: April 22, 2021Inventors: NOAH AUSTEN READY-CAMPBELL, ANDREW XIAO LIANG, LINUS PAGE CHOU, EDWARD STEPHEN WALKER, JR., CHRISTIAN JOHN WAWRZONEK, CYRUS MCMANN READY-CAMPBELL
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Patent number: 10982408Abstract: This description provides an autonomous or semi-autonomous excavation vehicle that is capable of navigating through a dig site and carrying out an excavation routine using a system of sensors physically mounted to the excavation vehicle. The sensors collects any one or more of spatial, imaging, measurement, and location data representing the status of the excavation vehicle and its surrounding environment. Based on the collected data, the excavation vehicle executes instructions to carry out an excavation routine. The excavation vehicle is also able to carry out numerous other tasks, such as checking the volume of excavated earth in an excavation tool, and helping prepare a digital terrain model of the site as part of a process for creating the excavation routine.Type: GrantFiled: October 26, 2020Date of Patent: April 20, 2021Assignee: Built Robotics Inc.Inventors: Noah Austen Ready-Campbell, Andrew Xiao Liang, Linus Page Chou, Edward Stephen Walker, Jr., Christian John Wawrzonek, Cyrus Mcmann Ready-Campbell
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Publication number: 20210071385Abstract: This description provides an autonomous or semi-autonomous excavation vehicle that is capable of navigating through a dig site and carrying out an excavation routine using a system of sensors physically mounted to the excavation vehicle. The sensors collects any one or more of spatial, imaging, measurement, and location data representing the status of the excavation vehicle and its surrounding environment. Based on the collected data, the excavation vehicle executes instructions to carry out an excavation routine. The excavation vehicle is also able to carry out numerous other tasks, such as checking the volume of excavated earth in an excavation tool, and helping prepare a digital terrain model of the site as part of a process for creating the excavation routine.Type: ApplicationFiled: November 18, 2020Publication date: March 11, 2021Inventors: Noah Austen Ready-Campbell, Andrew Xiao Liang, Linus Page Chou, Edward Stephen Walker, JR., Christian John Wawrzonek, Cyrus McMann Ready-Campbell
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Patent number: 10920395Abstract: This description provides an autonomous or semi-autonomous excavation vehicle that is capable of navigating through a dig site and carrying out an excavation routine using a system of sensors physically mounted to the excavation vehicle. The sensors collect any one or more of spatial, imaging, measurement, and location data representing the status of the excavation vehicle and its surrounding environment. Based on the collected data, the excavation vehicle executes instructions to carry out an excavation routine. The excavation vehicle is also able to carry out numerous other tasks, such as checking the volume of excavated earth in an excavation tool and helping prepare a digital terrain model of the site as part of a process for creating the excavation routine.Type: GrantFiled: October 8, 2020Date of Patent: February 16, 2021Assignee: Built Robotics Inc.Inventors: Noah Austen Ready-Campbell, Andrew Xiao Liang, Linus Page Chou, Edward Stephen Walker, Jr., Christian John Wawrzonek, Cyrus McMann Ready-Campbell
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Publication number: 20210040706Abstract: This description provides an autonomous or semi-autonomous excavation vehicle that is capable of navigating through a dig site and carrying out an excavation routine using a system of sensors physically mounted to the excavation vehicle. The sensors collects any one or more of spatial, imaging, measurement, and location data representing the status of the excavation vehicle and its surrounding environment. Based on the collected data, the excavation vehicle executes instructions to carry out an excavation routine. The excavation vehicle is also able to carry out numerous other tasks, such as checking the volume of excavated earth in an excavation tool, and helping prepare a digital terrain model of the site as part of a process for creating the excavation routine.Type: ApplicationFiled: October 26, 2020Publication date: February 11, 2021Inventors: Noah Austen Ready-Campbell, Andrew Xiao Liang, Linus Page Chou, Edward Stephen Walker, JR., Christian John Wawrzonek, Cyrus McMann Ready-Campbell