Patents by Inventor Ethan Eade
Ethan Eade 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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Publication number: 20240094975Abstract: A computing device and method are provided for transmitting a relevant subset of map data, called a neighborhood, to enable mutual spatial understanding by multiple display devices around a target virtual location to display a shared hologram in the same exact location in the physical environment at the same moment in time. The computing device may comprise a processor, a memory operatively coupled to the processor, and an anchor transfer program stored in the memory and executed by the processor.Type: ApplicationFiled: November 29, 2023Publication date: March 21, 2024Applicant: Microsoft Technology Licensing, LLCInventors: Ethan EADE, Jeroen VANTURENNOUT, Jonathan LYONS, David FIELDS, Gavin Dean LAZAROW, Tushar Cyril BHATNAGAR
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Patent number: 11933902Abstract: Determining classification(s) for object(s) in an environment of autonomous vehicle, and controlling the vehicle based on the determined classification(s). For example, autonomous steering, acceleration, and/or deceleration of the vehicle can be controlled based on determined pose(s) and/or classification(s) for objects in the environment. The control can be based on the pose(s) and/or classification(s) directly, and/or based on movement parameter(s), for the object(s), determined based on the pose(s) and/or classification(s). In many implementations, pose(s) and/or classification(s) of environmental object(s) are determined based on data from a phase coherent Light Detection and Ranging (LIDAR) component of the vehicle, such as a phase coherent LIDAR monopulse component and/or a frequency-modulated continuous wave (FMCW) LIDAR component.Type: GrantFiled: December 30, 2022Date of Patent: March 19, 2024Assignee: AURORA OPERATIONS, INC.Inventors: Warren Smith, Ethan Eade, Sterling J. Anderson, James Andrew Bagnell, Bartholomeus C. Nabbe, Christopher Paul Urmson
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Patent number: 11926066Abstract: Apparatus and methods for carpet drift estimation are disclosed. In certain implementations, a robotic device includes an actuator system to move the body across a surface. A first set of sensors can sense an actuation characteristic of the actuator system. For example, the first set of sensors can include odometry sensors for sensing wheel rotations of the actuator system. A second set of sensors can sense a motion characteristic of the body. The first set of sensors may be a different type of sensor than the second set of sensors. A controller can estimate carpet drift based at least on the actuation characteristic sensed by the first set of sensors and the motion characteristic sensed by the second set of sensors.Type: GrantFiled: April 6, 2021Date of Patent: March 12, 2024Assignee: iRobot CorporationInventors: Dhiraj Goel, Ethan Eade, Philip Fong, Mario E. Munich
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Patent number: 11874660Abstract: An autonomous vehicle uses a secondary vehicle control system to supplement a primary vehicle control system to perform a controlled stop if an adverse event is detected in the primary vehicle control system. The secondary vehicle control system may use a redundant lateral velocity determined by a different sensor from that used by the primary vehicle control system to determine lateral velocity for use in controlling the autonomous vehicle to perform the controlled stop.Type: GrantFiled: June 3, 2022Date of Patent: January 16, 2024Assignee: AURORA OPERATIONS, INC.Inventors: Ethan Eade, Nathaniel Gist, IV, Thomas Pilarski
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Patent number: 11859994Abstract: Systems and methods for landmark-based localization of an autonomous vehicle (“AV”) are described herein. Implementations can generate a first predicted location of a landmark based on a pose instance of a pose of the AV and a stored location of the landmark, generate a second predicted location of the landmark relative to the AV based on an instance of LIDAR data, generate a correction instance based on the comparing, and use the correction instance in generating additional pose instance(s). Systems and methods for validating localization of a vehicle are also described herein. Implementations can obtain driving data from a past episode of locomotion of the vehicle, generate a pose-based predicted location of a landmark in an environment of the vehicle, and compare the pose-based predicted location to a stored location of the landmark in the environment of the vehicle to validate a pose instance of a pose of the vehicle.Type: GrantFiled: February 18, 2021Date of Patent: January 2, 2024Assignee: AURORA INNOVATION, INC.Inventors: Yekeun Jeong, Ethan Eade, Adam Richard Williams, Abhay Vardhan, Nicholas George Dilip Roy, James Andrew Bagnell
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Patent number: 11853639Abstract: A computing device and method are provided for transmitting a relevant subset of map data, called a neighborhood, to enable mutual spatial understanding by multiple display devices around a target virtual location to display a shared hologram in the same exact location in the physical environment at the same moment in time. The computing device may comprise a processor, a memory operatively coupled to the processor, and an anchor transfer program stored in the memory and executed by the processor.Type: GrantFiled: June 9, 2022Date of Patent: December 26, 2023Assignee: Microsoft Technology Licensing, LLCInventors: Ethan Eade, Jeroen Vanturennout, Jonathan Lyons, David Fields, Gavin Dean Lazarow, Tushar Cyril Bhatnagar
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Patent number: 11829143Abstract: One or more instances of sensor data collected using an autonomous vehicle sensor suite can be labeled using corresponding instance(s) of sensor data collected using an additional sensor suite. The additional vehicle can include a second autonomous vehicle as well as a non-autonomous vehicle mounted with a removable hardware pod. In many implementations, an object in the sensor data captured using the autonomous vehicle can be labeled by mapping a label corresponding to the same object captured using the additional vehicle. In various implementations, labeled instances of sensor data can be utilized to train a machine learning model to generate one or more control signals for autonomous vehicle control.Type: GrantFiled: March 12, 2020Date of Patent: November 28, 2023Assignee: AURORA OPERATIONS, INC.Inventors: Jean-Sebastien Valois, Ethan Eade
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Publication number: 20230373520Abstract: A method may include obtaining lidar data comprising a plurality of lidar returns from an environment of an autonomous vehicle. The lidar data may be processed with a machine learning model to generate, for the plurality of lidar returns, a plurality of first outputs that each identify a respective lidar return as belonging to an object or non-object and a plurality of second outputs that identify lidar returns belonging to objects as harmful or non-harmful to the autonomous vehicle. A subset of the lidar returns identified as belonging to objects that (i) do not correspond to any of a plurality of pre-classified objects and (ii) were identified as harmful to the autonomous vehicle may be determined. The autonomous vehicle may be controlled based at least in part on the subset of lidar returns.Type: ApplicationFiled: February 13, 2023Publication date: November 23, 2023Applicant: Aurora Operations, Inc.Inventors: Jake Charland, Ethan Eade, Karthik Lakshmanan, Daniel Munoz, Samuel Sean, Yuchen Xie, Luona Yang
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Publication number: 20230271615Abstract: Determining an instantaneous vehicle characteristic (e.g., at least one yaw rate) of an additional vehicle that is in addition to a vehicle being autonomously controlled, and adapting autonomous control of the vehicle based on the determined instantaneous vehicle characteristic of the additional vehicle. For example, autonomous steering, acceleration, and/or deceleration of the vehicle can be adapted based on a determined instantaneous vehicle characteristic of the additional vehicle. In many implementations, the instantaneous vehicle characteristics of the additional vehicle are determined based on data from a phase coherent Light Detection and Ranging (LIDAR) component of the vehicle, such as a phase coherent LIDAR monopulse component and/or a frequency-modulated continuous wave (FMCW) LIDAR component.Type: ApplicationFiled: April 11, 2023Publication date: August 31, 2023Inventors: Warren Smith, Ethan Eade, Sterling J. Anderson, James Andrew Bagnell, Bartholomeus C. Nabbe, Christopher Paul Urmson
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Patent number: 11718320Abstract: Systems and methods for using transmission sensor(s) in localization of an autonomous vehicle (“AV”) are described herein. Some implementations receive instance(s) of transmission sensor data generated by transmission sensor(s) of the AV, generate pose instance(s) of a pose of the AV based on the instance(s) of the transmission sensor data, and cause the AV to be controlled based on the pose instance(s). In some of those implementations, the pose instance(s) can be generated based on steering data the AV that indicates steering angle(s) of the autonomous, and that temporally correspond to the instance(s) of the transmission sensor data. In various implementations, the pose instance(s) may only be generated or utilized based on the instance(s) of the transmission sensor data (and optionally the steering data) in response to detecting an adverse event at the AV.Type: GrantFiled: December 17, 2020Date of Patent: August 8, 2023Assignee: AURORA OPERATIONS, INC.Inventors: James Scott Jackson, Abhay Vardhan, Adam Richard Williams, Yekeun Jeong, Ethan Eade
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Patent number: 11654917Abstract: Determining yaw parameter(s) (e.g., at least one yaw rate) of an additional vehicle that is in addition to a vehicle being autonomously controlled, and adapting autonomous control of the vehicle based on the determined yaw parameter(s) of the additional vehicle. For example, autonomous steering, acceleration, and/or deceleration of the vehicle can be adapted based on a determined yaw rate of the additional vehicle. In many implementations, the yaw parameter(s) of the additional vehicle are determined based on data from a phase coherent Light Detection and Ranging (LIDAR) component of the vehicle, such as a phase coherent LIDAR monopulse component and/or a frequency-modulated continuous wave (FMCW) LIDAR component.Type: GrantFiled: December 28, 2020Date of Patent: May 23, 2023Assignee: AURORA OPERATIONS, INC.Inventors: Warren Smith, Ethan Eade, Sterling J. Anderson, James Andrew Bagnell, Bartholomeus C. Nabbe, Christopher Paul Urmson
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Publication number: 20230133611Abstract: Determining classification(s) for object(s) in an environment of autonomous vehicle, and controlling the vehicle based on the determined classification(s). For example, autonomous steering, acceleration, and/or deceleration of the vehicle can be controlled based on determined pose(s) and/or classification(s) for objects in the environment. The control can be based on the pose(s) and/or classification(s) directly, and/or based on movement parameter(s), for the object(s), determined based on the pose(s) and/or classification(s). In many implementations, pose(s) and/or classification(s) of environmental object(s) are determined based on data from a phase coherent Light Detection and Ranging (LIDAR) component of the vehicle, such as a phase coherent LIDAR monopulse component and/or a frequency-modulated continuous wave (FMCW) LIDAR component.Type: ApplicationFiled: December 30, 2022Publication date: May 4, 2023Inventors: Warren Smith, Ethan Eade, Sterling J. Anderson, James Andrew Bagnell, Bartholomeus C. Nabbe, Christopher Paul Urmson
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Patent number: 11630458Abstract: Sensor data collected from an autonomous vehicle data can be labeled using sensor data collected from an additional vehicle. The additional vehicle can include a non-autonomous vehicle mounted with a removable hardware pod. In many implementations, removable hardware pods can be vehicle agnostic. In many implementations, generated labels can be utilized to train a machine learning model which can generate one or more control signals for the autonomous vehicle.Type: GrantFiled: December 16, 2021Date of Patent: April 18, 2023Assignee: AURORA OPERATIONS, INC.Inventors: Jean-Sebastien Valois, Ethan Eade
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Patent number: 11623658Abstract: A method may include obtaining sensor data that include a plurality of sensor returns from an environment of an autonomous vehicle. A first set of features may be extracted from the sensor data. The first set of features may be processed with a machine learning model to generate, for at least a subset of the plurality of sensor returns, a first output that classifies a respective sensor return as corresponding to an object or non-object and a second output that indicates a property of the object. The sensor returns classified as corresponding to objects may be compared to a plurality of pre-classified objects to generate one or more generic object classifications. The autonomous vehicle may be controlled based at least in part on the one or more generic object classifications.Type: GrantFiled: June 14, 2022Date of Patent: April 11, 2023Assignee: AURORA OPERATIONS, INC.Inventors: Jake Charland, Ethan Eade, Karthik Lakshmanan, Daniel Munoz, Samuel Sean, Yuchen Xie, Luona Yang
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Patent number: 11550061Abstract: Determining classification(s) for object(s) in an environment of autonomous vehicle, and controlling the vehicle based on the determined classification(s). For example, autonomous steering, acceleration, and/or deceleration of the vehicle can be controlled based on determined pose(s) and/or classification(s) for objects in the environment. The control can be based on the pose(s) and/or classification(s) directly, and/or based on movement parameter(s), for the object(s), determined based on the pose(s) and/or classification(s). In many implementations, pose(s) and/or classification(s) of environmental object(s) are determined based on data from a phase coherent Light Detection and Ranging (LIDAR) component of the vehicle, such as a phase coherent LIDAR monopulse component and/or a frequency-modulated continuous wave (FMCW) LIDAR component.Type: GrantFiled: October 29, 2018Date of Patent: January 10, 2023Assignee: Aurora Operations, Inc.Inventors: Warren Smith, Ethan Eade, Sterling J. Anderson, James Andrew Bagnell, Bartholomeus C. Nabbe, Christopher Paul Urmson
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Patent number: 11526538Abstract: A relative atlas graph maintains mapping data used by an autonomous vehicle. The relative atlas graph may be generated for a geographical area based on observations collected from the geographical area, and may include element nodes corresponding to elements detected from the observations along with edges that connect pairs of element nodes and define relative poses between the elements for connected pairs of element nodes, as well as relations that connect multiple element nodes to define logical relationships therebetween.Type: GrantFiled: February 17, 2022Date of Patent: December 13, 2022Assignee: Aurora Operations, Inc.Inventors: Ethan Eade, Michael Bode, James Andrew Bagnell
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Publication number: 20220308580Abstract: An autonomous vehicle uses a secondary vehicle control system to supplement a primary vehicle control system to perform a controlled stop if an adverse event is detected in the primary vehicle control system. The secondary vehicle control system may use a redundant lateral velocity determined by a different sensor from that used by the primary vehicle control system to determine lateral velocity for use in controlling the autonomous vehicle to perform the controlled stop.Type: ApplicationFiled: June 3, 2022Publication date: September 29, 2022Inventors: Ethan Eade, Nathaniel Gist, IV, Thomas Pilarski
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Publication number: 20220300242Abstract: A computing device and method are provided for transmitting a relevant subset of map data, called a neighborhood, to enable mutual spatial understanding by multiple display devices around a target virtual location to display a shared hologram in the same exact location in the physical environment at the same moment in time. The computing device may comprise a processor, a memory operatively coupled to the processor, and an anchor transfer program stored in the memory and executed by the processor.Type: ApplicationFiled: June 9, 2022Publication date: September 22, 2022Applicant: Microsoft Technology Licensing, LLCInventors: Ethan EADE, Jeroen VANTURENNOUT, Jonathan LYONS, David FIELDS, Gavin Dean LAZAROW, Tushar Cyril BHATNAGAR
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Patent number: 11450007Abstract: A relative atlas graph is generated to store mapping data used by an autonomous vehicle. The relative atlas graph may be generated for a geographical area based on observations collected from the geographical area, and may include element nodes corresponding to elements detected from the observations along with edges that connect pairs of element nodes and define relative poses between the elements for connected pairs of element nodes.Type: GrantFiled: February 17, 2022Date of Patent: September 20, 2022Assignee: Aurora Operations, Inc.Inventors: Ethan Eade, Michael Bode
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Patent number: 11360731Abstract: A computing device and method are provided for transmitting a relevant subset of map data, called a neighborhood, to enable mutual spatial understanding by multiple display devices around a target virtual location to display a shared hologram in the same exact location in the physical environment at the same moment in time. The computing device may comprise a processor, a memory operatively coupled to the processor, and an anchor transfer program stored in the memory and executed by the processor.Type: GrantFiled: October 11, 2019Date of Patent: June 14, 2022Assignee: Microsoft Technology Licensing, LLCInventors: Ethan Eade, Jeroen Vanturennout, Jonathan Lyons, David Fields, Gavin Dean Lazarow, Tushar Cyril Bhatnagar