Patents by Inventor Anthony Stentz
Anthony Stentz 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: 11231286Abstract: A system can analyze a sensor view of a surrounding area of a self-driving vehicle (SDV). Based on analyzing the sensor view, the system can determine that a decision point along a current route of the SDV exceeds a predetermined risk threshold, and diverge the SDV from the current route based at least in part on the decision point exceeding the predetermined risk threshold.Type: GrantFiled: February 12, 2019Date of Patent: January 25, 2022Assignee: UATC, LLCInventors: Anthony Stentz, Bryan Nagy
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Patent number: 11157008Abstract: A control system for an autonomous vehicle can determine a risk value for each respective path segment of a plurality of path segments in a given area that includes a destination of the autonomous vehicle. The risk value can correspond to a cost layer in a map that includes the respective path segment. Based on the risk value for each respective path segment, the control system can determine a travel route for the autonomous vehicle to the destination, and autonomously control the autonomous vehicle to navigate along the travel route to the destination.Type: GrantFiled: July 23, 2019Date of Patent: October 26, 2021Assignee: UATC, LLCInventors: Robert Dean, Bryan Nagy, Anthony Stentz, Brett Bavar, Xiaodong Zhang, Adam Panzica
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Patent number: 11067991Abstract: A control system of a self-driving vehicle (SDV) can process sensor data from the sensor system to autonomously operate acceleration, braking, and steering systems of the SDV throughout a given region. The control system can receive a transport directive from a transport facilitation system to service a pick-up request from a requesting user, the transport directive indicating an inputted pick-up location by the requesting user. The control system can then autonomously operate the acceleration, braking, and steering systems along a current route to a pick-up area encompassing the inputted pick-up location. The control system can further determine a corresponding set of pick-up location options for the pick-up area, and as the SDV approaches the pick-up area, perform a hierarchical operation to identify, via the sensor data, an optimal pick-up location to rendezvous with the requesting user.Type: GrantFiled: May 23, 2019Date of Patent: July 20, 2021Assignee: Uber Technologies, Inc.Inventors: Peter Rander, Anthony Stentz, Brett Browning, Bryan Nagy
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Publication number: 20210005088Abstract: A computing system can receive sensor view data from each self-driving vehicle (SDV) in a fleet of SDVs operating throughout a given region. The system may further determine, based on the sensor view data, a set of properties of one or more vehicles external to the SDV. Based on the set of properties of the one or more vehicles, the system can generate traffic models for the given region and generate map data for users that indicate traffic flow for at least part of the given region.Type: ApplicationFiled: September 16, 2020Publication date: January 7, 2021Inventors: Peter Rander, Anthony Stentz, Bryan Nagy
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Patent number: 10810883Abstract: A transport system can receive vehicle data from each self-driving vehicle (SDV) in a fleet of SDVs operating throughout a given region. The transport system may further detect, in the vehicle data, a set of properties of one or more other vehicles external to the SDV. Based on the set of properties of the one or more vehicles, the transport system can construct traffic model(s) for the given region. Utilizing the traffic model(s), the transport system can provide estimated time of arrival (ETA) data, corresponding to SDVs in the fleet, to users of a transportation arrangement service in the given region.Type: GrantFiled: May 31, 2017Date of Patent: October 20, 2020Assignee: Uber Technologies, Inc.Inventors: Peter Rander, Anthony Stentz, Bryan Nagy
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Publication number: 20200019175Abstract: A control system for an autonomous vehicle can determine a risk value for each respective path segment of a plurality of path segments in a given area that includes a destination of the autonomous vehicle. The risk value can correspond to a cost layer in a map that includes the respective path segment. Based on the risk value for each respective path segment, the control system can determine a travel route for the autonomous vehicle to the destination, and autonomously control the autonomous vehicle to navigate along the travel route to the destination.Type: ApplicationFiled: July 23, 2019Publication date: January 16, 2020Inventors: Robert Dean, Bryan Nagy, Anthony Stentz, Brett Bavar, Xiaodong Zhang, Adam Panzica
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Publication number: 20190361447Abstract: A control system of a self-driving vehicle (SDV) can process sensor data from the sensor system to autonomously operate acceleration, braking, and steering systems of the SDV throughout a given region. The control system can receive a transport directive from a transport facilitation system to service a pick-up request from a requesting user, the transport directive indicating an inputted pick-up location by the requesting user. The control system can then autonomously operate the acceleration, braking, and steering systems along a current route to a pick-up area encompassing the inputted pick-up location. The control system can further determine a corresponding set of pick-up location options for the pick-up area, and as the SDV approaches the pick-up area, perform a hierarchical operation to identify, via the sensor data, an optimal pick-up location to rendezvous with the requesting user.Type: ApplicationFiled: May 23, 2019Publication date: November 28, 2019Inventors: Peter Rander, Anthony Stentz, Brett Browning, Bryan Nagy
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Patent number: 10416677Abstract: A system and method for autonomous vehicle routing using annotated maps. For at least some path segments within a geographic region in which the vehicle is operating, values are determined for the path segments based at least on risk factors associated with autonomous operation of the vehicle along each path segment. Path segments are combined to generate a travel route, from a first location to a second location, based on the determined values, and the vehicle is controlled to navigate along the travel route.Type: GrantFiled: November 14, 2017Date of Patent: September 17, 2019Assignee: Uber Technologies, Inc.Inventors: Robert Dean, Bryan Nagy, Anthony Stentz, Brett Bavar, Xiaodong Zhang, Adam Panzica
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Publication number: 20190257661Abstract: A system can analyze a sensor view of a surrounding area of a self-driving vehicle (SDV). Based on analyzing the sensor view, the system can determine that a decision point along a current route of the SDV exceeds a predetermined risk threshold, and diverge the SDV from the current route based at least in part on the decision point exceeding the predetermined risk threshold.Type: ApplicationFiled: February 12, 2019Publication date: August 22, 2019Inventors: Anthony Stentz, Bryan Nagy
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Patent number: 10303173Abstract: A control system of a self-driving vehicle (SDV) can process sensor data from the sensor system to autonomously operate acceleration, braking, and steering systems of the SDV throughout a given region. The control system can receive a transport directive from a transport facilitation system to service a pick-up request from a requesting user, the transport directive indicating an inputted pick-up location by the requesting user. The control system can then autonomously operate the acceleration, braking, and steering systems along a current route to a pick-up area encompassing the inputted pick-up location. The control system can further determine a corresponding set of pick-up location options for the pick-up area, and as the SDV approaches the pick-up area, perform a hierarchical operation to identify, via the sensor data, an optimal pick-up location to rendezvous with the requesting user.Type: GrantFiled: May 26, 2017Date of Patent: May 28, 2019Assignee: Uber Technologies, Inc.Inventors: Peter Rander, Anthony Stentz, Brett Browning, Bryan Nagy
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Publication number: 20190146508Abstract: A system and method for dynamic vehicle routing using annotated maps and profiles. The system receives a transport request for a user and generates a travel route for the user based on the transport request, data indicative of autonomous operation of the vehicle along the travel route, and data indicative of preferences for the user. The vehicle is controlled to traverse autonomously along the travel route.Type: ApplicationFiled: November 14, 2017Publication date: May 16, 2019Inventors: Robert Dean, Bryan Nagy, Anthony Stentz, Brett Bavar, Xiaodong Zhang, Adam Panzica
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Publication number: 20190146509Abstract: A system and method for autonomous vehicle routing using annotated maps. For at least some path segments within a geographic region in which the vehicle is operating, values are determined for the path segments based at least on risk factors associated with autonomous operation of the vehicle along each path segment. Path segments are combined to generate a travel route, from a first location to a second location, based on the determined values, and the vehicle is controlled to navigate along the travel route.Type: ApplicationFiled: November 14, 2017Publication date: May 16, 2019Inventors: Robert Dean, Bryan Nagy, Anthony Stentz, Brett Bavar, Xiaodong Zhang, Adam Panzica
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Patent number: 10254121Abstract: A self-driving vehicle (SDV) can dynamically analyze a sensor view of a surrounding area of the SDV, and a current localization map in order to autonomously operate acceleration, braking, and steering systems of the SDV along a current route to a destination. Upon approaching a decision point along the current route, the SDV can perform a cost optimization to determine whether to diverge from the current route.Type: GrantFiled: January 23, 2017Date of Patent: April 9, 2019Assignee: Uber Technologies, Inc.Inventors: Anthony Stentz, Bryan Nagy
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Publication number: 20180328745Abstract: Systems and methods can generate and/or implement coverage plans for vehicle navigation. Such coverage plans can be descriptive of a travel route for a vehicle to navigate a set of travel way portions within a map of a geographic area. The coverage plan can include a travel route that traverses each travel way portion at least once while reducing total travel cost (e.g., defined by a travel distance, number and/or types of turns, etc.) over all travel way portions. The coverage plan can also reduce turn angles and/or eliminate u-turns in order to provide a coverage plan that is safer and easier for implementation by vehicles controlled to navigate along the travel route.Type: ApplicationFiled: May 8, 2018Publication date: November 15, 2018Inventors: Bryan Nagy, Anthony Stentz, Xiaodong Zhang
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Publication number: 20180281815Abstract: A predictive teleassistance system cab monitor autonomous vehicles (AVs) operating throughout a given region, and predict teleassistance locations within the given region. Using route data for a respective AV, the system can determine a convergence of the respective AV with the predicted teleassistance location, and generate a plurality of decision options for a human teleassistance operator to resolve the predicted teleassistance location for the respective AV. The system may receive a selection of a decision option from the human teleassistance operator, and transmit a teleassistance command corresponding to the selected decision option to the respective AV in order to cause the respective AV to preemptively resolve the predicted teleassistance location.Type: ApplicationFiled: April 20, 2018Publication date: October 4, 2018Inventor: Anthony Stentz
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Publication number: 20180209801Abstract: A self-driving vehicle (SDV) can dynamically analyze a sensor view of a surrounding area of the SDV, and a current localization map in order to autonomously operate acceleration, braking, and steering systems of the SDV along a current route to a destination. Upon approaching a decision point along the current route, the SDV can perform a cost optimization to determine whether to diverge from the current route.Type: ApplicationFiled: January 23, 2017Publication date: July 26, 2018Inventors: Anthony Stentz, Bryan Nagy
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Patent number: 9918118Abstract: An imaging system comprising a panoramic visual image display, an associated directional sound playback device, and an associated motion reproduction device is disclosed. The imaging system conveys visual, sound and motion information related to a particular viewing direction to provide a realistic experience for the viewer. The imaging system can also comprise a panoramic visual image recording device capable of recording panoramic images, an associated directional sound capturing device capable of recording sound, and an associated directional motion capturing device capable of recording motion. Recorded panoramic images, sound and motion can be synchronously recorded to a common time code for simultaneous playback.Type: GrantFiled: May 27, 2016Date of Patent: March 13, 2018Assignee: 360FLY, INC.Inventors: Michael Rondinelli, Anthony Stentz, Sanjiv Singh, Herman Herman
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Publication number: 20170344010Abstract: A control system of a self-driving vehicle (SDV) can process sensor data from the sensor system to autonomously operate acceleration, braking, and steering systems of the SDV throughout a given region. The control system can receive a transport directive from a transport facilitation system to service a pick-up request from a requesting user, the transport directive indicating an inputted pick-up location by the requesting user. The control system can then autonomously operate the acceleration, braking, and steering systems along a current route to a pick-up area encompassing the inputted pick-up location. The control system can further determine a corresponding set of pick-up location options for the pick-up area, and as the SDV approaches the pick-up area, perform a hierarchical operation to identify, via the sensor data, an optimal pick-up location to rendezvous with the requesting user.Type: ApplicationFiled: May 26, 2017Publication date: November 30, 2017Inventors: Peter Rander, Anthony Stentz, Brett Browning, Bryan Nagy
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Publication number: 20170329332Abstract: An autonomous vehicle operates to obtain sensor data for a road segment that is in front of the vehicle. The autonomous vehicle can include a control system which processes the sensor data to determine an interference value that reflects a probability that at least a detected object will interfere with a selected path of the autonomous vehicle at one or more points of the road segment. The control system of the autonomous vehicle can adjust operation of the autonomous vehicle based on the determined interference value.Type: ApplicationFiled: May 10, 2016Publication date: November 16, 2017Inventors: Thomas Pilarski, James Bagnell, Anthony Stentz, Peter Rander, Brett Browning
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Patent number: 9796089Abstract: The invention disclosed herein describes a supervised autonomy system designed to precisely model, inspect and process the surfaces of complex three-dimensional objects. The current application context for this system is laser coating removal of aircraft, but this invention is suitable for use in a wide variety of applications that require close, precise positioning and maneuvering of an inspection or processing tool over the entire surface of a physical object. For example, this system, in addition to laser coating removal, could also apply new coatings, perform fine-grained or gross inspection tasks, deliver and/or use manufacturing process tools or instruments, and/or verify the results of other manufacturing processes such as but not limited to welding, riveting, or the placement of various surface markings or fixtures.Type: GrantFiled: March 17, 2014Date of Patent: October 24, 2017Assignee: Carnegie Mellon UniversityInventors: Stuart Edwin Lawrence, III, Christopher L Baker, Christopher Randolph Baker, David G Galati, Justin C Haines, Herman Herman, Alonzo J Kelly, Eric Meyhofer, Anthony Stentz, Jean-Sebastien Valois, Andrew Strat