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公开(公告)号：US20210063175A1
公开(公告)日：2021-03-04
申请号：US16948576
申请日：2020-09-23
Applicant: Uber Technologies, Inc.
Inventor： Shivendra Pratap Singh , Upamanyu Madhow , Vikram Saxena , Livia Zarnescu Yanez , Chandan Prakash Sheth , Sheng Yang , Alvin AuYoung
Abstract: Systems and methods of using sensor data for coordinate prediction are disclosed herein. In some example embodiments, for a place, a computer system accesses corresponding service data comprising pick-up data and drop-off data for requests, and accesses corresponding sensor data indicating at least one path of mobile devices of the requesters of the requests, with the at least one path comprising at least one of a pick-up path ending at the pick-up location indicated by the pick-up data and a drop-off path beginning at the drop-off location indicated by the drop-off data. In some example embodiments, the computer system generates at least one predicted geographic location using the paths indicated by the sensor data, and stores the at least one predicted geographic location in a database in association with an identification of the place.
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公开(公告)号：US10902033B2
公开(公告)日：2021-01-26
申请号：US15829634
申请日：2017-12-01
Applicant: Uber Technologies, Inc.
Inventor： Alvin AuYoung , Sheng Yang , Chandan Prakash Sheth , Livia Zarnescu Yanez , Chun-Chen Kuo , Shivendra Pratap Singh , Vikram Saxena
Abstract: Systems and methods for improving accuracy of geographic position data are provided. A networked system mines ticket data from content of the ticket. Based on the ticket data, a determination is made that the ticket indicates an issue with a trip involving a point of interest (POI). The networked system extracts trip data from a trip log corresponding to the trip involving the POI, and identifies, from a data storage, stored attributes of the POI. The networked system analyzes the ticket data, trip data, and attributes to determine a workflow to improve accuracy of the POI, whereby the analyzing comprises determining a priority level to verify accuracy of the POI. The workflow is triggered based on the priority level to verify accuracy of the POI.
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公开(公告)号：US10699398B2
公开(公告)日：2020-06-30
申请号：US16021317
申请日：2018-06-28
Applicant: Uber Technologies, Inc.
Inventor： Chandan Prakash Sheth , Minzhen Yi , Livia Zarnescu Yanez , Sheng Yang , Shivendra Pratap Singh , Alvin AuYoung , Vikram Saxena
Abstract: Systems and methods of deep learning coordinate prediction using satellite and service data are disclosed herein. In some example embodiments, for each one of a plurality of places, a computer system trains a deep learning model based on training data of the plurality of places. The deep leaning model is configured to generate a predicted geographical location of a place based on satellite image data and service data associated with the place. The training data for each place comprises satellite image data of the place, service data, and a ground truth geographical location of the place. The service data comprises at least one of pick-up data indicating a geographical location at which a provider started transporting a requester in servicing a request associated with the place or drop-off data indicating a geographical location at which the provider completed transporting the requester in servicing the request associated with the place.
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公开(公告)号：US20190171733A1
公开(公告)日：2019-06-06
申请号：US15829634
申请日：2017-12-01
Applicant: Uber Technologies, Inc.
Inventor： Alvin AuYoung , Sheng Yang , Chandan Sheth , Chun-Chen Kuo , Livia Zarnescu Yanez , Shivendra Pratap Singh , Vikram Saxena
Abstract: Systems and methods for improving accuracy of geographic position data are provided. A networked system mines ticket data from content of the ticket. Based on the ticket data, a determination is made that the ticket indicates an issue with a trip involving a point of interest (POI). The networked system extracts trip data from a trip log corresponding to the trip involving the POI, and identifies, from a data storage, stored attributes of the POI. The networked system analyzes the ticket data, trip data, and attributes to determine a workflow to improve accuracy of the POI, whereby the analyzing comprises determining a priority level to verify accuracy of the POI. The workflow is triggered based on the priority level to verify accuracy of the POI.
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公开(公告)号：US20240344834A1
公开(公告)日：2024-10-17
申请号：US18752213
申请日：2024-06-24
Applicant: Uber Technologies, Inc.
Inventor： Shivendra Pratap Singh , Upamanyu Madhow , Vikram Saxena , Livia Zarnescu Yanez , Chandan Prakash Sheth , Sheng Yang , Alvin AuYoung
CPC classification number: G01C21/3446 , G01C21/20 , G01C21/362 , G06F16/29 , G06N5/022
Abstract: Systems and methods of using sensor data for coordinate prediction are disclosed herein. In some example embodiments, for a place, a computer system accesses corresponding service data comprising pick-up data and drop-off data for requests, and accesses corresponding sensor data indicating at least one path of mobile devices of the requesters of the requests, with the at least one path comprising at least one of a pick-up path ending at the pick-up location indicated by the pick-up data and a drop-off path beginning at the drop-off location indicated by the drop-off data. In some example embodiments, the computer system generates at least one predicted geographic location using the paths indicated by the sensor data, and stores the at least one predicted geographic location in a database in association with an identification of the place.
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Patent Agency Ranking
公开(公告)号：US12066295B2
公开(公告)日：2024-08-20
申请号：US18321357
申请日：2023-05-22
Applicant: Uber Technologies, Inc.
Inventor： Shivendra Pratap Singh , Upamanyu Madhow , Vikram Saxena , Livia Zarnescu Yanez , Chandan Prakash Sheth , Sheng Yang , Alvin AuYoung
CPC classification number: G01C21/3446 , G01C21/20 , G01C21/362 , G06F16/29 , G06N5/022
Abstract: Systems and methods of using sensor data for coordinate prediction are disclosed herein. In some example embodiments, for a place, a computer system accesses corresponding service data comprising pick-up data and drop-off data for requests, and accesses corresponding sensor data indicating at least one path of mobile devices of the requesters of the requests, with the at least one path comprising at least one of a pick-up path ending at the pick-up location indicated by the pick-up data and a drop-off path beginning at the drop-off location indicated by the drop-off data. In some example embodiments, the computer system generates at least one predicted geographic location using the paths indicated by the sensor data, and stores the at least one predicted geographic location in a database in association with an identification of the place.
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公开(公告)号：US20230288213A1
公开(公告)日：2023-09-14
申请号：US18321357
申请日：2023-05-22
Applicant: Uber Technologies, Inc.
Inventor： Shivendra Singh , Upamanyu Madhow , Vikram Saxena , Livia Zarnescu Yanez , Chandan Prakash Sheth , Sheng Yang , Alvin AuYoung
CPC classification number: G01C21/3446 , G01C21/362 , G01C21/20 , G06N5/022 , G06F16/29
Abstract: Systems and methods of using sensor data for coordinate prediction are disclosed herein. In some example embodiments, for a place, a computer system accesses corresponding service data comprising pick-up data and drop-off data for requests, and accesses corresponding sensor data indicating at least one path of mobile devices of the requesters of the requests, with the at least one path comprising at least one of a pick-up path ending at the pick-up location indicated by the pick-up data and a drop-off path beginning at the drop-off location indicated by the drop-off data. In some example embodiments, the computer system generates at least one predicted geographic location using the paths indicated by the sensor data, and stores the at least one predicted geographic location in a database in association with an identification of the place.
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公开(公告)号：US11550858B2
公开(公告)日：2023-01-10
申请号：US15993313
申请日：2018-05-30
Applicant: Uber Technologies, Inc.
Inventor： Alvin AuYoung , Livia Zarnescu Yanez , Kyle Elliot DeHovitz , Ted Douglas Herringshaw , Joshua Lodge Ross , Vikram Saxena , Chandan Prakash Sheth , Shivendra Pratap Singh , Sheng Yang
IPC: G06F16/23 , G06F16/248 , G06F16/29 , G06F16/9535 , G06F16/9537 , G06N20/00 , G06Q50/14
Abstract: Systems and methods for detecting and verifying closed places (e.g., claims no longer in business) from trip data are provided. A networked system accesses trip data associated with the POI. The networked system processes the trip data to generate at least two time buckets based on timestamps from the trip data associated with the POI, and calculates trip counts associated with the POI for each of the time buckets. Using a machine learning algorithm and based on the at least two time buckets, the networked system determines that the trip counts show a decline over time that indicates that the POI is likely closed. In response to the determining, the networked system updates a database to indicate the POI is closed.
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公开(公告)号：US20210370971A1
公开(公告)日：2021-12-02
申请号：US17303440
申请日：2021-05-28
Applicant: Uber Technologies, Inc.
Inventor： Alvin AuYoung , Chaoqun Tao , Anny Xinda Yang , Christopher James Lyons , Bryan John Nagy , Quinn Zikun Shen , Michael Beeheng Goff , Alexander Rashid Ansari , Qing Li
IPC: B60W60/00 , G06F16/435 , G06F16/45 , G08G1/00 , G06N20/00 , G06F16/487
Abstract: A vehicle navigation system may include a data pipeline that proposes routing graph modifications from automatically ingested data sources and that provides enough context to suggest an expiration time to remove the routing graph modifications once imposed. The system and method receives from at least one data source routing graph modification data including geographic location data identifying a location to which a routing graph modification applies. The routing graph modification data is associated with one or more roadway elements in a routing graph of a navigation constraints system, and the routing graph modification data associated with the one or more roadway elements is classified as a routing graph modification. The routing graph modification is added to or, if expired, removed from the navigation constraints system.
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公开(公告)号：US20220185315A1
公开(公告)日：2022-06-16
申请号：US17130133
申请日：2020-12-22
Applicant: Uber Technologies, Inc.
Inventor： Nathan Falk , Sara Ahmadi , Alvin AuYoung
Abstract: Systems and methods for authenticating autonomous vehicle travel networks are provided. A system can obtain map data descriptive of a number of segment attributes for a number of travel way segments within a travel way network. The system can obtain operational domain parameters for the travel way segments and generate an operational domain including a number of operational travel way segments with segment attributes that achieve the operational domain parameters. The system can compare the operational domain to approval criteria associated with a service entity to verify that the operational travel way segments of the operational domain comply with service entity policies. The system can provide a verified operational domain to an autonomous vehicle for use in traversing the travel network. An operational domain that does not meet the approval criteria can be modified to comply with the approval criteria before being provided to an autonomous vehicle.
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