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公开(公告)号:US12209874B2
公开(公告)日:2025-01-28
申请号:US18330124
申请日:2023-06-06
Applicant: Uber Technologies, Inc.
Inventor: Neil Stegall , Noah Zych
IPC: G01C21/00 , G01C21/34 , G01C21/36 , G05D1/00 , G06Q10/0631 , G08G1/00 , G08G1/0968 , G06Q50/40
Abstract: A computing system can maximize throughput for a common rendezvous location by determining estimated times of arrival (ETAs) to the common rendezvous location for matched users and/or transport providers. Based on the ETAs of each of the transport providers, the computing system can generate a dynamic queue comprising the transport providers for the common rendezvous location and manage the dynamic queue by routing the transport providers through the common rendezvous location. The computing system can further dynamically adjust the queue based on changes to the ETAs by transmitting updated navigation-related data to one or more of the matched transport providers.
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公开(公告)号:US20190286165A1
公开(公告)日:2019-09-19
申请号:US16429437
申请日:2019-06-03
Applicant: Uber Technologies, Inc.
Inventor: Matthew Shaw Wood , William M. Leach , Scott C. Poeppel , Nicholas G. Letwin , Noah Zych
Abstract: Systems and methods for controlling an autonomous vehicle are provided. In one example embodiment, a computer-implemented method includes obtaining, from an autonomy system, data indicative of a planned trajectory of the autonomous vehicle through a surrounding environment. The method includes determining a region of interest in the surrounding environment based at least in part on the planned trajectory. The method includes controlling one or more first sensors to obtain data indicative of the region of interest. The method includes identifying one or more objects in the region of interest, based at least in part on the data obtained by the one or more first sensors. The method includes controlling the autonomous vehicle based at least in part on the one or more objects identified in the region of interest.
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23.
公开(公告)号:US10261514B2
公开(公告)日:2019-04-16
申请号:US15678675
申请日:2017-08-16
Applicant: Uber Technologies, Inc.
Inventor: Noah Zych
IPC: B60W30/09 , G05D1/02 , B60Q5/00 , B60K28/02 , G05D1/00 , G08G1/16 , B60W30/095 , B60W30/08 , B60W50/14
CPC classification number: G05D1/0214 , B60K28/02 , B60Q5/006 , B60W30/08 , B60W30/09 , B60W30/095 , B60W30/0953 , B60W30/0956 , B60W50/14 , G05D1/0055 , G08G1/015 , G08G1/165 , G08G1/166
Abstract: Systems and methods for communicating autonomous vehicle operations are provided. In one example embodiment, a computer implemented method includes obtaining data associated with the autonomous vehicle. The method includes identifying an object within the surrounding environment of the autonomous vehicle or a planned vehicle motion action of the autonomous vehicle based at least in part on the data associated with the autonomous vehicle. The method includes determining an audible vehicle indication that is associated with the identified object or the planned vehicle motion action. The audible vehicle indication is indicative of a type of the object or a type of the planned vehicle motion. The method includes outputting, via one or more output devices onboard the autonomous vehicle, the audible vehicle indication.
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24.
公开(公告)号:US10209716B1
公开(公告)日:2019-02-19
申请号:US15678675
申请日:2017-08-16
Applicant: Uber Technologies, Inc.
Inventor: Noah Zych
IPC: B60W30/09 , G05D1/02 , B60Q5/00 , B60K28/02 , G05D1/00 , G08G1/16 , B60W30/095 , B60W30/08 , B60W50/14
Abstract: Systems and methods for communicating autonomous vehicle operations are provided. In one example embodiment, a computer implemented method includes obtaining data associated with the autonomous vehicle. The method includes identifying an object within the surrounding environment of the autonomous vehicle or a planned vehicle motion action of the autonomous vehicle based at least in part on the data associated with the autonomous vehicle. The method includes determining an audible vehicle indication that is associated with the identified object or the planned vehicle motion action. The audible vehicle indication is indicative of a type of the object or a type of the planned vehicle motion. The method includes outputting, via one or more output devices onboard the autonomous vehicle, the audible vehicle indication.
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公开(公告)号:US10156849B1
公开(公告)日:2018-12-18
申请号:US15638739
申请日:2017-06-30
Applicant: Uber Technologies, Inc.
Inventor: Noah Zych
CPC classification number: G05D1/0214 , B60W50/082 , G05D1/0088 , G05D2201/0213 , G06Q10/06315
Abstract: The present disclosure provides systems and methods that enable human supervision of a highly capable automated driving system. In particular, the systems and methods of the present disclosure enable a human (e.g., a passenger, driver/operator, or remote supervisor of an autonomous vehicle) to easily and quickly transition control of the autonomous vehicle from a primary motion plan that controls the vehicle towards a primary destination to a secondary motion plan that controls the vehicle to a safe state. As such, the systems and methods of the present disclosure enable advanced human supervision of autonomous vehicle behavior in which a human can cause an autonomous vehicle to operate in a risk-reduced manner or otherwise maneuver to a safe state, without requiring the human to actually assume manual control of the vehicle.
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公开(公告)号:US10065638B1
公开(公告)日:2018-09-04
申请号:US15668196
申请日:2017-08-03
Applicant: Uber Technologies, Inc.
Inventor: Matthew Shaw Wood , William M. Leach , Scott C. Poeppel , Nicholas G. Letwin , Noah Zych
IPC: G06F17/10 , B60W30/09 , G08G1/16 , G05D1/00 , B60W10/184 , B60W10/20 , B60W30/08 , G01S13/86 , G05D1/02
Abstract: Systems and methods for controlling an autonomous vehicle are provided. In one example embodiment, a computer-implemented method includes receiving data indicative of an operating mode of the vehicle, wherein the vehicle is configured to operate in a plurality of operating modes. The method includes determining one or more response characteristics of the vehicle based at least in part on the operating mode of the vehicle, each response characteristic indicating how the vehicle responds to a potential collision. The method includes controlling the vehicle based at least in part on the one or more response characteristics.
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