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公开(公告)号:US20200309557A1
公开(公告)日:2020-10-01
申请号:US16366869
申请日:2019-03-27
Applicant: Lyft, Inc.
Inventor: Kris Richard Efland
Abstract: Systems, methods, and non-transitory computer-readable media can receive a starting location and a destination location. A route from the starting location to the destination location is determined. A video preview of the route is generated based on map data associated with the route. The video preview depicts one or more vehicles to be taken by a user traversing the route.
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公开(公告)号:US20250054319A1
公开(公告)日:2025-02-13
申请号:US18770422
申请日:2024-07-11
Applicant: Lyft, Inc.
Inventor: Kris Richard Efland
Abstract: Systems, methods, and non-transitory computer-readable media can determine contextual information describing at least one physical structure corresponding to a location based at least in part on data captured by one or more sensors of a vehicle. A set of candidate interaction points for the at least one physical structure can be determined based at least in part on the determined contextual information describing the at least one physical structure corresponding to the location. The set of candidate interaction points can be filtered to identify one or more interaction points. An interaction point can be selected from the one or more interaction points to use for stopping the vehicle.
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公开(公告)号:US12018958B2
公开(公告)日:2024-06-25
申请号:US16917672
申请日:2020-06-30
Applicant: Lyft, Inc.
Inventor: Ritwik Subir Das , Kris Richard Efland , Nadha Nafeeza Gafoor , Nastaran Ghadar , Meng Tao
CPC classification number: G01C21/3602 , G01C21/3492 , G01C21/3833 , G01C21/3896 , G06F18/214 , G06V20/582 , G06V20/584 , G06V20/588
Abstract: Examples disclosed herein may involve a computing system configured to (i) identify a stationary element in a real-world environment for which to infer information, (ii) detect a semantic relationship between the stationary element and one or more other stationary elements in the real-world environment, (iii) based on the detected semantic relationship, infer information about the stationary element, (iv) include the inferred information about the stationary element within a set of information that describes the stationary element.
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公开(公告)号:US20220011133A1
公开(公告)日:2022-01-13
申请号:US17411949
申请日:2021-08-25
Applicant: Lyft, Inc.
Inventor: Kris Richard Efland
Abstract: Systems, methods, and non-transitory computer-readable media can receive a starting location and a destination location. A route from the starting location to the destination location is determined. A video preview of the route is generated based on map data associated with the route. The video preview depicts one or more vehicles to be taken by a user traversing the route.
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公开(公告)号:US20210406559A1
公开(公告)日:2021-12-30
申请号:US16916015
申请日:2020-06-29
Applicant: Lyft, Inc.
Inventor: Kris Richard Efland , Nadha Nafeeza Gafoor , Nastaran Ghadar , Amruta Kiran Kulkarni , Meng Tao , Ziyi Zhao
Abstract: Examples disclosed herein may involve a computing system configured to (i) maintain a map that is representative of a real-world environment, the map including a plurality of layers that are each encoded with a different type of map data, (ii) obtain sensor data indicative of a given area of the real-world environment, (iii) based on an evaluation of the obtained sensor data and map data corresponding to the given area, detect that a change has occurred in the given area, (iv) based on the collected sensor data, derive information about the detected change including at least a type of the change and a location of the change, (v) based on the derived information about the detected change, determine that one or more layers of the map is impacted by the detected change, and (vi) effect an update to the one or more layers of the map based on the derived information about the change.
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公开(公告)号:US12158351B2
公开(公告)日:2024-12-03
申请号:US16917672
申请日:2020-06-30
Applicant: Lyft, Inc.
Inventor: Ritwik Subir Das , Kris Richard Efland , Nadha Nafeeza Gafoor , Nastaran Ghadar , Meng Tao
Abstract: Examples disclosed herein may involve a computing system configured to (i) identify a stationary element in a real-world environment for which to infer information, (ii) detect a semantic relationship between the stationary element and one or more other stationary elements in the real-world environment, (iii) based on the detected semantic relationship, infer information about the stationary element, (iv) include the inferred information about the stationary element within a set of information that describes the stationary element.
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公开(公告)号:US20210404841A1
公开(公告)日:2021-12-30
申请号:US16917672
申请日:2020-06-30
Applicant: Lyft, Inc.
Inventor: Ritwik Subir Das , Kris Richard Efland , Nadha Nafeeza Gafoor , Nastaran Ghadar , Meng Tao
Abstract: Examples disclosed herein may involve a computing system configured to (i) identify a stationary element in a real-world environment for which to infer information, (ii) detect a semantic relationship between the stationary element and one or more other stationary elements in the real-world environment, (iii) based on the detected semantic relationship, infer information about the stationary element, (iv) include the inferred information about the stationary element within a set of information that describes the stationary element.
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公开(公告)号:US20200279118A1
公开(公告)日:2020-09-03
申请号:US16816868
申请日:2020-03-12
Applicant: Lyft, Inc.
Inventor: Kris Richard Efland
Abstract: Systems, methods, and non-transitory computer-readable media can determine contextual information describing at least one physical structure corresponding to a location based at least in part on data captured by one or more sensors of a vehicle. A set of candidate interaction points for the at least one physical structure can be determined based at least in part on the determined contextual information describing the at least one physical structure corresponding to the location. The set of candidate interaction points can be filtered to identify one or more interaction points. An interaction point can be selected from the one or more interaction points to use for stopping the vehicle.
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公开(公告)号:US12112535B2
公开(公告)日:2024-10-08
申请号:US16916015
申请日:2020-06-29
Applicant: Lyft, Inc.
Inventor: Kris Richard Efland , Nadha Nafeeza Gafoor , Nastaran Ghadar , Amruta Kiran Kulkarni , Meng Tao , Ziyi Zhao
CPC classification number: G06V20/10 , G01C21/3822 , G01C21/3841 , G01C21/3859 , G06F18/251 , G06V10/803 , G06V20/56
Abstract: Examples disclosed herein may involve a computing system configured to (i) maintain a map that is representative of a real-world environment, the map including a plurality of layers that are each encoded with a different type of map data, (ii) obtain sensor data indicative of a given area of the real-world environment, (iii) based on an evaluation of the obtained sensor data and map data corresponding to the given area, detect that a change has occurred in the given area, (iv) based on the collected sensor data, derive information about the detected change including at least a type of the change and a location of the change, (v) based on the derived information about the detected change, determine that one or more layers of the map is impacted by the detected change, and (vi) effect an update to the one or more layers of the map based on the derived information about the change.
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公开(公告)号:US12067787B2
公开(公告)日:2024-08-20
申请号:US16816868
申请日:2020-03-12
Applicant: Lyft, Inc.
Inventor: Kris Richard Efland
CPC classification number: G06V20/586 , B60W30/06 , G05D1/0088 , G05D1/024 , G05D1/0246
Abstract: Systems, methods, and non-transitory computer-readable media can determine contextual information describing at least one physical structure corresponding to a location based at least in part on data captured by one or more sensors of a vehicle. A set of candidate interaction points for the at least one physical structure can be determined based at least in part on the determined contextual information describing the at least one physical structure corresponding to the location. The set of candidate interaction points can be filtered to identify one or more interaction points. An interaction point can be selected from the one or more interaction points to use for stopping the vehicle.
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