GENERATING USER INTERFACES COMPRISING DYNAMIC ACCORDION-BASED TRANSPORTATION USER INTERFACE ELEMENTS TO IMPROVE COMPUTER SYSTEM EFFICIENCY

    公开(公告)号:US20230068492A1

    公开(公告)日:2023-03-02

    申请号:US17461602

    申请日:2021-08-30

    申请人: Lyft, Inc.

    摘要: The present application discloses systems, methods, and computer-readable media that can intelligently generate a graphical user interface (GUI) having expandable and/or collapsible interface elements that flexibly, efficiently, and accurately provide transportation mode options and transportation sub-options on a computing device. For example, based on monitored transportation features of provider devices and requestor devices, the disclosed systems can dynamically determine a first tier of transportation mode option interface elements and a second tier of transportation sub-option interface elements within accordion-based elements that are operable to display and hide the second tier. Additionally, the disclosed systems can, based on the monitored transportation features of provider devices and requestor devices, dynamically control the expanded (or collapsed) states, positioning, availability states, and/or preselection of accordion-based selectable transportation mode option interface elements and/or transportation sub-option interface elements within a GUI.

    COMPRESSING DIGITAL METRICS FOR TRANSMISSION ACROSS A NETWORK UTILIZING A GRAPH-BASED COMPRESSION DICTIONARY AND TIME SLICE DELTA COMPRESSION

    公开(公告)号:US20230060276A1

    公开(公告)日:2023-03-02

    申请号:US18047880

    申请日:2022-10-19

    申请人: Lyft, Inc.

    IPC分类号: H04L69/04

    摘要: The present disclosure relates to systems, methods, and non-transitory computer-readable media that generate compressed metric data for digital metrics utilizing a graph-based compression dictionary and time slice compression. For instance, the disclosed systems can utilize a dynamically modifiable graph-based compression dictionary to generate compressed metric label identifiers for metric labels of digital metrics. The graph-based compression dictionary can include nodes and edges corresponding to metric label segments and metric label identifier values, respectively. The disclosed systems can traverse the graph-based compression dictionary using a metric label to determine the corresponding compressed metric label identifier. The disclosed systems can further generate delta compression values for the metric values of the digital metrics. For instance, the disclosed systems can compare metric values within a single time slice (e.g., a time stamp) to generate corresponding delta compression values. In some cases, the disclosed systems further compare the metric values across a time window.

    TRANSITION OF NAVIGATION MODES FOR MULTI-MODAL TRANSPORATION

    公开(公告)号:US20230033313A1

    公开(公告)日:2023-02-02

    申请号:US17938737

    申请日:2022-10-07

    申请人: Lyft, Inc.

    IPC分类号: G01C21/36

    摘要: Systems and methods for improved transitioning and updating of navigations modes for multi-modal transportation routes are presented. In one embodiment, a method is provided that includes receiving a transportation route, which may include a first segment and a second segment. A first interface associated with the first segment may be displayed and may include a visual indicator of a rate of progress. A predicted travel time may be predicted, based on the rate of progress, to a starting location of the second segment. The visual indicator may be updated based on a comparison of the predicted travel time to a start time of the second segment.

    Autonomous vehicle notification system

    公开(公告)号:US11562651B2

    公开(公告)日:2023-01-24

    申请号:US16825833

    申请日:2020-03-20

    申请人: Lyft, Inc.

    摘要: In one embodiment, a method includes detecting, using one or more sensors of a vehicle, an entity in an environment surrounding the vehicle. The method includes determining a position of the entity relative to the vehicle. The method includes determining that a message is to be provided to the entity. The method includes selecting at least one of multiple notification devices of the vehicle based on the position of the entity relative to the vehicle. The method includes providing the message to the entity using the selected notification device.

    OFFLINE OPTIMIZATION OF SENSOR DATA FOR AGENT TRAJECTORIES

    公开(公告)号:US20220284619A1

    公开(公告)日:2022-09-08

    申请号:US17190312

    申请日:2021-03-02

    申请人: Lyft, Inc.

    IPC分类号: G06T7/70 G06K9/62 H04N13/204

    摘要: Examples disclosed herein involve a computing system configured to (i) based on image data captured by a vehicle in an environment, obtain observations of a time-sequence of positions of an agent identified within the image data, (ii) generate a first updated time-sequence of positions of the agent by performing a first optimization operation that includes processing the observed time-sequence of positions by beginning with a position associated with an observation having the highest confidence in the time-sequence of observations and proceeding in a first direction, (iii) after generating the first updated time-sequence of positions, generate a second updated time-sequence of positions of the agent by performing a second optimization operation that includes processing the first updated time-sequence of positions in a second direction opposite the first direction, and (iv) derive a trajectory for the agent in the environment based on the second updated time-sequence of positions for the agent.

    Sensor calibration facility
    50.
    发明授权

    公开(公告)号:US11435456B2

    公开(公告)日:2022-09-06

    申请号:US15857372

    申请日:2017-12-28

    申请人: Lyft, Inc.

    摘要: In one embodiment, a facility for calibrating sensors of an autonomous vehicle (AV) includes a camera calibration target configured to be measured by and used for calibrating an optical camera of the AV; a light detection and ranging (LiDAR) calibration target configured to be measured by and used for calibrating a LiDAR transceiver of the AV; and a platform configured to allow the AV to drive onto and park on the platform. The camera calibration target and the LiDAR calibration target are positioned to be detectable by the optical camera and the LiDAR transceiver while the AV is parked on the platform. The platform is further configured to modify a lateral position, height, or orientation of the optical camera and the LiDAR transceiver relative to the camera calibration target and the LiDAR calibration target while the AV is parked on the platform.