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公开(公告)号：US12214724B2
公开(公告)日：2025-02-04
申请号：US17843278
申请日：2022-06-17
Applicant: Aurora Operations, Inc.
Inventor： Zac Vawter , Alden James Woodrow
Abstract: Systems and methods are directed to deploying warning devices by an autonomous vehicle. In one example, a system includes one or more processors and memory including instructions that, when executed by the one or more processors, cause the one or more processors to perform operations. The operations include obtaining data indicating that a vehicle stop maneuver is to be implemented for an autonomous vehicle. The operations further include determining whether one or more warning devices should be dispensed from the autonomous vehicle during the vehicle stop maneuver based in part on the obtained data. The operations further include, in response to determining one or more warning devices should be dispensed from the autonomous vehicle, determining a dispensing maneuver for the one or more warning devices, and providing one or more command signals to one or more vehicle systems to perform the dispensing maneuver for the one or more warning devices.
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公开(公告)号：US12205030B2
公开(公告)日：2025-01-21
申请号：US18497025
申请日：2023-10-30
Applicant: Aurora Operations, Inc.
Inventor： Eric Randall Kee , Carlos Vallespi-Gonzalez , Gregory P. Meyer , Ankit Laddha
IPC: G06V10/00 , G05D1/00 , G06F18/21 , G06F18/2321 , G06N3/02 , G06N3/08 , G06V10/762 , G06V10/776 , G06V20/58
Abstract: Systems, methods, tangible non-transitory computer-readable media, and devices for detecting objects are provided. For example, the disclosed technology can obtain a representation of sensor data associated with an environment surrounding a vehicle. Further, the sensor data can include sensor data points. A point classification and point property estimation can be determined for each of the sensor data points and a portion of the sensor data points can be clustered into an object instance based on the point classification and point property estimation for each of the sensor data points. A collection of point classifications and point property estimations can be determined for the portion of the sensor data points clustered into the object instance. Furthermore, object instance property estimations for the object instance can be determined based on the collection of point classifications and point property estimations for the portion of the sensor data points clustered into the object instance.
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公开(公告)号：US12199132B1
公开(公告)日：2025-01-14
申请号：US18658422
申请日：2024-05-08
Applicant: Aurora Operations, Inc.
Inventor： Lei Wang
IPC: H01L27/146 , H01L21/306 , H01L21/3065 , H01L21/3105 , H01L21/78 , G01S7/481 , G01S17/931
Abstract: A method for manufacturing a semiconductor optical device for a LIDAR sensor system for a vehicle includes (a) forming a plurality of microlens structures at respective first locations on a first major surface of respective first and second semiconductor wafers. The method includes (b) forming a plurality of notch structures at respective second locations on a second major surface of the respective first and second semiconductor wafers, wherein the respective second locations on the second major surface are substantially opposite the respective first locations on the first major surface. The method includes (c) bonding the second major surface of the first semiconductor wafer to the second major surface of the second semiconductor wafer to form a semiconductor wafer pair. The method includes (d) dicing the semiconductor wafer pair to segment the semiconductor wafer pair into a plurality of individual semiconductor optical devices.
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公开(公告)号：US12198358B2
公开(公告)日：2025-01-14
申请号：US17962624
申请日：2022-10-10
Applicant: Aurora Operations, Inc.
Inventor： Raquel Urtasun , Wei-Chiu Ma , Shenlong Wang , Yuwen Xiong , Rui Hu
Abstract: Systems, methods, tangible non-transitory computer-readable media, and devices associated with motion flow estimation are provided. For example, scene data including representations of an environment over a first set of time intervals can be accessed. Extracted visual cues can be generated based on the representations and machine-learned feature extraction models. At least one of the machine-learned feature extraction models can be configured to generate a portion of the extracted visual cues based on a first set of the representations of the environment from a first perspective and a second set of the representations of the environment from a second perspective. The extracted visual cues can be encoded using energy functions. Three-dimensional motion estimates of object instances at time intervals subsequent to the first set of time intervals can be determined based on the energy functions and machine-learned inference models.
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15.发明申请公开(公告)号：US20250013235A1
公开(公告)日：2025-01-09
申请号：US18890881
申请日：2024-09-20
Applicant: Aurora Operations, Inc.
Inventor： Anqi Joyce Yang , Can Cui , Ioan Andrei Bârsan , Shenlong Wang , Raquel Urtasun
IPC: G05D1/00 , B60R1/27 , G01S17/894
Abstract: Systems and methods for the simultaneous localization and mapping of autonomous vehicle systems are provided. A method includes receiving a plurality of input image frames from the plurality of asynchronous image devices triggered at different times to capture the plurality of input image frames. The method includes identifying reference image frame(s) corresponding to a respective input image frame by matching the field of view of the respective input image frame to the fields of view of the reference image frame(s). The method includes determining association(s) between the respective input image frame and three-dimensional map point(s) based on a comparison of the respective input image frame to the one or more reference image frames. The method includes generating an estimated pose for the autonomous vehicle the one or more three-dimensional map points. The method includes updating a continuous-time motion model of the autonomous vehicle based on the estimated pose.
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Patent Agency Ranking
公开(公告)号：US20240425083A1
公开(公告)日：2024-12-26
申请号：US18754461
申请日：2024-06-26
Applicant: Aurora Operations, Inc.
Inventor： Chenggang Liu , David McAllister Bradley , Nitish Thatte , Colin Jeffrey Green
Abstract: The present disclosure is directed to altering vehicle paths. In particular, a computing system can access map data for a geographic area. The computing system can obtain target zone data describing a target zone within the geographic area. The computing system can determine an altered nominal path to traverse the target zone. The computing system can designate a portion of the altered nominal path as a designated action region associated with the target zone. The computing system can generate a longitudinal plan for an autonomous vehicle through the geographic area based on the altered nominal path. The computing system can generate a target velocity for one or more portions of the nominal path within the designated action region. The computing system can generate a trajectory for the autonomous vehicle based on the target velocity and the altered nominal path.
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公开(公告)号：US20240418514A1
公开(公告)日：2024-12-19
申请号：US18749093
申请日：2024-06-20
Applicant: Aurora OPerations, Inc.
Inventor： Rachel Ahn , David Prasser , Peter Hansen , Robert Zlot
Abstract: Various examples are directed to systems and methods for locating a vehicle. A pose state estimator may access a previous position for the vehicle at a first time, wherein the previous position is on a first sub-map of a plurality of sub-maps. The pose state estimator may receive from a first localizer a first position estimate for the vehicle at a second time after the first time. The first position estimate may be on a second sub-map of the plurality of sub-maps. The pose state estimator may send to a second localizer a sub-map change message indicating the second sub-map.
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18.发明申请公开(公告)号：US20240409126A1
公开(公告)日：2024-12-12
申请号：US18416490
申请日：2024-01-18
Applicant: Aurora Operations, Inc
Inventor： Micol MARCHETTI-BOWICK , Yiming GU
Abstract: Systems and methods are directed to generating behavioral predictions in reaction to autonomous vehicle movement. In one example, a computer-implemented method includes obtaining, by a computing system, local scene data associated with an environment external to an autonomous vehicle, the local scene data including actor data for an actor in the environment external to the autonomous vehicle. The method includes extracting, by the computing system and from the local scene data, one or more actor prediction parameters for the actor using a machine-learned parameter extraction model. The method includes determining, by the computing system, a candidate motion plan for the autonomous vehicle. The method includes generating, by the computing system and using a machine-learned prediction model, a reactive prediction for the actor based at least in part on the one or more actor prediction parameters and the candidate motion plan.
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公开(公告)号：US12164410B2
公开(公告)日：2024-12-10
申请号：US17567231
申请日：2022-01-03
Applicant: Aurora Operations, Inc.
Inventor： Charly Mario Walther , Nathan Steven Appelson , Jeffrey Allen Howell
Abstract: Systems and methods for autonomous vehicle testing are provided. In one example embodiment, a computer-implemented method includes obtaining, by a computing system, data indicative of a test of an autonomous vehicle computing system. The method can include determining, by the computing system, one or more autonomous vehicle capabilities that are tested by the test. The method includes determining, by the computing system, a testing scenario that corresponds to the test. The testing scenario can generated at least in part using real-world data. The method includes associating, by the computing system, the data indicative of the test with data indicative of the one or more autonomous vehicle capabilities that are tested by the test and data indicative of the testing scenario. The method includes storing such associated data in in an accessible memory.
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公开(公告)号：US12164064B2
公开(公告)日：2024-12-10
申请号：US18301503
申请日：2023-04-17
Applicant: Aurora Operations, Inc.
Inventor： James Allen Haslim , Michael Bryan Borden
IPC: G01S7/499 , B60W30/09 , B60W30/095 , B60W60/00 , G01S7/481 , G01S17/931 , G02B6/27
Abstract: A LIDAR system includes a plurality of LIDAR units. Each of the LIDAR units includes a housing defining a cavity. Each of the LIDAR units further includes a plurality of emitters disposed within the cavity. Each of the plurality of emitters is configured to emit a laser beam. The LIDAR system includes a rotating mirror and a retarder. The retarder is configurable in at least a first mode and a second mode to control a polarization state of a plurality of laser beams emitted from each of the plurality of LIDAR units. The LIDAR system includes a polarizing beam splitter positioned relative to the retarder such that the polarizing beam splitter receives a plurality of laser beams exiting the retarder. The polarizing beam is configured to transmit or reflect the plurality of laser beams exiting the retarder based on the polarization state of the laser beams exiting the retarder.
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