LIDAR system design to mitigate LIDAR cross-talk

    公开(公告)号:US12222457B2

    公开(公告)日:2025-02-11

    申请号:US18179019

    申请日:2023-03-06

    Inventor: Soren Juelsgaard

    Abstract: Aspects of the present disclosure involve systems, methods, and devices for mitigating Lidar cross-talk. Consistent with some embodiments, a Lidar system is configured to include one or more noise source detectors that detect noise signals that may produce noise in return signals received at the Lidar system. A noise source detector comprises a light sensor to receive a noise signal produced by a noise source and a timing circuit to provide a timing signal indicative of a direction of the noise source relative to an autonomous vehicle on which the Lidar system is mounted. A noise source may be an external Lidar system or a surface in the surrounding environment that is reflecting light signals such as those emitted by an external Lidar system.

    Systems and methods for deploying warning devices from an autonomous vehicle

    公开(公告)号:US12214724B2

    公开(公告)日:2025-02-04

    申请号:US17843278

    申请日:2022-06-17

    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.

    Object detection and property determination for autonomous vehicles

    公开(公告)号:US12205030B2

    公开(公告)日:2025-01-21

    申请号:US18497025

    申请日:2023-10-30

    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.

    Manufacturing process for semiconductor optical device for lidar sensor system

    公开(公告)号:US12199132B1

    公开(公告)日:2025-01-14

    申请号:US18658422

    申请日:2024-05-08

    Inventor: Lei Wang

    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.

    Deep structured scene flow for autonomous devices

    公开(公告)号:US12198358B2

    公开(公告)日:2025-01-14

    申请号:US17962624

    申请日:2022-10-10

    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.

    Systems and Methods for Simultaneous Localization and Mapping Using Asynchronous Multi-View Cameras

    公开(公告)号:US20250013235A1

    公开(公告)日:2025-01-09

    申请号:US18890881

    申请日:2024-09-20

    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.

    Systems and Methods for Autonomous Vehicle Motion Control and Motion Path Adjustments

    公开(公告)号:US20240425083A1

    公开(公告)日:2024-12-26

    申请号:US18754461

    申请日:2024-06-26

    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.

    MAP SELECTION FOR VEHICLE POSE SYSTEM

    公开(公告)号:US20240418514A1

    公开(公告)日:2024-12-19

    申请号:US18749093

    申请日:2024-06-20

    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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