中科微点-全球专利检索

  1. Login
  2. Sign Up

Search Results

7 records (took 0.013 seconds)

    Systems and Methods for Sensor Data Processing and Object Detection and Motion Prediction for Robotic Platforms
    1.
    发明申请
    Systems and Methods for Sensor Data Processing and Object Detection and Motion Prediction for Robotic Platforms 有权

    公开(公告)号：US20240369977A1

    公开(公告)日：2024-11-07

    申请号：US18656210

    申请日：2024-05-06

    Applicant: Aurora Operations, Inc.

    Inventor： Abhishek Mohta ,  Fang-Chieh Chou ,  Carlos Vallespi-Gonzalez ,  Brian C. Becker ,  Nemanja Djuric

    IPC: G05B13/02 ,  B60W50/00 ,  B60W60/00

    Abstract: Systems and methods are disclosed for detecting and predicting the motion of objects within the surrounding environment of a system such as an autonomous vehicle. For example, an autonomous vehicle can obtain sensor data from a plurality of sensors comprising at least two different sensor modalities (e.g., RADAR, LIDAR, camera) and fused together to create a fused sensor sample. The fused sensor sample can then be provided as input to a machine learning model (e.g., a machine learning model for object detection and/or motion prediction). The machine learning model can have been trained by independently applying sensor dropout to the at least two different sensor modalities. Outputs received from the machine learning model in response to receipt of the fused sensor samples are characterized by improved generalization performance over multiple sensor modalities, thus yielding improved performance in detecting objects and predicting their future locations, as well as improved navigation performance.

    Autonomous vehicle blind spot management
    3.
    发明授权
    Autonomous vehicle blind spot management 有权

    公开(公告)号：US12296856B2

    公开(公告)日：2025-05-13

    申请号：US18046839

    申请日：2022-10-14

    Applicant: Aurora Operations, Inc.

    Inventor： Nemanja Djuric ,  Shivam Gautam ,  Abhishek Mohta

    IPC: B60W60/00

    Abstract: Various examples are directed to systems and methods for controlling an autonomous vehicle comprising a tractor and a trailer. For example, a system may determine that a line from a position of a first sensor on the autonomous vehicle to a position of a first actor in an environment of the autonomous vehicle intersects the trailer. The system may determine that the first actor is in a blind spot of the autonomous vehicle, generate a motion plan for the autonomous vehicle, and control the autonomous vehicle in accordance with the motion plan.

    Systems and methods for sensor data processing and object detection and motion prediction for robotic platforms
    6.
    发明授权
    Systems and methods for sensor data processing and object detection and motion prediction for robotic platforms 有权

    公开(公告)号：US12259694B2

    公开(公告)日：2025-03-25

    申请号：US18656210

    申请日：2024-05-06

    Applicant: Aurora Operations, Inc.

    Inventor： Abhishek Mohta ,  Fang-Chieh Chou ,  Carlos Vallespi-Gonzalez ,  Brian C. Becker ,  Nemanja Djuric

    IPC: G05B13/02 ,  B60W50/00 ,  B60W60/00

    Abstract: Systems and methods are disclosed for detecting and predicting the motion of objects within the surrounding environment of a system such as an autonomous vehicle. For example, an autonomous vehicle can obtain sensor data from a plurality of sensors comprising at least two different sensor modalities (e.g., RADAR, LIDAR, camera) and fused together to create a fused sensor sample. The fused sensor sample can then be provided as input to a machine learning model (e.g., a machine learning model for object detection and/or motion prediction). The machine learning model can have been trained by independently applying sensor dropout to the at least two different sensor modalities. Outputs received from the machine learning model in response to receipt of the fused sensor samples are characterized by improved generalization performance over multiple sensor modalities, thus yielding improved performance in detecting objects and predicting their future locations, as well as improved navigation performance.

    Tracking of Articulated Vehicles
    7.
    发明申请
    Tracking of Articulated Vehicles 有权

    公开(公告)号：US20240383485A1

    公开(公告)日：2024-11-21

    申请号：US18320340

    申请日：2023-05-19

    Applicant: Aurora Operations, Inc.

    Inventor： Nemanja Djuric ,  Cuichun Xu

    IPC: B60W40/10 ,  B60W60/00

    Abstract: Systems and methods for improved tracking of articulated vehicles can obtain, through one or more sensor systems onboard a vehicle, sensor data descriptive of an environment of the vehicle, the environment including an articulated vehicle having at least a first portion and a second portion; generate based on the sensor data, first state data for the first portion of the articulated vehicle and second state data for the second portion of the articulated vehicle; determine an articulated vehicle relationship between the first portion and the second portion based on the first state data for the first portion and the second state data for the second portion; generate, using an articulated vehicle motion model, synthetic motion data for the second portion based on the first state data for the first portion; and update the second state data of the second portion based on the synthetic motion data.

Patent Agency Ranking