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    CLOSED-LOOP LASER-WELD ASSEMBLIES
    13.
    发明申请
    CLOSED-LOOP LASER-WELD ASSEMBLIES 有权

    公开(公告)号：US20250153275A1

    公开(公告)日：2025-05-15

    申请号：US18505600

    申请日：2023-11-09

    Applicant: GM Global Technology Operations LLC

    Inventor： Huaxin Li ,  Pankaj Kumar Jha ,  Kaushik Kalita ,  Yi Liu ,  Qigui Wang ,  Lala Ram Patel ,  Masoud MohammadPour

    IPC: B23K26/26 ,  F16B5/08

    Abstract: Systems, methods, and assemblies for forming or employing closed-loop laser-welds are described. Closed-loop laser-welds may be formed by, for example, actuating a laser on a substrate at a first point to initiate a weld and scanning the laser along a starting weld path, along a main weld path, and along an ending weld path. The starting weld path is from the first point to a second point. The main weld path is from the second point to a third point. The ending weld path is from the third point to a fourth point. The laser is scanned from the second point to the third point such that a bead of the main weld path defines an inner perimeter and an outer perimeter. The outer perimeter defines a closed-loop laser weld. The first point and the fourth points are within the inner perimeter.

    Vehicle systems and methods for autonomous operation using driver attention
    15.
    发明授权
    Vehicle systems and methods for autonomous operation using driver attention 有权

    公开(公告)号：US12296854B2

    公开(公告)日：2025-05-13

    申请号：US17813721

    申请日：2022-07-20

    Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC

    Inventor： Christopher Michael Churay ,  Paul A Adam ,  Reza Zarringhalam ,  Milad Jalaliyazdi

    IPC: B60W60/00 ,  B60W30/18 ,  B60W40/08

    Abstract: Vehicles and related systems and methods are provided for controlling a vehicle in an autonomous operating mode. One method involves a controller associated with a vehicle identifying a visual attention state associated with a driver of the vehicle based at least in part on output of an imaging device onboard the vehicle, determining, based at least in part on the visual attention state, a driver lane preference corresponding to an adjacent lane in a visual attention direction relative to a current lane of travel for the vehicle, adjusting a priority associated with the adjacent lane corresponding to the driver lane preference and autonomously operating one or more actuators onboard the vehicle to initiate maneuvering the vehicle from the current lane in a manner that is influenced by the adjusted priority associated with the adjacent lane.

    Learning-model predictive control with multi-step prediction for vehicle motion control
    16.
    发明授权
    Learning-model predictive control with multi-step prediction for vehicle motion control 有权

    公开(公告)号：US12296839B2

    公开(公告)日：2025-05-13

    申请号：US18060023

    申请日：2022-11-30

    Applicant: GM Global Technology Operations LLC ,  University of Waterloo

    Inventor： Amir Khajepour ,  Chao Yu ,  Yubiao Zhang ,  Qingrong Zhao ,  SeyedAlireza Kasaiezadeh Mahabadi

    IPC: B60W50/10 ,  B60W40/10 ,  B60W50/00

    Abstract: A system for learning-model predictive control (LMPC) with multi-step prediction for motion control of a vehicle includes sensors and actuators. One or more control modules each having a processor, a memory, and input/output (I/O) ports are in communication with the sensors and actuators, the processor executing program code portions stored in the memory. The program code portions cause the sensors and actuators to obtain vehicle state information, receive a driver input, and generate a desired dynamic output based on the driver input and the vehicle state information. A program code portion estimates actions of the actuators based on the vehicle state information and the driver input, and utilizes the vehicle state information, the driver input, and the estimated actions of the actuators to select one or more models of a physics-based vehicle model and a machine-learning model of the vehicle to selectively adjust commands to the actuators.

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