LOCALIZATION SYSTEM AND METHOD
    1.
    发明申请

    公开(公告)号:US20220111526A1

    公开(公告)日:2022-04-14

    申请号:US17555552

    申请日:2021-12-20

    Abstract: A localization system includes a first sensor, configured to detect a vibration and generate a first electrical signal in response to the detection of the vibration; a second sensor, configured to detect a vibration and generate a second electrical signal in response to the detection of the vibration; a third sensor, configured to detect a vibration and generate a third electrical signal in response to the detection of the vibration; and
    a processor, configured to determine a position of a source of the vibration based on the first electrical signal, the second electrical signal, and the third electrical signal.

    SAFETY SYSTEM FOR A VEHICLE
    5.
    发明申请

    公开(公告)号:US20230077618A1

    公开(公告)日:2023-03-16

    申请号:US17941044

    申请日:2022-09-09

    Abstract: A safety system for a vehicle may include one or more processors configured to determine, based on a friction prediction model, one or more predictive friction coefficients between the ground and one or more tires of the ground vehicle using first ground condition data and second ground condition data. The first ground condition data represent conditions of the ground at or near the position of the ground vehicle, and the second ground condition data represent conditions of the ground in front of the ground vehicle with respect to a driving direction of the ground vehicle. The one or more processors are further configured to determine driving conditions of the ground vehicle using the determined one or more predictive friction coefficients.

    REAL-TIME PREDICTOR OF HUMAN MOVEMENT IN SHARED WORKSPACES

    公开(公告)号:US20230048578A1

    公开(公告)日:2023-02-16

    申请号:US17953344

    申请日:2022-09-27

    Abstract: Disclosed herein are systems, devices, and methods for real-time determinations of likelihoods for possible trajectories of a collaborator in a workspace with a robot. The system determines a current kinematic state of the collaborator and determines a goal of the collaborator based on occupancy information about objects in the workspace. The system also determines a possible trajectory for the collaborator based on the goal and the current kinematic state and determines a short-horizon trajectory for the collaborator based on previously observed kinematic states of the collaborator towards the goal. The system also determines a likelihood that the collaborator will follow the possible trajectory based on the short-horizon trajectory, the goal, and the current kinematic state. The system also generates a movement instruction to control movement of the robot based on the likelihood that the collaborator will follow the possible trajectory.

    DISAMBIGUATION OF VEHICLE NAVIGATION ACTIONS

    公开(公告)号:US20210403031A1

    公开(公告)日:2021-12-30

    申请号:US17471199

    申请日:2021-09-10

    Abstract: An autonomous vehicle (AV) system may include a memory having computer-readable instructions stored thereon. The AV system may include a processor operatively coupled to the memory and configured to read and execute the computer-readable instructions to perform or control performance of operations. The operations may include receive an instruction text vector representative of a command for an AV provided by a user. The operations may include receive an environment text vector representative of a spatio-temporal feature of an environment of the AV. The operations may include generate a sense set that includes words based on the instruction text vector and the environment text vector. The operations may include compare the words of the sense set to navigational instructions (NIs) within a corpus and identify a NI that corresponds to the words based on the comparison. The operations may also include update a trajectory of the AV based on the NI.

    SYSTEMS, METHODS, AND DEVICES FOR HEAD POSE DETERMINATION

    公开(公告)号:US20210279506A1

    公开(公告)日:2021-09-09

    申请号:US17191718

    申请日:2021-03-04

    Abstract: Estimating a head pose may include obtaining sensor data corresponding to a head and at least a portion of the body of a human subject and determining an estimate of a three-dimensional (3D) body pose using the obtained sensor data. The estimation can further include generating a first rendering of at least the human subject's head using the obtained sensor data and generating a plurality of head pose sample data sets by applying the estimated 3D body pose to a head-pose generative model. Further, the head pose estimation can include generating a plurality of second renderings respectively from each of the plurality of head pose sample data sets; determining which of the plurality of second renderings is closest to the first rendering; and selecting the second rendering determined to be closest to the first rendering.

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