GENERATIVE ARTIFICIAL INTELLIGENCE BASED TRAJECTORY SIMULATION

    公开(公告)号:US20250166364A1

    公开(公告)日:2025-05-22

    申请号:US18518222

    申请日:2023-11-22

    Applicant: TuSimple, Inc.

    Abstract: Devices, systems, and methods a method for simulating a trajectory of an object are described. An example method includes obtaining a context feature representation corresponding to context information, wherein the context information comprises information describing an environment of the object; obtaining a control feature representation corresponding to control information, wherein the control information comprises information that the simulated trajectory needs to satisfy; determining a latent variable using an input encoder based on the context feature representation and the control feature representation; and determining the simulated trajectory by inputting the latent variable, the context feature representation, and the control feature representation into a decoder.

    TRANSFORMER FRAMEWORK FOR TRAJECTORY PREDICTION

    公开(公告)号:US20250085115A1

    公开(公告)日:2025-03-13

    申请号:US18501362

    申请日:2023-11-03

    Applicant: TuSimple, Inc.

    Abstract: A computer-implemented method of trajectory prediction includes obtaining a first cross-attention between a vectorized representation of a road map near a vehicle and information obtained from a rasterized representation of an environment near the vehicle by processing through a first cross-attention stage; obtaining a second cross-attention between a vectorized representation of a vehicle history and information obtained from the rasterized representation by processing through a second cross-attention stage; operating a scene encoder on the first cross-attention and the second cross-attention; operating a trajectory decoder on an output of the scene encoder; obtaining one or more trajectory predictions by performing one or more queries on the trajectory decoder.

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