End-to-end object tracking using neural networks with attention

    公开(公告)号:US12175767B2

    公开(公告)日:2024-12-24

    申请号:US17715838

    申请日:2022-04-07

    Applicant: Waymo LLC

    Abstract: The described aspects and implementations enable efficient calibration of a sensing system of a vehicle. In one implementation, disclosed is a method and a system to perform the method, the system including the sensing system configured to obtain a plurality of images associated with a corresponding time of a plurality of times. The system further includes a data processing system operatively coupled to the sensing system and configured to generate a plurality of sets of feature tensors (FTs) associated with one or more objects of the environment depicted in a respective image. The data processing system is further to obtain a combined FT and process the combined FT using a neural network to identify one or more tracks characterizing motion of a respective object.

    END-TO-END OBJECT TRACKING USING NEURAL NETWORKS WITH ATTENTION

    公开(公告)号:US20250078927A1

    公开(公告)日:2025-03-06

    申请号:US18953053

    申请日:2024-11-19

    Applicant: Waymo LLC

    Abstract: The described aspects and implementations enable efficient calibration of a sensing system of a vehicle. In one implementation, disclosed is a method and a system to perform the method, the system including the sensing system configured to obtain a plurality of images associated with a corresponding time of a plurality of times. The system further includes a data processing system operatively coupled to the sensing system and configured to generate a plurality of sets of feature tensors (FTs) associated with one or more objects of the environment depicted in a respective image. The data processing system is further to obtain a combined FT and process the combined FT using a neural network to identify one or more tracks characterizing motion of a respective object.

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