Determining Ego Motion
    1.
    发明公开

    公开(公告)号:US20240019566A1

    公开(公告)日:2024-01-18

    申请号:US18353661

    申请日:2023-07-17

    CPC classification number: G01S13/60 G01S13/89 G01S13/931 G01S7/417

    Abstract: A computer implemented method to determine ego motion of a vehicle, the vehicle having at least one radar emitter with a plurality of reception antennae, the method including the operations of acquiring, from the reception antennae, different frames of radar data of the vehicle surrounding environment, each frame being acquired at a different time; deriving from the radar data of each different frame, an environment map of the vehicle surrounding environment; and deriving the ego motion of the vehicle by: merging environment maps from at least two different frames into one accumulated map, computing, from the accumulated map, a motion vector for each pixel of the accumulated map, and extracting, from the accumulated map, a mask map including a tensor mapping a weight for each pixel of the accumulated map.

    Motion Compensation and Refinement in Recurrent Neural Networks

    公开(公告)号:US20220269921A1

    公开(公告)日:2022-08-25

    申请号:US17649791

    申请日:2022-02-02

    Abstract: Provided is a method and system for tracking a motion of information in a spatial environment of a vehicle. Sensor-based data regarding the spatial environment is acquired for a plurality of timesteps, the sensor-based data defining the information in spatially resolved cells. For each of the timesteps, the sensor-based data is input into a recurrent neural network, RNN, having one or more internal memory states. For each of the timesteps, the internal states of the RNN are transformed by using a motion map describing a speed and/or a direction of motion of the information of the spatially resolved cells individually. For each of the plurality of timesteps, the transformed internal states are used in a processing of the RNN to track the motion of the information in the environment of the moving vehicle.

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