Neuromorphic signal processing device and method for locating sound source using a plurality of neuron circuits
    21.
    发明授权
    Neuromorphic signal processing device and method for locating sound source using a plurality of neuron circuits 有权
    神经元信号处理装置和使用多个神经元电路定位声源的方法

    公开(公告)号:US09361576B2

    公开(公告)日:2016-06-07

    申请号:US13912667

    申请日:2013-06-07

    CPC classification number: G06N3/049 G01S3/8006 G01S3/808 G06N3/063

    Abstract: Provided is a neuromorphic signal processing device for locating a sound source using a plurality of neuron circuits, the neuromorphic signal processing device including a detector configured to output a detected spiking signal using a detection neuron circuit corresponding to a predetermined time difference, in response to a first signal and a second signal containing an identical input spiking signal with respect to the predetermined time difference, for each of a plurality of predetermined frequency bands, a multiplexor configured to output a multiplexed spiking signal corresponding to the predetermined time difference based on a plurality of the detected spiking signals output from a plurality of neuron circuits corresponding to the plurality of frequency bands, and an integrator configured to output an integrated spiking signal corresponding to the predetermined time difference, based on a plurality of the multiplexed spiking signals corresponding to a plurality of predetermined time differences.

    Abstract translation: 提供了一种用于使用多个神经元电路定位声源的神经形态信号处理装置,所述神经形态信号处理装置包括检测器,其被配置为使用与预定时间差对应的检测神经元电路来输出检测到的尖峰信号,响应于 第一信号和对于多个预定频带中的每一个包含相对于预定时间差相同的输入尖峰信号的第二信号;多路复用器,被配置为基于多个预定频带输出与预定时间差相对应的多路复用尖峰信号 从多个对应于多个频带的多个神经电路输出的检测到的尖峰信号,以及积分器,被配置为基于与多个频带相对应的多个多路复用信号,输出与该预定时间差对应的积分尖峰信号 预定t ime差异。

    Multiscale weighted matching and sensor fusion for dynamic vision sensor tracking

    公开(公告)号:US10733760B2

    公开(公告)日:2020-08-04

    申请号:US16597846

    申请日:2019-10-09

    Abstract: A Dynamic Vision Sensor (DVS) pose-estimation system includes a DVS, a transformation estimator, an inertial measurement unit (IMU) and a camera-pose estimator based on sensor fusion. The DVS detects DVS events and shapes frames based on a number of accumulated DVS events. The transformation estimator estimates a 3D transformation of the DVS camera based on an estimated depth and matches confidence-level values within a camera-projection model such that at least one of a plurality of DVS events detected during a first frame corresponds to a DVS event detected during a second subsequent frame. The IMU detects inertial movements of the DVS with respect to world coordinates between the first and second frames. The camera-pose estimator combines information from a change in a pose of the camera-projection model between the first frame and the second frame based on the estimated transformation and the detected inertial movements of the DVS.

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