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    OUT-OF-DISTRIBUTION DETECTION USING A NEURAL NETWORK
    21.
    发明公开
    OUT-OF-DISTRIBUTION DETECTION USING A NEURAL NETWORK 审中-公开

    公开(公告)号：US20230298322A1

    公开(公告)日：2023-09-21

    申请号：US18325436

    申请日：2023-05-30

    Applicant: Intel Corporation

    Inventor： Ibrahima Ndiour ,  Nilesh Ahuja ,  Ranganath Krishnan ,  Mahesh Subedar ,  Omesh Tickoo ,  Ergin Genc

    IPC: G06V10/77 ,  G06V10/82 ,  G06V10/80

    CPC classification number: G06V10/7715 ,  G06V10/82 ,  G06V10/80

    Abstract: Features extracted from one or more layers of a trained deep neural network (DNN) are used to detect out-of-distribution (OOD) data, such as anomalies. An OOD detection process includes transforming a feature output from a layer of the DNN from a relatively high-dimensional feature space to a lower-dimensional space, and then performing a reverse transformation back to the higher-dimensional feature space, resulting in a reconstructed feature. A feature reconstruction error is calculated based on a difference between the reconstructed feature and the original feature output from the DNN. The OOD detection process may further include calculating a score based on the feature reconstruction error and generating a visual representation of the feature reconstruction error.

    Potential collision warning system based on road user intent prediction
    23.
    发明授权
    Potential collision warning system based on road user intent prediction 有权

    公开(公告)号：US11345342B2

    公开(公告)日：2022-05-31

    申请号：US16586665

    申请日：2019-09-27

    Applicant: Intel Corporation

    Inventor： David Gomez Gutierrez ,  Javier Felip Leon ,  Kshitij A. Doshi ,  Leobardo E. Campos Macias ,  Nilesh Amar Ahuja ,  Omesh Tickoo

    IPC: B60W30/095 ,  B60W50/14 ,  G06V20/58 ,  G06V40/10

    Abstract: An apparatus comprising a memory to store an observed trajectory of a pedestrian, the observed trajectory comprising a plurality of observed locations of the pedestrian over a first plurality of timesteps; and a processor to generate a predicted trajectory of the pedestrian, the predicted trajectory comprising a plurality of predicted locations of the pedestrian over the first plurality of timesteps and over a second plurality of timesteps occurring after the first plurality of timesteps; determine a likelihood of the predicted trajectory based on a comparison of the plurality of predicted locations of the pedestrian over the first plurality of timesteps and the plurality of observed locations of the pedestrian over the first plurality of timesteps; and responsive to the determined likelihood of the predicted trajectory, provide information associated with the predicted trajectory to a vehicle to warn the vehicle of a potential collision with the pedestrian.

    METHODS AND APPARATUS TO FACILITATE CONTINUOUS LEARNING
    24.
    发明申请
    METHODS AND APPARATUS TO FACILITATE CONTINUOUS LEARNING 有权

    公开(公告)号：US20210117792A1

    公开(公告)日：2021-04-22

    申请号：US17132858

    申请日：2020-12-23

    Applicant: Intel Corporation

    Inventor： Nilesh Ahuja ,  Mahesh Subedar ,  Ranganath Krishnan ,  Ibrahima Ndiour ,  Omesh Tickoo

    IPC: G06N3/08 ,  G06N3/04 ,  G06F7/58

    Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to facilitate continuous learning. An example apparatus includes a trainer to train a first Bayesian neural network (BNN) and a second BNN, the first BNN associated with a first weight distribution and the second BNN associated with a second weight distribution. The example apparatus includes a weight determiner to determine a first sampling weight associated with the first BNN and a second sampling weight associated with the second BNN. The example apparatus includes a network sampler to sample at least one of the first weight distribution or the second weight distribution based on a pseudo-random number, the first sampling weight, and the second sampling weight. The example apparatus includes an inference controller to generate an ensemble weight distribution based on the sample.

    AUTOMATED MACHINE COLLABORATION
    26.
    发明申请
    AUTOMATED MACHINE COLLABORATION 有权

    公开(公告)号：US20210107153A1

    公开(公告)日：2021-04-15

    申请号：US17130030

    申请日：2020-12-22

    Applicant: Intel Corporation

    Inventor： Rajesh Poornachandran ,  Omesh Tickoo ,  Anahit Tarkhanyan ,  Vinayak Honkote ,  Stanley Mo

    IPC: B25J9/16 ,  B25J13/00

    Abstract: According to various aspects, controller for an automated machine may include: a processor configured to: compare information about a function of the automated machine with information of a set of tasks available to a plurality of automated machines; negotiate, with the other automated machines of the plurality of automated machines and based on a result of the comparison, which task of the set of tasks is allocated to the automated machine.

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