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    Vehicular information systems and methods
    73.
    发明授权
    Vehicular information systems and methods 有权

    公开(公告)号：US11113966B2

    公开(公告)日：2021-09-07

    申请号：US17100478

    申请日：2020-11-20

    申请人： Rutgers, The State University of New Jersey

    发明人： Marco Gruteser ,  Suhas Mathur

    IPC分类号： G08G1/14 ,  B60Q9/00 ,  G08G1/01 ,  G06K9/00

    摘要： Disclosed is a method and system that receives sensor information from each of a plurality of sensors. Each sensor in the plurality is associated with a vehicle. The sensor information includes location coordinates of each vehicle in the plurality. The sensor information associated with each vehicle in the plurality then is translated to parking statistics information. In one embodiment, the translation is based on an aggregate of sensor information corresponding to the plurality of vehicles. The system then communicates parking statistics information to the vehicle.

    CORRECTING IMAGE BLUR IN MEDICAL IMAGE
    74.
    发明申请
    CORRECTING IMAGE BLUR IN MEDICAL IMAGE 有权

    公开(公告)号：US20210264574A1

    公开(公告)日：2021-08-26

    申请号：US17318363

    申请日：2021-05-12

    申请人： Rutgers, The State University of New Jersey

    发明人： Christine I. Podilchuk ,  Richard Mammone

    IPC分类号： G06T5/00 ,  G06T7/00 ,  G06T7/13 ,  G06T5/50

    摘要： A device to correct an image blur within a medical image is described. An image analysis application executed by the device receives the medical image from a medical image provider. Next, the image blur is detected within the medical image by analyzing the medical image. The medical image is subsequently processed with a deep learning model to correct the image blur. In response to the processing, a de-blurred medical image is generated. The de-blurred medical image is provided for a presentation or a continued analysis.

    Neural network-based object detection in visual input
    80.
    发明授权
    Neural network-based object detection in visual input 有权

    公开(公告)号：US11043297B2

    公开(公告)日：2021-06-22

    申请号：US16989625

    申请日：2020-08-10

    申请人： Rutgers, The State University of New Jersey

    发明人： Christine I. Podilchuk ,  Richard Mammone

    IPC分类号： G06K9/00 ,  G16H30/40 ,  A61B5/00 ,  A61B8/08 ,  G06T7/00 ,  G16H30/20 ,  G16H50/20 ,  G06K9/32 ,  G06N3/08

    摘要： A device to detect an object in a medical image is described. An image analysis application, executed by the device, receives the medical image as an input. The medical image is next partitioned to sub-regions. Parts of the object are detected in a selection of the sub-regions using a deep-learning neural network (DNN) model. Bounding boxes for the selection are also determined. The bounding boxes are evaluated based on a confidence score detected as above a threshold level. The confidence score designates the parts as contained within the selection. Next, a region of interest (ROI) is determined as a group including the selection. Similar orientations associated with the bounding boxes are comparable to similar orientations of a positive training model of the DNN model. Furthermore, the selection is designated as the ROI within the medical image. The medical image is provided with the ROI to a user.