MAP GENERATION APPARATUS
    432.
    发明公开

    公开(公告)号:US20230314162A1

    公开(公告)日:2023-10-05

    申请号:US18124518

    申请日:2023-03-21

    Inventor: Naoki Mori

    Abstract: A vehicle control apparatus includes a microprocessor configured to perform: extracting feature points from detection information detected by an in-vehicle detection unit; selecting feature points for which three-dimensional positions are to be calculated from extracted feature points; based on a plurality of detection information, calculating three-dimensional positions of same feature points in the plurality of detection information for the selected feature points using a position and posture of the in-vehicle detection unit; and generating a map including information of each of the three-dimensional positions using the calculated three-dimensional positions of the plurality of the feature points. The selecting includes selecting the feature points so as to reduce a bias in a number of feature points on objects located in a first distance range unit and a number of feature points on objects located in a second distance range farther than the first distance range.

    IMAGE PICKUP APPARATUS
    436.
    发明公开

    公开(公告)号:US20230308744A1

    公开(公告)日:2023-09-28

    申请号:US18185297

    申请日:2023-03-16

    Inventor: TAKAYUKI HOSHINA

    Abstract: An image pickup apparatus includes a first image sensor configured to perform imaging, and a control unit configured to perform precapture imaging, when acquiring a first imaging instruction, to cause the first image sensor to repeatedly perform imaging, and causes the first image sensor to perform main imaging when acquiring a second imaging instruction during the precapture imaging, and a first detecting unit configured to detect a change in a main object to be focused, and to output information about the change in the main object. The control unit changes control in the precapture imaging using the information about the change in the main object.

    COMPUTER-IMPLEMENTED METHOD, DATA PROCESSING APPARATUS AND COMPUTER PROGRAM FOR OBJECT DETECTION

    公开(公告)号:US20230298335A1

    公开(公告)日:2023-09-21

    申请号:US18101133

    申请日:2023-01-25

    CPC classification number: G06V10/82 G06V10/765 G06V2201/07

    Abstract: A computer-implemented method of training an object detector, the method comprising: training an embedding neural network using, as an input, cropped images from an image dataset, wherein training the embedding neural network is performed using a self-supervised learning approach and the trained embedding neural network translates input images into a lower dimensional representation; and training an object detector neural network by, for images of the image dataset, repeatedly: passing an image through the object detector neural network to obtain proposed coordinates of an object within the image, cropping the image to the proposed coordinates to obtain a cropped image, passing the cropped image through the trained embedding neural network to obtain a cropped image representation, passing an exemplar through the trained embedding neural network to obtain an exemplar representation, wherein the exemplar is a cropped manually labelled image bounding a known object, computing a distance in embedding space between the cropped image representation and the exemplar representation, computing a gradient of the cropped image representation and the exemplar representation with respect to the distance, and passing the gradient into the object detector neural network for use in backpropagation to optimise the object detector neural network.

Patent Agency Ranking