DEVICE AND METHOD WITH CAMERA POSE ESTIMATION

    公开(公告)号:US20240169562A1

    公开(公告)日:2024-05-23

    申请号:US18464654

    申请日:2023-09-11

    CPC classification number: G06T7/248 G06T7/74 G06T2207/20084

    Abstract: Disclosed are a device and method with pose estimation. A method of operating an electronic device includes: obtaining monocular images captured at different respective points in time by a same camera; estimating, based on a neural network, a position change of the camera corresponding to the time between the points in time at which the images were captured; and estimating a position and/or orientation of the camera based on the estimated position change of the camera and based on the images.

    METHOD AND APPARATUS FOR OPERATING AUTONOMOUS DRIVING CONTROLLER OF VEHICLE

    公开(公告)号:US20180059664A1

    公开(公告)日:2018-03-01

    申请号:US15623923

    申请日:2017-06-15

    Inventor: Cheolhun JANG

    Abstract: Provided is a method and apparatus for operating an autonomous driving controller, the method including generating route information for the vehicle based on a rule, transitioning from an autonomous driving mode to an autonomous driving disable mode, in response to the driving route information not being generated for an amount of time greater than or equal to a threshold, tracking at least one neighboring vehicle based on data sensed by a sensor, and generating temporary driving route information based on a movement of the at least one neighboring vehicle.

    IMAGE PROCESSING METHOD AND APPARATUS WITH NEURAL NETWORK ADJUSTMENT

    公开(公告)号:US20210334609A1

    公开(公告)日:2021-10-28

    申请号:US17368917

    申请日:2021-07-07

    Abstract: A method and apparatus for adjusting a neural network that classifies a scene of an input image into at least one class is provided. The method generates a feature image having a size that is less than a size of an input image by applying a convolutional network to the input image, determines at least one class corresponding to the feature image, generates a class image having a size corresponding to the size of the input image by applying a deconvolutional network to the feature image, calculates a loss of the class image based on a verification class image preset with respect to the input image, and adjusts the neural network based on the loss.

    METHOD AND APPARATUS FOR CONTROLLING DRIVING OF VEHICLE

    公开(公告)号:US20190049964A1

    公开(公告)日:2019-02-14

    申请号:US15833595

    申请日:2017-12-06

    Abstract: A method and apparatus to control driving of a vehicle is provided. To control driving of a vehicle, the method and apparatus obtain traffic information related to an intersection in response to a position of the vehicle being at a predetermined proximity to the intersection, and obtain driving information related to another vehicle driving in front of and in the same direction as the vehicle. the vehicle by determining whether the vehicle is to enter the intersection based on the traffic information and the driving information.

    LANE DETECTION METHOD AND APPARATUS
    10.
    发明申请

    公开(公告)号:US20190050993A1

    公开(公告)日:2019-02-14

    申请号:US15892525

    申请日:2018-02-09

    Inventor: Cheolhun JANG

    Abstract: A lane detection method and apparatus is disclosed. The lane detection apparatus may set a regions of interest (ROIs) in a forward-view image of a vehicle obtained by a camera, estimate lane pixels corresponding to a lane from each of the ROIs using a neural network-based detector, and determine a lane region in the forward-view image based on the lane pixels.

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