DISTANCE ESTIMATION APPARATUS AND OPERATING METHOD THEREOF

    公开(公告)号:US20210042955A1

    公开(公告)日:2021-02-11

    申请号:US16987452

    申请日:2020-08-07

    Abstract: An apparatus, system, method, and/or non-transitory computer readable media of a distance estimation apparatus including at least one camera includes obtaining a bounding box corresponding to a target vehicle on the basis of an image obtained through the at least one camera, obtaining a first rectilinear distance to the target vehicle, obtaining a first world width on the basis of the first rectilinear distance and a width of the bounding box, obtaining a second ratio of a region, corresponding to a rear surface of the target vehicle, of a region of the bounding box on the basis of a first ratio, and calculating a second world width of the target vehicle on the basis of the second ratio, wherein the first ratio represents a ratio of the rear surface and a side surface of the target vehicle.

    APPARATUS AND METHOD FOR CHANGING ROUTE OF VEHICLE BASED ON EMERGENCY VEHICLE

    公开(公告)号:US20190039613A1

    公开(公告)日:2019-02-07

    申请号:US15996931

    申请日:2018-06-04

    Abstract: A traveling route changing apparatus included in a vehicle determines whether an emergency vehicle is present among nearby vehicles located around the vehicle, tracks a movement of the emergency vehicle, determines whether to change a traveling route of the vehicle such that the emergency vehicle travels without being obstructed by the vehicle, generates candidate routes to change the traveling route of the vehicle, evaluate a risk involved with each of the candidate routes, and control the vehicle based on a candidate route having a lowest risk. Thus, the vehicle may travel along a selected candidate route, and the emergency vehicle may travel without being obstructed by the vehicle.

    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 WITH LANE LINE DETERMINATION

    公开(公告)号:US20240119740A1

    公开(公告)日:2024-04-11

    申请号:US18184163

    申请日:2023-03-15

    CPC classification number: G06V20/588 G06V20/582

    Abstract: A processor-implemented method with lane line determination includes: determining, from an input image, road feature information comprising a surrounding object and a road surface marking comprising a lane line; matching the road feature information to lane lines of a driving road on which a vehicle is driving; detecting whether there is a change in a road structure based on a result of the matching, wherein the change in the road structure comprises any one or any combination of any two or more of a change of the lane line, a loss of the lane line, and a change of a road sign; and based on whether the change in the road structure is detected, determining lane line information of the driving road by using information on the surrounding object.

    METHOD AND APPARATUS FOR MAINTAINING A LANE
    9.
    发明申请

    公开(公告)号:US20190163993A1

    公开(公告)日:2019-05-30

    申请号:US16145700

    申请日:2018-09-28

    Abstract: Disclosed is a lane maintaining method and apparatus, the method includes determining a presence of a tunnel in front of a vehicle, detecting a first lighting pattern in the tunnel from a first front view image acquired from the vehicle before the vehicle enters the tunnel in response the tunnel being present, determining reference information on a current driving lane of the vehicle based on the first lighting pattern, detecting a second lighting pattern in the tunnel from a second front view image acquired after the vehicle enters the tunnel, and determining whether the vehicle departs from the current driving lane based on the second lighting pattern and the reference information.

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