HIGH ACCURACY MONOCULAR MOVING OBJECT LOCALIZATION
    1.
    发明申请
    HIGH ACCURACY MONOCULAR MOVING OBJECT LOCALIZATION 有权
    高精度单相移动物体定位

    公开(公告)号:US20150254834A1

    公开(公告)日:2015-09-10

    申请号:US14639536

    申请日:2015-03-05

    Abstract: Methods and systems for moving object localization include estimating a ground plane in a video frame based on a detected object within the video frame and monocular structure-from-motion (SFM) information; computing object pose for objects in the frame based on the SFM information using dense feature tracking; and determining a three-dimensional location for the detected object based on the estimated ground plane and the computed object pose.

    Abstract translation: 用于移动对象定位的方法和系统包括基于视频帧内的检测对象和单目动作(SFM)信息来估计视频帧中的接地平面; 基于使用密集特征跟踪的SFM信息计算帧中对象的物体姿态; 以及基于估计的接地平面和所计算的物体姿态来确定被检测物体的三维位置。

    REAL-TIME MONOCULAR STRUCTURE FROM MOTION
    2.
    发明申请
    REAL-TIME MONOCULAR STRUCTURE FROM MOTION 审中-公开
    运动中的实时单轨结构

    公开(公告)号:US20140139635A1

    公开(公告)日:2014-05-22

    申请号:US13858041

    申请日:2013-04-06

    Abstract: Systems and methods are disclosed for multithreaded navigation assistance by acquired with a single camera on-board a vehicle; using 2D-3D correspondences for continuous pose estimation; and combining the pose estimation with 2D-2D epipolar search to replenish 3D points.

    Abstract translation: 公开了通过用车上单个摄像机采集的用于多线程导航辅助的系统和方法; 使用2D-3D对应连续姿态估计; 并将姿态估计与2D-2D对极搜索相结合,以补充3D点。

    Robust scale estimation in real-time monocular SFM for autonomous driving
    3.
    发明授权
    Robust scale estimation in real-time monocular SFM for autonomous driving 有权
    用于自主驾驶的实时单目SFM的鲁棒尺度估计

    公开(公告)号:US09189689B2

    公开(公告)日:2015-11-17

    申请号:US14451280

    申请日:2014-08-04

    CPC classification number: G06K9/00791 G06K9/46 G06K2009/4666

    Abstract: A method for performing three-dimensional (3D) localization requiring only a single camera including capturing images from only one camera; generating a cue combination from sparse features, dense stereo and object bounding boxes; correcting for scale in monocular structure from motion (SFM) using the cue combination for estimating a ground plane; and performing localization by combining SFM, ground plane and object bounding boxes to produce a 3D object localization.

    Abstract translation: 一种用于执行三维(3D)定位的方法,其仅需要单个相机,包括仅从一个相机捕获图像; 从稀疏特征,密集的立体声和物体边界框中产生提示组合; 使用用于估计接地平面的提示组合来校正来自运动的单眼结构(SFM)中的尺度; 并通过组合SFM,地平面和对象边界框来执行定位,以产生3D对象定位。

    High accuracy monocular moving object localization
    4.
    发明授权
    High accuracy monocular moving object localization 有权
    高精度单目移动物体定位

    公开(公告)号:US09367922B2

    公开(公告)日:2016-06-14

    申请号:US14639536

    申请日:2015-03-05

    Abstract: Methods and systems for moving object localization include estimating a ground plane in a video frame based on a detected object within the video frame and monocular structure-from-motion (SFM) information; computing object pose for objects in the frame based on the SFM information using dense feature tracking; and determining a three-dimensional location for the detected object based on the estimated ground plane and the computed object pose.

    Abstract translation: 用于移动对象定位的方法和系统包括基于视频帧内的检测对象和单目动作(SFM)信息来估计视频帧中的接地平面; 基于使用密集特征跟踪的SFM信息计算帧中对象的物体姿态; 以及基于估计的接地平面和所计算的物体姿态来确定被检测物体的三维位置。

    REAL-TIME MONOCULAR VISUAL ODOMETRY
    5.
    发明申请
    REAL-TIME MONOCULAR VISUAL ODOMETRY 有权
    实时单视觉视差

    公开(公告)号:US20140078258A1

    公开(公告)日:2014-03-20

    申请号:US13858040

    申请日:2013-04-06

    Abstract: Systems and methods are disclosed for multithreaded visual odometry by acquired with a single camera on-board a vehicle; using 2D-3D correspondences for continuous pose estimation; and combining the pose estimation with 2D-2D epipolar search to replenish 3D points.

    Abstract translation: 公开了通过用车上单个摄像机采集的用于多线程视觉测距的系统和方法; 使用2D-3D对应连续姿态估计; 并将姿态估计与2D-2D对极搜索相结合,以补充3D点。

    Robust Scale Estimation in Real-Time Monocular SFM for Autonomous Driving
    7.
    发明申请
    Robust Scale Estimation in Real-Time Monocular SFM for Autonomous Driving 有权
    用于自主驾驶的实时单目SFM的鲁棒尺度估计

    公开(公告)号:US20150117709A1

    公开(公告)日:2015-04-30

    申请号:US14451280

    申请日:2014-08-04

    CPC classification number: G06K9/00791 G06K9/46 G06K2009/4666

    Abstract: A method for performing three-dimensional (3D) localization requiring only a single camera including capturing images from only one camera; generating a cue combination from sparse features, dense stereo and object bounding boxes; correcting for scale in monocular structure from motion (SFM) using the cue combination for estimating a ground plane; and performing localization by combining SFM, ground plane and object bounding boxes to produce a 3D object localization.

    Abstract translation: 一种用于执行三维(3D)定位的方法,其仅需要单个相机,包括仅从一个相机捕获图像; 从稀疏特征,密集的立体声和物体边界框中产生提示组合; 使用用于估计接地平面的提示组合来校正来自运动的单眼结构(SFM)中的尺度; 并通过组合SFM,地平面和对象边界框来执行定位,以产生3D对象定位。

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