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    • 1. 发明授权
    • Determining angular rate for line-of-sight to a moving object, with a body-fixed imaging sensor
    • 使用身体固定的成像传感器确定移动物体的视线角度
    • US08946606B1
    • 2015-02-03
    • US12660490
    • 2010-02-26
    • John Charles DennisonClayton Houston DavisBrian Edward Frazier
    • John Charles DennisonClayton Houston DavisBrian Edward Frazier
    • F41G7/22F41G9/00F42B15/01F41G7/00F42B15/00
    • F41G7/2286F41G7/2246F41G7/2253F41G7/2293F42B15/01G01C21/20G01C21/3602G01S3/784G01S11/12G01S13/89G01S17/89G06T7/269G06T7/70G06T2207/10016G06T2207/30212G06T2207/30252
    • Apparatus/method estimate LOS rotation, to track, approach, pursue, intercept or avoid objects. Vehicle-fixed imagers approach/recede-from objects, recording image series with background. Computations, from images exclusively, estimate rotation vs. the vehicle, applying the estimate. Preferably, recording/estimating provide proportional navigation; scan mirrors extend strapdown-sensor FOR; applying includes measuring “range rate over range”, exclusively from interimage optical flow, using results to optimize proportional-navigation loop gain; estimating includes evaluating interframe optical flow, preregistering roughly as first approximation, selecting sequence anchor points, and applying a second, finer technique developing output registration that's a coordinate translation, aligning inertial surroundings. The approximation operates optical flow with efficient embedded registration/mapping, applying a homography matrix to nearby imagery. Alternatively, inexpensive low-quality inertial sensors establish preregistration, deriving a homography matrix. When contrast in the object direction is inadequate, dual sensors yield accurate virtual imaging with an object centroid superposed into background.
    • 仪器/方法估计LOS旋转,跟踪,接近,追踪,拦截或避免物体。 车载固定摄像机接近/离开对象,录制带有背景的影像系列。 计算,从图像专门估计旋转与车辆,应用估计。 优选地,记录/估计提供比例导航; 扫描镜延伸伸缩传感器FOR; 应用包括测量“范围速率超范围”,专门从平面图像光流,使用结果来优化比例导航环路增益; 估计包括评估帧间光流,大致预先注册为第一近似,选择序列锚点,以及应用第二更精细的技术开发作为坐标平移的输出注册,对准惯性环境。 近似运算通过有效的嵌入式注册/映射来操作光流,将单应性矩阵应用于附近的图像。 或者,廉价的低质量惯性传感器建立预注册,导出单应性矩阵。 当对象方向的对比度不足时,双传感器产生准确的虚拟成像,并将物体重心叠加到背景中。