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    • 2. 发明申请
    • Method and apparatus for refining target position and size estimates using image and depth data
    • 使用图像和深度数据来提炼目标位置和尺寸估计的方法和装置
    • US20050013465A1
    • 2005-01-20
    • US10617231
    • 2003-07-10
    • John SouthallDavid HirvonenTheodore Camus
    • John SouthallDavid HirvonenTheodore Camus
    • G06K9/00G06T7/00
    • G06K9/00624G06T7/55
    • A vehicle vision system that uses a depth map, image intensity data, and system calibration parameter to determine a target's dimensions and relative position. Initial target boundary information is projected onto the depth map and onto the image intensity. A visibility analysis determines whether the rear of a target is within the system's field of view. If so, the mapped image boundary is analyzed to determine an upper boundary of the target. Then, vertical image edges of the mapped image boundary are found by searching for a strongest pair of vertical image edges that are located at about the same depth. Then, the bottom of the mapped image boundary is found (or assumed from calibration parameters). Then, the target's position is found by an averaging technique. The height and width of the target are then computed.
    • 一种车辆视觉系统,其使用深度图,图像强度数据和系统校准参数来确定目标的尺寸和相对位置。 初始目标边界信息被投影到深度图和图像强度上。 可视性分析确定目标的后部是否在系统的视野内。 如果是,则分析映射的图像边界以确定目标的上边界。 然后,通过搜索位于大约相同深度的最强的一对垂直图像边缘来找到映射图像边界的垂直图像边缘。 然后,找到映射图像边界的底部(或从校准参数假设)。 然后,通过平均技术找到目标的位置。 然后计算目标的高度和宽度。
    • 4. 发明授权
    • Method and apparatus for detecting edges of an object
    • 用于检测物体边缘的方法和装置
    • US07697786B2
    • 2010-04-13
    • US11374732
    • 2006-03-14
    • Theodore CamusDavid Hirvonen
    • Theodore CamusDavid Hirvonen
    • G06K9/36G06K9/00G06K9/34G06K9/66G06K9/46
    • G06K9/3241G06K9/00805G06K2209/23
    • The present invention provides a system and method for detecting edges of an object in a pre-crash sensing environment. The method includes extracting vertical edges from peaks in an array of column sums of absolute values of normalized horizontal derivates computed in the intensity image. The pixels with corresponding range image depths proximate the estimated object's closest surface contribute the column sums. The search is conducted for all likely combinations of left/right edge pairs preferably within a pre-determined horizontal range about the object's detected center. The left/right edge pairs that delimit a width within the pre-determined range of possible widths for the object are selected. Alternatively, an additional search is performed on each pair of edges to support any angular or inward slant on the edges of the object.
    • 本发明提供一种用于在预碰撞感测环境中检测物体的边缘的系统和方法。 该方法包括从在强度图像中计算的归一化水平导数的绝对值的列和的数组中的峰中提取垂直边缘。 具有邻近估计对象最近表面的对应范围图像深度的像素贡献列和。 对于左/右边缘对的所有可能的组合优选地在关于对象检测到的中心的预定水平范围内进行搜索。 选择在对象的可能宽度的预定范围内界定宽度的左/右边缘对。 或者,对每对边缘执行附加搜索以支持物体边缘上的任何角度或向内倾斜。
    • 7. 发明申请
    • Method and apparatus for detecting edges of an object
    • 用于检测物体边缘的方法和装置
    • US20060245653A1
    • 2006-11-02
    • US11374732
    • 2006-03-14
    • Theodore CamusDavid Hirvonen
    • Theodore CamusDavid Hirvonen
    • G06K9/48
    • G06K9/3241G06K9/00805G06K2209/23
    • The present invention provides a system and method for detecting edges of an object in a pre-crash sensing environment. The method includes extracting vertical edges from peaks in an array of column sums of absolute values of normalized horizontal derivates computed in the intensity image. The pixels with corresponding range image depths proximate the estimated object's closest surface contribute the column sums. The search is conducted for all likely combinations of left/right edge pairs preferably within a pre-determined horizontal range about the object's detected center. The left/right edge pairs that delimit a width within the pre-determined range of possible widths for the object are selected. Alternatively, an additional search is performed on each pair of edges to support any angular or inward slant on the edges of the object.
    • 本发明提供一种用于在预碰撞感测环境中检测物体的边缘的系统和方法。 该方法包括从在强度图像中计算的归一化水平导数的绝对值的列和的数组中的峰中提取垂直边缘。 具有邻近估计对象最近表面的对应范围图像深度的像素贡献列和。 对于左/右边缘对的所有可能的组合优选地在关于对象检测到的中心的预定水平范围内进行搜索。 选择在对象的可能宽度的预定范围内界定宽度的左/右边缘对。 或者,对每对边缘执行附加搜索以支持物体边缘上的任何角度或向内倾斜。