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Detection of partially obstructed objects using context and depth order

机译:使用上下文和深度顺序检测部分阻碍的物体

摘要

A system and method for verifying detection of partially occluded objects (e.g., pedestrians) in the vicinity of a vehicle. An image input device captures an image and/or video of surroundings. An object detector detects partially occluded pedestrians and other objects in received image information. The detection of a partially occluded pedestrian is verified when a detection window of the partially occluded pedestrian overlaps with a detection window of an occluding object, and the occluding object window is closer to the image input device than the partially occluded object window. Optionally, a range-finding sensor, such as a LIDAR device, determines a range to objects located in the direction of the partially occluded object. The detection of the partially occluded object is verified when the range of one of the other objects located in the direction of the partially occluded object is less than that of the partially occluded object.
机译:用于验证车辆附近的部分封闭物体(例如行人)的检测的系统和方法。 图像输入设备捕获周围环境的图像和/或视频。 对象检测器在接收的图像信息中检测部分遮挡的行人和其他对象。 当与遮挡对象的检测窗口的局部封闭的行人重叠的检测窗口和封闭对象窗口更靠近图像输入设备时,验证了部分封闭的行人的检测。 可选地,诸如LIDAR设备的范围查找传感器,确定到位于部分封闭对象的方向上的对象的范围。 当位于部分封闭对象的方向的另一个物体的范围小于部分封闭对象的那个时,验证了部分遮挡的对象的检测。

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