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Measuring Approach of Projectile Landing Parameters Based on Binocular Vision Model

机译:基于双目视觉模型的弹丸着陆参数测量方法

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The purpose of this study is to find multi-projectiles parameters such as pose, velocity and trajectory in 3D space while projectiles are landing. In this paper, a binocular vision system is presented, which is set up near the landing area to detect the projectiles from the image sequences. It is hard for the gray matching to be carried out because the images in two planes projected by the same areas of a projectile have different gray values. Because of the stereo disparity, the contour line of projectiles’ images simultaneously captured by stereo cameras is not the same lines of the projectiles; thus the contours in two planes can’t be matched directly. Considering the facts mentioned above, a method is proposed in the paper, in which the pitching angles and yaw angles are obtained by calculating the position of the projectiles’ axes. The projectiles’ apex coordinates with subpixel accuracy are obtained and used to calculate the projectiles’ velocities and trajectories. In order to measuring multi-projectiles, the multi-projectiles matching strategies are also studied in the paper. The simulation results show that the algorithms proposed above have advantages of simple structure and high detection accuracy.
机译:本研究的目的是在弹丸着陆时在3D空间中找到多弹丸参数,例如姿态,速度和轨迹。本文提出了一种双目视觉系统,该系统设置在着陆区附近,以从图像序列中检测弹丸。难以进行灰度匹配,因为由弹丸的相同区域投影的两个平面中的图像具有不同的灰度值。由于立体差异,立体相机同时捕获的弹丸图像轮廓线与弹丸线不同;因此,两个平面的轮廓无法直接匹配。考虑到上述事实,提出了一种方法,该方法通过计算弹丸轴线的位置来获得俯仰角和偏航角。获得具有亚像素精度的弹丸的顶点坐标,并将其用于计算弹丸的速度和轨迹。为了测量多弹,本文还研究了多弹的匹配策略。仿真结果表明,上述算法具有结构简单,检测精度高的优点。

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