利用三维点云的圆锥状弹头目标参数估计

Parameter estimation of conical warhead target based on 3D point cloud

  • 摘要: 以激光雷达三维点云对弹头目标形状、姿态、位置估计与目标识别为应用背景。针对导弹弹头的形状特点,将其近似建模为一个圆锥,并可通过6个参数来表征。提出了基于激光成像雷达得到的三维点云与Levenberg-Marquardt(L-M)算法的圆锥状目标参数估计方法,并指出这种方法也可用于对圆锥状目标的识别。通过仿真实验,给出了弹头参数估计误差与三维点云的距离分辨率、点云规模的关系。仿真和实测数据的实验结果表明:该方法在一定的观测距离分辨率下可以较精确地估计出圆锥状弹头目标的参数,并可以根据得到的参数以及对目标函数的优化结果,对目标进行识别。

     

    Abstract: Take the shape, orientation, location estimation and recognition of the target object, which is based on the laser imaging radar 3D point cloud, as the application background. According to the characteristics of the warhead shape, model it as a cone approximately, and characterize it by 6 parameters. The estimation method of conical target parameters by the L-M (Levenberg- Marquardt) algorithm was put forward, which were based on LADAR 3D point clouds, and pointed out that this method could also be used for the recognition of conical target. The result of the simulation experiment shows the relationship between the estimation errors of parameters with the distance resolution and point cloud scale of the laser radar separately. The simulation and experimental results show that, this method could accurately estimate the parameters of conical warhead target in a certain observation distance resolution, and according to the optimization results of objective function and the obtained parameters the target could be identified.

     

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