基于最小二乘拟合的无人机运动目标测速方法

A UAV Velocity Measurement Approach for Moving Targets Based on Least Squares Fitting Algorithm

针对无人机对运动目标速度测量的应用需求,提出了一种基于最小二乘拟合的运动目标测速方法。通过基于成像模型的定位方法计算出运动目标在不同序列图像中的位置坐标,应用最小二乘多项式拟合法得出运动目标位置和速度的曲线拟合多项式,进而求得所需时刻的运动目标的速度等参数。测试结果表明,该方法能够实现无人机对运动目标速度测量,精度较高。该方法易于实现、可靠性好,具有较大的应用潜力。

In order to realize velocity measurement for moving targets with the unmanned aerial vehicles(UAV),a velocity measurement approach based on least squares polynomial fitting algorithm was proposed.The affine transform model was employed to determine the position coordinates of the moving target in sequential images.The fitting curve polynomials of position and velocity of the target were calculated by the least squares fitting method,by which the speed and direction of the moving targets was obtained at different moment.Experiment results show that the proposed approach not only can realize the speed measurement with high precision,but also is easy to realize and has high reliability,which implies its great application potential.