为了确定成像激光雷达与摄像机两种不同传感器的相互位置参数，建立两者的一一映射关系，在现有激光雷达与摄像机外部参数标定方法的基础上，通过引入奇异值分解技术，对现有标定算法进行了改进。首先，介绍了改进标定算法的基本原理，采用奇异值分解方法求解超定方程组，得到成像激光雷达坐标系与摄像机坐标系之间的投影变换矩阵。为了降低噪声影响，使用非线性优化算法优化初值。然后，利用自制的立体标定靶进行了标定实验，并使用已标定出的结果对成像激光雷达图像和摄像机图像进行了融合实验来验证提出的标定算法。实验结果表明，该算法平均标定精度达到13.33 μm，标准差为7.49 μm，比原始算法提高了1倍，基本满足图像融合对标定精度的一般要求。

In order to determine the position parameters between an imaging laser radar and a camera and to establish the mapping relation between them, an improved calibration method was proposed based on Singular Value Decomposition (SVD) and present calibration arithmetics. Firstly, the calibration principle was introduced, then the SVD was used to solve overdetermined equations to obtain the projective transformation matrixes of laser radar coordinates and camera coordinates. To reduce the influence of noise, the initial result was optimized with the Levenberg-Marquardt algorithm. Then, the calibration experiments were carried out with a 3D calibration object and the image fusion experiment was performed according to the calibration result to validate the improved calibration arithmetic. Experimental results indicate that the average calibration precision of the arithmetic is 13.33 μm and the standard error is 7.49 μm,which is doubled that of the original arithmetic. The precision of the improved calibration arithmetic can meet the requirement of image fusion.