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An extrinsic calibration method for binocular cameras and swing 2D laser rangefinder

机译:双目相机和摆动2D激光测距仪的外部校准方法

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In this paper a novel method is proposed to calibrate the extrinsic parameters of the swing 2D laser rangefinder (LRF) and binocular cameras system. Target object that need special processing is abandoned. Extrinsic calibration is completed with one observation of three planes that posted with checkboard-like posters. The procedure is simplified. Superior to the monocular vision, stereo vision can obtain more information of scene. 3D virtual points and lines are deduced by analyzing the intersected 3D planes and they are used as inputs to an optimization problem which estimating the relative pose between camera and LRF. Moreover, we build geometric model of swing LRF and estimate the two important parameters with Levenberg-Marquardt (LM) individually. Thus, the distortion of point cloud that caused by mechanical structure is corrected as pretreatment of relative pose calculation. Experimental results demonstrate the validity of the proposed calibration and correction methods.
机译:本文提出了一种新的方法来校准摆动2D激光测距仪(LRF)和双目相机系统的外部参数。需要特殊处理的目标对象被放弃。通过对三个以棋盘状海报张贴的飞机进行观测,可以完成外部校准。该过程得以简化。立体视觉优于单眼视觉,可以获取更多场景信息。通过分析相交的3D平面来推导3D虚拟点和线,并将它们用作优化问题的输入,该问题可估计摄像机和LRF之间的相对姿势。此外,我们建立了摆动LRF的几何模型,并分别用Levenberg-Marquardt(LM)估算了两个重要参数。因此,由机械结构引起的点云失真被校正为相对姿态计算的预处理。实验结果证明了所提出的校准和校正方法的有效性。

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