基于空间球的三维激光扫描仪标定算法

汪霖; 曹建福; 韩崇昭

doi:10.7652/xjtuxb201304014

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基于空间球的三维激光扫描仪标定算法

更新时间：2025-07-09

- 基于空间球的三维激光扫描仪标定算法
- A Calibration Algorithm for 3D Laser Scanner Based on Spatial Sphere
- 西安交通大学学报 2013年47卷第4期页码：79-85
- 作者机构：
  
  西安交通大学机械制造系统工程国家重点实验室,西安,710049
- 作者简介：
- 基金信息：
  
  : 2012-05-12。作者简介: 汪霖(1983—),男,博士生;曹建福(通信作者),男,教授。基金项目: 国家“863计划”资助项目(2006AA01Z126)
- DOI：10.7652/xjtuxb201304014
  中图分类号： TP24
- 网络首发：2013-04-10，
  
  纸质出版：2013
- 稿件说明：
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汪霖, 曹建福, 韩崇昭. 基于空间球的三维激光扫描仪标定算法[J]. 西安交通大学学报, 2013,47(4):79-85.

A Calibration Algorithm for 3D Laser Scanner Based on Spatial Sphere[J]. 2013, 47(4): 79-85.
汪霖, 曹建福, 韩崇昭. 基于空间球的三维激光扫描仪标定算法[J]. 西安交通大学学报, 2013,47(4):79-85. DOI： 10.7652/xjtuxb201304014.

A Calibration Algorithm for 3D Laser Scanner Based on Spatial Sphere[J]. 2013, 47(4): 79-85. DOI： 10.7652/xjtuxb201304014.

摘要

针对三维激光扫描仪测量模型参数的估计问题

提出一种基于空间球的模型参数标定算法。该算法根据球状标定物上各激光扫描点与标定球球心的距离约束条件

建立三维激光扫描仪模型参数和标定球参数的非线性目标函数; 综合采用入侵性杂草优化算法和Levenberg-Marquardt算法优化该目标函数

以实现激光扫描仪模型参数标定; 通过增加标定球上的扫描点数

能够减弱激光扫描仪测量噪声对标定精度的影响

从而提高文中算法的模型参数标定精度。实验结果表明

该算法的标定精度高

模型参数估计的一致性好

且能有效抑制测量噪声对标定结果的影响。

Abstract

A model parameter calibration algorithm based on spatial sphere is proposed to estimate the measurement model parameters of a 3D laser scanner. The distance constraint between each laser scanning point on a spherical calibration object and the center of the calibration sphere is used to establish a nonlinear objective function to determine the model parameters of the 3D laser scanner and the calibration sphere parameters. The model parameter calibration of the laser scanner is realized by optimizing the objective function implemented by a proposed hybrid algorithm which integrates the invasive weed optimization(IWO)and the Levenberg-Marquardt algorithm. By adding the number of scanning points on the calibration sphere

the influence of measuring noise of laser scanner on calibration accuracy can be weakened

thereby the model parameter calibration accuracy of the proposed algorithm is improved. Experimental results show that the proposed algorithm can yield accurate calibration results with a good consistency of model parameters

and effectively suppress the measurement noise.

关键词

Keywords

references

KATSOULAS D, BASTIDAS C C, KOSMOPOULOS D. Superquadric segmentation in range images via fusion of region and boundary information [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2008, 30(5): 781-795.

NUCHTER A, LINGEMANN K, HERTZBERG J, et al. Accurate object localization in 3D laser range scans [C]∥Proceedings of 12th International Conference on Advanced Robotics. Piscataway, NJ, USA: IEEE, 2005: 665-672.

BREITENREICHER D, SCHNOERR C. Model-based multiple rigid object detection and registration in unstructured range data [J]. International Journal of Computer Vision, 2011, 92(1): 32-52.

FENTANES J A P, ALONSO R F, ZALAMA E, et al. A new method for efficient three-dimensional reconstruction of outdoor environments using mobile robots [J]. Journal of Field Robotics, 2011, 28(6): 832-853.

庄严, 卢希彬, 李云辉, 等. 移动机器人基于三维激光测距的室内场景认知 [J]. 自动化学报, 2011, 37(10): 1232-1240.

ZHUANG Yan, LU Xibin, LI Yunhui, et al. Mobile robot indoor scene cognition using 3D laser scanning [J]. Acta Automatica Sinica, 2011, 37(10): 1232-1240.

SHEEHAN M, HARRISON A, NEWMAN P. Self-calibration for a 3D laser [J]. The International Journal of Robotics Research, 2012, 31(5): 675-687.

KAUSHIK R, XIAO J, MORRIS W, et al. 3D laser scan registration of dual-robot system using vision [C]∥Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems. Piscataway, NJ, USA: IEEE, 2009: 4148-4153.

VALENCIA R, TENIENTE E, TRULLS E, et al. 3D mapping for urban service robots [C]∥Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems. Piscataway, NJ, USA: IEEE, 2009: 3076-3081.

BOSSE M, ZLOT R. Continuous 3D scan-matching with a spinning 2D laser [C]∥Proceedings of IEEE International Conference on Robotics and Automation. Piscataway, NJ, USA: IEEE, 2009: 4312-4319.

ANTONE M, FRIEDMAN Y. Fully automated laser range calibration [C]∥Proceedings of the British Machine Vision Conference. Bristol, UK: ILES Central Press, 2007: paper-29.

项志宇. 快速三维扫描激光雷达的设计及其系统标定 [J]. 浙江大学学报: 工学版, 2006, 40(12): 2130-2133.

XIANG Zhiyu. Design and calibration of fast 3D laser range finder [J]. Journal of Zhejiang University: Engineering Science, 2006, 40(12): 2130-2133.

STOYANOV T, LILIENTHAL A J. Maximum likelihood point cloud acquisition from a mobile platform [C]∥Proceedings of International Conference on Advanced Robotics. Piscataway, NJ, USA: IEEE, 2009: 1-6.

MEHRABIAN A R, LUCAS C. A novel numerical optimization algorithm inspired from weed colonization [J]. Ecological Informatics, 2006, 1(4): 355-366.

KRISHNANAND K R, NAYAK S K, PANIGRAHI B K, et al. Comparative study of five bio-inspired evolutionary optimization techniques [C]∥Proceedings of World Congress on Nature Biologically Inspired Computing. Piscataway, NJ, USA: IEEE, 2009: 1231-1236.

ROY G G, CHAKROBORTY P, ZHAO S Z, et al. Artificial foraging weeds for global numerical optimization over continuous spaces [C]∥Proceedings of IEEE Congress on Evolutionary Computation. Piscataway, NJ, USA: IEEE, 2010: 1-8.

ZHANG Q L, PLESS R. Extrinsic calibration of a camera and laser range finder: improves camera calibration [C]∥Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems. Piscataway, NJ, USA: IEEE, 2004: 2301-2306.

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