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仿人眼功能的三维激光扫描算法

陈伟海 宋蔚阳 荣利霞 刘敬猛

陈伟海, 宋蔚阳, 荣利霞, 等 . 仿人眼功能的三维激光扫描算法[J]. 北京航空航天大学学报, 2009, 35(5): 563-566.
引用本文: 陈伟海, 宋蔚阳, 荣利霞, 等 . 仿人眼功能的三维激光扫描算法[J]. 北京航空航天大学学报, 2009, 35(5): 563-566.
Chen Weihai, Song Weiyang, Rong Lixia, et al. 3D laser scanning algorithm with humanoid-eye function[J]. Journal of Beijing University of Aeronautics and Astronautics, 2009, 35(5): 563-566. (in Chinese)
Citation: Chen Weihai, Song Weiyang, Rong Lixia, et al. 3D laser scanning algorithm with humanoid-eye function[J]. Journal of Beijing University of Aeronautics and Astronautics, 2009, 35(5): 563-566. (in Chinese)

仿人眼功能的三维激光扫描算法

基金项目: 国家863计划资助项目(2006AA04Z218)(2008AA04Z210); 国家自然科学基金资助项目(60775059)
详细信息
    作者简介:

    陈伟海(1955-),男,浙江象山人,教授,whchenbuaa@126.com.

  • 中图分类号: TP 242.6+2

3D laser scanning algorithm with humanoid-eye function

  • 摘要: 针对目前国内外应用于移动机器人的三维激光扫描系统存在的扫描效率问题,提出了一种仿人眼功能的三维激光扫描算法.从仿生学角度出发,该算法模仿人类眼睛的扫描功能,对陌生环境进行分步扫描:根据当前的扫描信息,在线规划出下一步的扫描规律,以减少无用信息的获取;采用分步插补定位的方法来弥补分步扫描带来的时间消耗,从而提高了扫描系统的效率.为了满足扫描算法的在线处理对实时性的要求,采用了一种DSP(Digital Signal Processing)+FPGA(Field-Programmable Gate Array)的硬件平台架构:即DSP作主控制器负责三维信息的获取,FPGA作协处理器负责扫描算法的实现.实验结果表明仿人眼功能的扫描算法可以有效的提高三维扫描系统的扫描效率.

     

  • [1] 曾姝彦,张广军,李秀智.基于Gabor滤波器的图像目标识别方法[J].北京航空航天大学学报, 2006,32(8):954-957 Zeng Shuyan, Zhang Guangjun, Li Xiuzhi. Image target distinguish based on Gabor filters[J]. Journal of Beijing University of Aeronautics and Astronautics, 2006, 32(8):954-957(in Chinese) [2] Nishimoto, Kiyoshi , Sagami, et al. Three dimensional recognition of environments for a mobile robot using laser range finder Proceedings of the SICE Annual Conference, SICE Annual Conference. Japan:SICE, 2007:401-405 [3] Weingarten J, Siegwart R. EKF-based 3D SLAM for structured environment reconstruction Proc of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). Canada:IEEE, 2005: 2089-2094 [4] Cole D M, Newman P M. Using laser range data for 3D SLAM in outdoor environments Robotics and Automation, 2006. ICRA 2006. Proceedings 2006 IEEE International Conference. United States: IEEE, 2006:1556-1563 [5] Wulf O, Nuchter A, Hertzberg J, et al, Ground truth evaluation of large urban 6D SLAM Intelligent Robots and Systems, 2007. IROS 2007. IEEE/RSJ International Conference. United States: IEEE, 2007:650-657 [6] Brenneke C, Wulf O, Wagner B. Using 3D laser range data for SLAM in outdoor environments Intelligent Robots and Systems, 2003. (IROS 2003). Proceedings. 2003 IEEE/RSJ International Conference. United States: IEEE, 2003:188-193 [7] Wulf O, Wager B. Fast 3D Scanning methods for laser measurement systems Inter Conf on Control Systems and Computer Science, Vol. 1. Bucharest Romania: , 2003: 312-317 [8] Pear N E. Range feature extraction during active sensor motion Intelligent Robots and Systems, 1997. IROS -97, Proceedings of the 1997 IEEE/RSJ International Conference. United States: IEEE, 1997:572-578 [9] Fan T, Adams M, Ibanez-Guzman J, et al, Pose invariant, robust feature extraction from data with a modified scale space approach Robotics and Automation, 2004. Proceedings. ICRA '04. 2004 IEEE International Conference. United States: IEEE, 2004:3173-3179 [10] Park H W, Lee S Y, Chung W K, Obstacle detection and feature extraction using 2.5D range sensor system SICE-ICASE, 2006. International Joint Conference. Korea: , 2006:2000-2004
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出版历程
  • 收稿日期:  2008-08-10
  • 网络出版日期:  2009-05-31

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