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机器人数字路标识别中SSDA增强算法研究
引用本文:代昆,潘年,倪亮,刘雄,罗元.机器人数字路标识别中SSDA增强算法研究[J].数字通信,2009,36(4):31-33.
作者姓名:代昆  潘年  倪亮  刘雄  罗元
作者单位:重庆邮电大学,光电工程学院,重庆,400065
基金项目:重庆市自科学基金项目 
摘    要:针对移动机器人数字路标的识别提出一种增强的序贯相似性检测算法(SSDA,sequence similar detectiona—rithmetic),算法中的阈值采用单调递减的阈值序列,阈值逐渐逼近最佳阈值,从而使非匹配区域经过尽量少的计算超过阂值而被丢弃,有效改善识别的实时性。通过实验表明该算法能够快速准确地完成数字路标识别。

关 键 词:路标识别  模板匹配  SSDA算法
收稿时间:6/2/2009 12:00:00 AM

Research of SSDA enhancement algorithm for robot landmark recognition
DAI Kun,PAN Nian,NI Liang,LIU Xiong,LUO Yuan.Research of SSDA enhancement algorithm for robot landmark recognition[J].Digital Communication,2009,36(4):31-33.
Authors:DAI Kun  PAN Nian  NI Liang  LIU Xiong  LUO Yuan
Institution:College of Electronic Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, P.R. China
Abstract:A sequence similar detection arithmetic (SSDA) enhancement algorithm was put forward to recognize the digital landmarks in mobile robot vision navigation. The sequence of monotone decreasing thresholds, approached to the optimal threshold gradually, was used in the algorithm to save calculation of non-matching region and discard them sooner. The enhanced SSDA algorithm realizes real-time landmark detection, and experiments show that this algorithm can recognize the digital landmarks effectively and accurately.
Keywords:landmark detection  template matching  SSDA algorithm
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