借助于特征点的自主视觉测高方法研究
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  • 英文篇名:Self-Vision Height Measurement Method Based on Feature Points
  • 作者:刘峰 ; 樊梦琦 ; 王向军 ; 陈晓昀
  • 英文作者:Liu Feng;Fan Mengqi;Wang Xiangjun;Chen Xiaoyun;State Key Laboratory of Precision Measuring Technology and Instruments,Tianjin University;MOEMS Education Ministry Key Laboratory,Tianjin University;
  • 关键词:测量 ; 自主测高 ; 异步成像 ; 无人机
  • 英文关键词:measurement;;autonomous measurement of height;;asynchronous imaging;;unmanned aerial vehicle
  • 中文刊名:JGDJ
  • 英文刊名:Laser & Optoelectronics Progress
  • 机构:天津大学精密测试技术及仪器国家重点实验室;天津大学微光机电系统技术教育部重点实验室;
  • 出版日期:2018-04-18 15:29
  • 出版单位:激光与光电子学进展
  • 年:2018
  • 期:v.55;No.632
  • 基金:国家自然科学基金(51575388)
  • 语种:中文;
  • 页:JGDJ201809027
  • 页数:7
  • CN:09
  • ISSN:31-1690/TN
  • 分类号:229-235
摘要
提出了一种借助于单个特征点的异步视觉自主测高方法。所提方法将内外参分离标定,计算效率高。在构建的6自由度飞行模拟装置上对该方法进行了验证,结果表明:当测试高度在2m以内时,测量的绝对误差小于0.02m,相对误差优于1.5%。该方法对计算负载的要求低,特别适用于机上快速解算的应用场合,也可拓展至对地目标定位的测量应用中。
        An autonomous measurement method of height based on the asynchronous vision of a single feature point is proposed,in which the internal and external matrix are calibrated separately and thus the computational efficiency is high.This method is verified in the constructed flight simulation device with six degrees of freedom and the results show that,below the testing height of 2 m,the absolute measurement error is less than 0.02 mand the relative error is superior to 1.5%.This method requires a less computing load,and is particularly suitable to the application of fast decoding in planes,and can also be extended to the measurement application of the ground target positioning.
引文
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