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Vision position sensor of pipeline robot

  • Xiaohua Zhang*
  • , Hongjun Chen
  • , Zhongquan Deng
  • *Corresponding author for this work
  • Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

A "spherical mirror-CCD" vision position sensor scheme is presented with the relationship between image parameters and distance between the pipeline robot and the welding line formulated. By applying the techniques, such as "associative memory neural network" and "image symmetric compression", the accuracy of the vision position sensor can be ±1 pixel (±5 mm), and the frequency of sampling can reach 3 Hz.

Original languageEnglish
Title of host publicationProceedings of the Second International Symposium on Instrumentation Science and Technology
EditorsT. Jiubin, W. Xianfang, T. Jiubin, W. Xianfang
Pages3/290-3/295
StatePublished - 2002
EventProceedings of the second International Symposium on Instrumentation Science and Technology - Jinan, China
Duration: 18 Aug 200222 Aug 2002

Publication series

NameProceedings of the Second International Symposium on Instrumentation Science and Technology
Volume3

Conference

ConferenceProceedings of the second International Symposium on Instrumentation Science and Technology
Country/TerritoryChina
CityJinan
Period18/08/0222/08/02

Keywords

  • Neural network
  • Pattern recognition
  • Pipeline robot
  • Vision position sensor

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