A novel method of 3D motion object's position perception

Tan Wei, Xuan Liu, Chen Yi, Erfu Yang

Research output: Contribution to journalConference article

2 Downloads (Pure)

Abstract

With the development of industrial automation, location measurement of 3D objects is becoming more and more important, especially as it can provide necessary positional parameters for the manipulator to grasp the object accurately. In view of the disabled object which is in widespread use currently, its image is captured to obtain positional parameters and transmitted to manipulators in industry. The above process is delayed, affecting the work efficiency of the manipulator. A method for calculating the position information of target object in motion is proposed. This method uses monocular vision technology to track 3D moving objects, then uses contour sorting method to extract the minimum constrained contour rectangle, and combines the video alignment technology to realize the tracking. Thus, the measurement error is reduced. The experimental results and analysis show that the adopted measurement method is effective.

Original languageEnglish
Article number03020
Number of pages6
JournalMATEC Web of Conferences
Volume246
DOIs
Publication statusPublished - 7 Dec 2018
Event1st International Symposium on Water System Operations, ISWSO 2018 - Beijing, China
Duration: 16 Oct 201820 Oct 2018

Keywords

  • position information
  • industrial automation
  • measurement methods
  • moving objects
  • video alignment
  • industrial manipulators

Fingerprint Dive into the research topics of 'A novel method of 3D motion object's position perception'. Together they form a unique fingerprint.

Cite this