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Radius and Orientation Measurement for Cylindrical Objects by a Light Section Sensor.

Youdong Chen1, Chongxu Liu2

  • 1School of Mechanical Engineering & Automation, Beihang University, Beijing 100191, China. chenyd@buaa.edu.cn.

Sensors (Basel, Switzerland)
|November 26, 2016
PubMed
Summary
This summary is machine-generated.

This study introduces an efficient light section sensor method for measuring cylindrical object radii and orientations, even with interferences. The technique accurately determines dimensions for robotic applications, proving effective in experiments.

Keywords:
cylindrical objectsellipse recognitionrough identification

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Area of Science:

  • Robotics and Automation
  • Metrology and Measurement Science
  • Computer Vision

Background:

  • Accurate measurement of cylindrical objects is crucial in robotic applications.
  • Existing methods face challenges with occlusions, interferences, or complex environments.
  • Robust sensing is needed for reliable dimensional analysis.

Purpose of the Study:

  • To present an efficient light section sensor-based method for measuring radii and orientations of cylindrical objects.
  • To enable accurate measurements in challenging conditions, including welded objects or interferences.
  • To improve the precision of dimensional analysis in robotic systems.

Main Methods:

  • Utilizing a light section sensor for data acquisition.
  • Implementing data identification and screening for robust ellipse recognition.
  • Applying data smoothing and homogenization to mitigate laser line issues and data inhomogeneity.
  • Performing ellipse fitting for precise radius and orientation determination.

Main Results:

  • Successfully measured radii and orientations of cylindrical objects.
  • Demonstrated effectiveness under special conditions like welding and interferences.
  • Achieved accurate ellipse fitting through data preprocessing techniques.

Conclusions:

  • The proposed method offers an efficient and effective solution for measuring cylindrical object dimensions.
  • The technique is suitable for robotic applications requiring high accuracy in complex scenarios.
  • Experimental validation confirms the reliability of the radius and orientation measurement approach.