Implementation of low cost vision based measurement system

Motion analysis of indoor robot

Somashekhar S. Hiremath, Robins Mathew, Jennifer Jacob

Research output: Contribution to journalArticle

Abstract

The current paper focuseson the development of a low cost vision based measurement system for obtaining the position, velocity,and trajectory of a mobile robot in an indoor environment using monocular camera. The developed methodutilizedcolor based feature extraction and blob analysis technique to detect and track the motion of the mobile robot. The equations for transforming pixel coordinate into real world coordinate were generated using polynomial surface fit. The noises in the measured data due to unaccounted source of errors were reduced by the use of median filter. The experiment utilizeda commercial webcamto capture the robot motiontherebyreducing the cost of the system. The experiments conducted on a two dimensional platform of size 1600 mm ? 800 mm verified that the methodcan be effectively implemented for detecting mobile robots.

Original languageEnglish
Pages (from-to)575-582
Number of pages8
JournalInternational Journal of Mechanical Engineering and Robotics Research
Volume7
Issue number6
DOIs
Publication statusPublished - 01-11-2018
Externally publishedYes

Fingerprint

Mobile robots
Robots
Costs
Median filters
Feature extraction
Pixels
Experiments
Cameras
Trajectories
Polynomials
Motion analysis

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Mechanical Engineering
  • Artificial Intelligence

Cite this

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Implementation of low cost vision based measurement system : Motion analysis of indoor robot. / Hiremath, Somashekhar S.; Mathew, Robins; Jacob, Jennifer.

In: International Journal of Mechanical Engineering and Robotics Research, Vol. 7, No. 6, 01.11.2018, p. 575-582.

Research output: Contribution to journalArticle

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