Vision locating method based RGB-D camera for amphibious spherical robots

  • Kun Tang
  • , Liwei Shi
  • , Shuxiang Guo*
  • , Shaowu Pan
  • , Huiming Xing
  • , Shuxiang Su
  • , Ping Guo
  • , Zhan Chen
  • , Yanlin He
  • *Corresponding author for this work

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

Abstract

Location system is crucial to many intelligent robots, especially for underwater robots. To increase the autonomous ability of amphibious spherical robots in underwater environment, an underwater vision locating system was designed in this paper, and the ToF (time of fly) camera (RGB-D camera) was used and introduced in this system. Through the image capture from the camera in water, two kinds of image information could be acquired, which are include color image and depth image. The theoretical analysis show that the location of objective could be calculate easily from those image information. In underwater environment, the depth information attenuated, a calibration experiment for distance correction was designed. These results were used for the coordinate establishing. The construction of the experimental environment and final results were provided. Through the analysis of experimental results, the feasibility of the vision locating method based the RGB-D camera was verified and this system will be used for providing the location of amphibious spherical robots in the future work.

Original languageEnglish
Title of host publication2017 IEEE International Conference on Mechatronics and Automation, ICMA 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1509-1514
Number of pages6
ISBN (Electronic)9781509067572
DOIs
Publication statusPublished - 23 Aug 2017
Event14th IEEE International Conference on Mechatronics and Automation, ICMA 2017 - Takamatsu, Japan
Duration: 6 Aug 20179 Aug 2017

Publication series

Name2017 IEEE International Conference on Mechatronics and Automation, ICMA 2017

Conference

Conference14th IEEE International Conference on Mechatronics and Automation, ICMA 2017
Country/TerritoryJapan
CityTakamatsu
Period6/08/179/08/17

Keywords

  • Amphibious Spherical Robot
  • Depth sense
  • Pinhole camera model
  • RGB-D camera
  • Vision locating method

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