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Binocular camera-based a docking system for an amphibious spherical robot

  • Shuxiang Guo
  • , Yu Liu*
  • , Liwei Shi
  • , Ping Guo
  • , Huiming Xing
  • , Xihuan Hou
  • , Zhan Chen
  • , Shuxiang Su
  • , Huikang Liu
  • *Corresponding author for this work
  • Beijing Institute of Technology
  • Kagawa University

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

Abstract

In order to fulfill the task about autonomous recovery and charging of robots, a set of robotic docking system based on binocular stereo vision was initially designed and implemented. A binocular camera was used in our docking system. Through the image captured by binocular camera of the surrounding environment, we can obtain the two kinds of image, which include color image and depth image. And in order to get accurate depth information, we conducted a binocular camera calibration experiment. Then according to the depth information, the robot recognize the docking receptacle also as a marker fixed in the pool, then using KCF (Kernelized Correlation Filters) algorithm to track the target and making robot arrive the docking destination accurately. The docking system can be implemented by the process above. During the experiment, we selected the receptacle in the image, the robot recognized target and arrived at the designated location. The experimental results demonstrated the veracity and robustness of the proposed docking system based on binocular stereo vision.

Original languageEnglish
Title of host publicationProceedings of 2018 IEEE International Conference on Mechatronics and Automation, ICMA 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1621-1626
Number of pages6
ISBN (Electronic)9781538660720
DOIs
Publication statusPublished - 5 Oct 2018
Event15th IEEE International Conference on Mechatronics and Automation, ICMA 2018 - Changchun, China
Duration: 5 Aug 20188 Aug 2018

Publication series

NameProceedings of 2018 IEEE International Conference on Mechatronics and Automation, ICMA 2018

Conference

Conference15th IEEE International Conference on Mechatronics and Automation, ICMA 2018
Country/TerritoryChina
CityChangchun
Period5/08/188/08/18

Keywords

  • Amphibious Spherical Robot
  • Binocular Camera
  • Docking System
  • Visual Tracking

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