A Multi-Binocular Camera-based Localization Method for Amphibious Spherical Robots

Mugen Zhou, Shuxiang Guo, Liwei Shi, Huiming Xing, Xihuan Hou, He Yin, Yu Liu, Yao Hu, Debin Xia, Zan Li

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

2 Citations (Scopus)

Abstract

This paper presents a novel multi-binocular camera based localization method with panoramic view and high precision for amphibious spherical robots. In our previous work, the proposed approach based on RGB-D camera and inertial measurement unit (IMU) realized a cooperative and relatively close-range localization. While, position drifts caused by the rotation movement and short positioning range of RGB-D camera in underwater environments are the drawbacks of the previous approach. This paper designs a multi-binocular camera system on the amphibious spherical robot, which makes the robot observe targets in a nearly 360-degree visual range without rotation movement. Meanwhile, through the stereo vision model, the robot obtains the position information about the target robot. Then, according to the position information and the relative position of the binocular cameras, the cooperative localization model is established. To validate the proposed approach, experiments were performed in gazebo simulator with varying distances and relative degree. Compared with the previous works, the proposed localization method reveals higher accuracy and robustness.

Original languageEnglish
Title of host publication2020 IEEE International Conference on Mechatronics and Automation, ICMA 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages797-802
Number of pages6
ISBN (Electronic)9781728164151
DOIs
Publication statusPublished - 13 Oct 2020
Event17th IEEE International Conference on Mechatronics and Automation, ICMA 2020 - Beijing, China
Duration: 13 Oct 202016 Oct 2020

Publication series

Name2020 IEEE International Conference on Mechatronics and Automation, ICMA 2020

Conference

Conference17th IEEE International Conference on Mechatronics and Automation, ICMA 2020
Country/TerritoryChina
CityBeijing
Period13/10/2016/10/20

Keywords

  • Amphibious Spherical Robot
  • Multi-Binocular Camera
  • Vision-based Localization.

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