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Surface Recognition using a Composite Augmented Reality Marker

Published: 25 September 2019 Publication History

Abstract

This reserch newly proposes an augmented reality system called "composite marker" to recognize curved objects obstructing within mobile robot workspace. Fundamental experiments are carried out to identify a sphere to verify its effectiveness.

References

[1]
Ananda Sankar Kundu, et al. Scanning Camera and Augmented Reality Based Localization of Omnidirectional Robot for Indoor Application, 2016 IEEE Inter national Symposium on Robotics and Intelligent Sensors, IRIS 2016, 17--20 Dec ember 2016, Tokyo, Japan (2016)
[2]
Ksenia Shabalina, et al, Comparing Fiducial Marker Systems Occlusion Resilie nce through a Robot Eye, 2017 10th International Conference on Development s in eSystems Engineering (DeSE), Paris, France (2017)
[3]
T.Tsujimura, et al.: Geometrical optics analysis of projected-marker augmente d reality system for robot navigation, 12th France-Japan and 10th Europe-Asia Congress on Mechatronics, Japan (2018).

Cited By

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  • (2021)Effects of Augmented Reality Markers for Networked Robot NavigationAdvances in Intelligent Networking and Collaborative Systems10.1007/978-3-030-84910-8_2(11-22)Online publication date: 7-Aug-2021

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Published In

cover image ACM Conferences
HAI '19: Proceedings of the 7th International Conference on Human-Agent Interaction
September 2019
341 pages
ISBN:9781450369220
DOI:10.1145/3349537
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 25 September 2019

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Author Tags

  1. ar
  2. coordinate system
  3. curved surface
  4. marker
  5. navigation

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HAI '19
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HAI '19 Paper Acceptance Rate 25 of 68 submissions, 37%;
Overall Acceptance Rate 121 of 404 submissions, 30%

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Cited By

View all
  • (2021)Effects of Augmented Reality Markers for Networked Robot NavigationAdvances in Intelligent Networking and Collaborative Systems10.1007/978-3-030-84910-8_2(11-22)Online publication date: 7-Aug-2021

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