• DOI:10.1145/3161534.3161537
Corpus ID: 23129425

An efficient visual fiducial localisation system

@article{Lightbody2017AnEV,
  title={An efficient visual fiducial localisation system},
  author={P. Lightbody and Tom{\'a}{\vs} Krajnı́k and M. Hanheide},
  journal={ACM Sigapp Applied Computing Review},
  year={2017},
  volume={17},
  pages={28-37}
}

P. Lightbody, Tomáš Krajnı́k, M. Hanheide

Published 2017

Computer Science

ACM Sigapp Applied Computing Review

With use cases that range from external localisation of single robots or robotic swarms to self-localisation in marker-augmented environments and simplifying perception by tagging objects in a robot's surrounding, fiducial markers have a wide field of application in the robotic world. We propose a new family of circular markers which allow for both computationally efficient detection, tracking and identification and full 6D position estimation. At the core of the proposed approach lies the… CONTINUE READING

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