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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