Improving Object Pose Estimation by Fusion With a Multimodal Prior – Utilizing Uncertainty-Based CNN Pipelines for Robotics (bibtex)
by Jesse Richter-Klug, Patrick Mania, Gayane Kazhoyan, Michael Beetz, Udo Frese
Reference:
Jesse Richter-Klug, Patrick Mania, Gayane Kazhoyan, Michael Beetz, Udo Frese, "Improving Object Pose Estimation by Fusion With a Multimodal Prior – Utilizing Uncertainty-Based CNN Pipelines for Robotics", In IEEE Robotics and Automation Letters, vol. 7, no. 2, pp. 2282-2288, 2022.
Bibtex Entry:
@ARTICLE{posewithprior2022,
  author={Richter-Klug, Jesse and Mania, Patrick and Kazhoyan, Gayane and Beetz, Michael and Frese, Udo},
  journal={IEEE Robotics and Automation Letters},
  title={Improving Object Pose Estimation by Fusion With a Multimodal Prior – Utilizing Uncertainty-Based CNN Pipelines for Robotics},
  year={2022},
  volume={7},
  number={2},
  pages={2282-2288},
  bib2html_funding = {EASE},
  keywords={easecrc_perception},
  doi={10.1109/LRA.2022.3140450}}
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