Data-Driven Object Pose Estimation in a Practical Bin Picking Application

Here you can find the dataset related to the paper:

1) Binpicking HDR dataset (7GB) Approximately 3000 images of textureless reflective parts captured with various exposure times, namely: 3.75, 7.5, 15, and 33 milliseconds. (Example data subset 70MB)

• Kozák, V., Sushkov, R., Kulich, M., and Přeučil, L. (2021). Data-Driven Object Pose Estimation in a Practical Bin-Picking Application. Sensors.
  PDF   URL  BibTeX

  @Article{kozak2021sensorsBinpicking,
    author = {Kozák, Viktor and Sushkov, Roman and Kulich, Miroslav and Přeučil, Libor},
    title = {Data-Driven Object Pose Estimation in a Practical Bin-Picking Application},
    JOURNAL = {Sensors},
    VOLUME = {21},
    YEAR = {2021},
    NUMBER = {18},
    ARTICLE-NUMBER = {6093},
    URL = {https://www.mdpi.com/1424-8220/21/18/6093},
    ISSN = {1424-8220},
    DOI = {10.3390/s21186093}
  }
  
  
• Surák, M., Košnar, K., Kulich, M., Kozák, V., and Přeučil, L. (2019). Visual Data Simulation for Deep Learning in Robot Manipulation Tasks. Modelling and Simulation for Autonomous Systems (MESAS 2018).
  PDF   URL  BibTeX

  @inproceedings{Surak19mesas,
    author = {Surák, M. and Košnar, Karel and Kulich, Miroslav and Kozák, Viktor and Přeučil, Libor},
    title = {Visual Data Simulation for Deep Learning in Robot Manipulation Tasks},
    booktitle = {Modelling and Simulation for Autonomous Systems (MESAS 2018)},
    publisher = {Springer International Publishing AG},
    address = {Cham, CH},
    year = {2019},
    language = {English},
    url = {https://doi.org/10.1007/978-3-030-14984-0_29},
    doi = {10.1007/978-3-030-14984-0_29},
    access = {accepted}
  }