The full list of publications can be found here : Robotics

https://dream.georgiatech-metz.fr/publications/

  • Aravecchia, S., Clausel, M., & Pradalier, C. (2024). Comparing metrics for evaluating 3D map quality in natural environments. Robotics and Autonomous Systems, 173, 104617. https://doi.org/10.1016/j.robot.2023.104617
  • Khazem, S., Richard, A., Fix, J., & Pradalier, C. (2023). Deep learning for the detection of semantic features in tree X-ray CT scans. Artificial Intelligence in Agriculture, 7, 13–26.
  • Venkataramanan, A., Faure-Giovagnoli, P., Regan, C., Heudre, D., Figus, C., Usseglio-Polatera, P., Pradalier, C., & Laviale, M. (2023). Usefulness of synthetic datasets for diatom automatic detection using a deep-learning approach. Engineering Applications of Artificial Intelligence, 117, 105594.
  • Le Gentil, C., Ouabi, O.-L., Wu, L., Pradalier, C., & Vidal-Calleja, T. (2023). Accurate Gaussian-Process-based Distance Fields with Applications to Echolocation and Mapping. IEEE Robotics and Automation Letters.