Three articles accepted at ICRA 2019!

We are happy to announce that we have three accepted publications at the 2019 International Conference on Robotics and Automation.

We will present our latest results on lidar modeling (Laconte, Deschênes, Labussière, & Pomerleau, 2019), learning algorithm for covariance estimation (Landry, Pomerleau, & Giguère, 2019), and a survey on different robust cost functions applied to ICP (Iterative Closest Point) (Babin, Giguère, & Pomerleau, 2019).

More details, and hopefully videos to come!

Our articles

  1. Landry, D., Pomerleau, F., & Giguère, P. (2019). CELLO-3D: Estimating the Covariance of ICP in the Real World. In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA). Bibtex source
  2. Babin, P., Giguère, P., & Pomerleau, F. (2019). Analysis of Robust Functions for Registration Algorithms. In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA). Bibtex source
  3. Laconte, J., Deschênes, S.-P., Labussière, M., & Pomerleau, F. (2019). Lidar Measurement Bias Estimation via Return Waveform Modelling in a Context of 3D Mapping. In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA). Bibtex source