Effie Daum is currently a Ph.D. candidate in Norlab laboratory supervised by Prof. François Pomerleau at Université Laval. She has a master’s degree in Geomatic from Ecole Supérieure des Géomètres-Topographes (Le Mans, France). During her master’s degree, she did a 6 months intership at Norlab and wrote her master thesis on the amelioration of the SLAM algorithms using a 6-DOF trajectory reconstruction using GNSS and Robotic Total stations. Her research interests include trajectory reconstruction, Lie algebra, GNSS and Robotic Total stations.

Education

M.Sc. in Geomatic at Ecole Supérieure des Géomètres-Topographes in Le Mans, France 2023.

Implication

• 1th place at the F1TENTH competition in Yokohama (ICRA2024).
• Sponsporship manager for the projet VAUL (Véhicule Autonome de l’Université Laval) 2023-2024.
• Participation in the F1TENTH competition in London (ICRA2023).

Publications

Conference Articles

1. Vaidis, M., Shahraji, M. H., Daum, E., Dubois, W., Giguère, P., & Pomerleau, F. (2024). RTS-GT: Robotic Total Stations Ground Truthing dataset. Proceedings of the IEEE International Conference on Robotics and Automation (ICRA). https://arxiv.org/abs/2309.11935
    Publisher    Bibtex source
2. Vaidis, M., Dubois, W., Daum, E., LaRocque, D., & Pomerleau, F. (2023). Uncertainty analysis for accurate reference trajectories with robotic total stations. Proceedings of the IEEE International Conference on Intelligent Robots and Systems (IROS). https://ieeexplore.ieee.org/abstract/document/10341529 Accepted for oral presentation
    Publisher    Bibtex source

Miscellaneous

1. Boxan, M., Krawciw, A., Daum, E., Qiao, X., Lilge, S., Barfoot, T. D., & Pomerleau, F. (2024). FoMo: A Proposal for a Multi-Season Dataset for Robot Navigation in Forêt Montmorency. In presented to the 2024 Workshop on Field Robotics from IEEE International Conference on Robotics and Automation (ICRA). https://arxiv.org/abs/2404.13166
    Publisher    Bibtex source
2. Daum, E., Vaidis, M., & Pomerleau, F. (2023). Benchmarking ground truth trajectories with robotic total stations. In presented at IROS23, Workshop on Methods for Objective Comparison of Results in Intelligent Robotics Research. https://arxiv.org/abs/2309.05134 Best paper award!
    Publisher    Bibtex source

Repositeries

Norlab trajectory: A library to interpolate trajectories from localization algorithms using Gaussian Processes and STEAM (Simultaneous Trajectory Estimation and Mapping).