VAGHI MATTEO

Vaghi, M., D’Elia, F., Ballardini, A., Sorrenti, D. (2023). Understanding the Effect of Deep Ensembles in LiDAR-Based Place Recognition. In AIxIA 2023 – Advances in Artificial Intelligence. XXIInd International Conference of the Italian Association for Artificial Intelligence, AIxIA 2023, Rome, Italy, November 6–9, 2023, Proceedings (pp.295-309). Springer Science and Business Media Deutschland GmbH [10.1007/978-3-031-47546-7_20]. Detail

Cattaneo, D., Vaghi, M., Valada, A. (2022). LCDNet: Deep Loop Closure Detection and Point Cloud Registration for LiDAR SLAM. IEEE TRANSACTIONS ON ROBOTICS, 38(4), 2074-2093 [10.1109/TRO.2022.3150683]. Detail

Fontana, S., Cattaneo, D., Ballardini, A., Vaghi, M., Sorrenti, D. (2021). A benchmark for point clouds registration algorithms. ROBOTICS AND AUTONOMOUS SYSTEMS, 140(June 2021) [10.1016/j.robot.2021.103734]. Detail

Cattaneo, D., Vaghi, M., Fontana, S., Ballardini, A., Sorrenti, D. (2020). Global visual localization in LiDAR-maps through shared 2D-3D embedding space. In Proceedings - IEEE International Conference on Robotics and Automation (pp.4365-4371). Institute of Electrical and Electronics Engineers Inc. [10.1109/ICRA40945.2020.9196859]. Detail

Cattaneo, D., Vaghi, M., Fontana, S., Ballardini, A., Sorrenti, D. (2019). Global visual localization in LiDAR-maps through shared 2D-3D embedding space [Altro]. Detail