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Matteo Vaghi
Matteo Vaghi
Bestätigte E-Mail-Adresse bei campus.unimib.it
Titel
Zitiert von
Zitiert von
Jahr
Lcdnet: Deep loop closure detection and point cloud registration for lidar slam
D Cattaneo, M Vaghi, A Valada
IEEE Transactions on Robotics 38 (4), 2074-2093, 2022
1492022
Cmrnet: Camera to lidar-map registration
D Cattaneo, M Vaghi, AL Ballardini, S Fontana, DG Sorrenti, W Burgard
2019 IEEE intelligent transportation systems conference (ITSC), 1283-1289, 2019
832019
Global visual localization in LiDAR-maps through shared 2D-3D embedding space
D Cattaneo, M Vaghi, S Fontana, AL Ballardini, DG Sorrenti
2020 IEEE International Conference on Robotics and Automation (ICRA), 4365-4371, 2020
582020
A benchmark for point clouds registration algorithms
S Fontana, D Cattaneo, AL Ballardini, M Vaghi, DG Sorrenti
Robotics and Autonomous Systems 140, 103734, 2021
332021
Uncertainty-Aware DNN for Multi-Modal Camera Localization
M Vaghi, AL Ballardini, S Fontana, DG Sorrenti
arXiv preprint arXiv:2211.01234, 2022
22022
Understanding the Effect of Deep Ensembles in LiDAR-Based Place Recognition
M Vaghi, F D’Elia, AL Ballardini, DG Sorrenti
International Conference of the Italian Association for Artificial …, 2023
12023
Enhancing Deep Learning Methods for Vehicle Localization
M Vaghi
Università degli Studi di Milano-Bicocca, 2024
2024
A comparison of uncertainty estimation approaches for DNN-based camera localization.
M Vaghi, AL Ballardini, S Fontana, DG Sorrenti
CoRR, 2022
2022
Interpretazione della scena e localizzazione in ambito urbano per veicoli autonomi
AL Ballardini, D Benetti, D Cattaneo, S Fontana, M Vaghi, DG Sorrenti
IT, 2019
2019
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