DI LAURO FEDERICA

Fontana, S., Di Lauro, F., Sorrenti, D. (2025). Assessing the practical applicability of neural-based point clouds registration algorithms: A comparative analysis. JOURNAL OF FIELD ROBOTICS, 42(2 (March 2025)), 406-429 [10.1002/rob.22417]. Dettaglio

Di Lauro, F., Fallati, L., Fontana, S., Savini, A., Sorrenti, D. (2024). Automatic Alignment of Multi-scale Aerial and Underwater Photogrammetric Point Clouds: A Case Study in the Maldivian Coral Reef. In Image Analysis and Processing - ICIAP 2023 Workshops
Udine, Italy, September 11–15, 2023, Proceedings, Part I (pp.442-453). Springer Science and Business Media Deutschland GmbH [10.1007/978-3-031-51023-6_37]. Dettaglio

Varzi, A., Di Lauro, F., Fallati, L., Carlson, D., Klusak, J., Marino, L., et al. (2024). BridgET – Bridging the Gap between Land and Sea: the Lachea Island case study. Intervento presentato a: ICSLPE International Conference on Seafloor Landforms, Processes and Evolution 2024, Lipari, Italy. Dettaglio

Di Lauro, F., Sorrenti, D., Fontana, S. (2024). Robust and correspondence-free point cloud registration: an extended approach with multiple hypotheses evaluation. INTELLIGENT SERVICE ROBOTICS, 17(6), 1109-1124 [10.1007/s11370-024-00562-1]. Dettaglio

Fontana, S., Di Lauro, F. (2022). An Overview of Sensors for Long Range Missile Defense. SENSORS, 22(24) [10.3390/s22249871]. Dettaglio