Gianluca D'amico | Scuola Superiore Sant'Anna

Bio

Gianluca D'Amico is a Ph.D. student at the ReTiS Lab of the Scuola Superiore Sant’Anna of Pisa. He received a MS in Computer Science and Networking by the Scuola Superiore Sant’Anna and University of Pisa. His current research interests include computer graphics, LiDAR technology, and simulation tools for testing algorithms and deep neural networks in railway and automotive environments.

Publications

D'Amico, Gianluca; Nesti, Federico; Rossolini, Giulio; Marinoni, Mauro; Sabina, Salvatore; Buttazzo, Giorgio

SynDRA: Synthetic Dataset for Railway Applications Open new browser tab

(2025)
D'Amico, Gianluca; Marinoni, Mauro; Buttazzo, Giorgio

A Comparative Analysis of Visual Odometry in Virtual and Real-World Railways Environments Open new browser tab

(2024)
Nesti, Federico; Rossolini, Giulio; D'Amico, Gianluca; Biondi, Alessandro; Buttazzo, Giorgio

CARLA-GeAR: A Dataset Generator for a Systematic Evaluation of Adversarial Robustness of Deep Learning Vision Models Open new browser tab

(2024)
D’Amico, Gianluca; Marinoni, Mauro; Nesti, Federico; Rossolini, Giulio; Buttazzo, Giorgio; Sabina, Salvatore; Lauro, Gianluigi

TrainSim: A Railway Simulation Framework for LiDAR and Camera Dataset Generation Open new browser tab

(2023)
Rossolini, Giulio; Nesti, Federico; D'Amico, Gianluca; Nair, Saasha; Biondi, Alessandro; Buttazzo, Giorgio

On the Real-World Adversarial Robustness of Real-Time Semantic Segmentation Models for Autonomous Driving Open new browser tab

(2023)
D'Amico, G.; Marinoni, M.; Nesti, F.; Sabina, S.; Lauro, G.; Buttazzo, G. -C.

Graphic Simulation Framework of Railway Scenarios for LiDAR Dataset Generation Open new browser tab

(2022)

Bio

Publications

SynDRA: Synthetic Dataset for Railway Applications Open new browser tab

A Comparative Analysis of Visual Odometry in Virtual and Real-World Railways Environments Open new browser tab

CARLA-GeAR: A Dataset Generator for a Systematic Evaluation of Adversarial Robustness of Deep Learning Vision Models Open new browser tab

TrainSim: A Railway Simulation Framework for LiDAR and Camera Dataset Generation Open new browser tab

On the Real-World Adversarial Robustness of Real-Time Semantic Segmentation Models for Autonomous Driving Open new browser tab

Graphic Simulation Framework of Railway Scenarios for LiDAR Dataset Generation Open new browser tab