4 papers
EdgeLPR: On the Deep Neural Network trade-off between Precision and Performance in LiDAR Place Recognition
Pierpaolo Serio, Hetian Wang, Zixiang Wei +4
Place recognition is essential for long-term autonomous navigation, enabling loop closure and consistent mapping. Although deep learning has improved performance, deploying such mo…
A Mentalistic Interface for Probing Folk-Psychological Attribution to Non-Humanoid Robots
Giulio Pisaneschi, Pierpaolo Serio, Estelle Gerbier +3
This paper presents an experimental platform for studying intentional-state attribution toward a non-humanoid robot. The system combines a simulated robot, realistic task environme…
Polar Perspectives: Evaluating 2-D LiDAR Projections for Robust Place Recognition with Visual Foundation Models
Pierpaolo Serio, Giulio Pisaneschi, Andrea Dan Ryals +4
This work presents a systematic investigation into how alternative LiDAR-to-image projections affect metric place recognition when coupled with a state-of-the-art vision foundation…
A Target-based Multi-LiDAR Multi-Camera Extrinsic Calibration System
Lorenzo Gentilini, Pierpaolo Serio, Valentina Donzella +1
Extrinsic Calibration represents the cornerstone of autonomous driving. Its accuracy plays a crucial role in the perception pipeline, as any errors can have implications for the sa…