3 papers
cs.CV2026
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…
cs.CV2025
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…
cs.RO2025
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…