Author

Davide Malvezzi

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#artificial intelligence Preprint Sep 2026

A Multi-Modal Perception Pipeline for Object Detection and Tracking in Autonomous Racing

Experimental evaluation on real-world data across diverse critical scenarios, representative of challenging edge cases also in urban driving, confirms the effectiveness of the proposed pipeline and its suitability to support safe and adaptive planning decisions.

Davide Malvezzi, Michele Pestarino, Vittoria Cavicchioli et al. · 0 citations

Jul 2026

A2RL Vmax: The A2RL autonomous racing dataset for long-range, high-speed perception and multi-vehicle interaction

This work introduces the A2RL V\textsubscript{max} open-source dataset, specifically designed for perception tasks in high-speed autonomous driving and multi-vehicle interaction, and is the first large-scale dataset in autonomous racing to feature professionally annotated LiDAR point clouds, enabling deep learning-base...

Marvin Klemp, Dominic Ebner, Cornelius Schröder et al. · arXiv.org · 0 citations