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Stefano Pini

2 accepted papers

2023

Safe Real-World Autonomous Driving by Learning to Predict and Plan with a Mixture of Experts

ICRA 2023poster

The goal of autonomous vehicles is to navigate public roads safely and comfortably. To enforce safety, traditional planning approaches rely on handcrafted rules to generate trajectories. Machine learning-based systems, on the other hand, scale with data and are able to learn more complex behaviors.…

Cited by 45SourceScholar
2022

Semi-Perspective Decoupled Heatmaps for 3D Robot Pose Estimation From Depth Maps

RA-L 2022

Knowing the exact 3D location of workers and robots in a collaborative environment enables several real applications, such as the detection of unsafe situations or the study of mutual interactions for statistical and social purposes. In this letter, we propose a non-invasive and light-invariant fram

Cited by 11SourceScholar