8 citations · 22 across the 6 of their papers we have counts for
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3 papers · 1 filter
cs.RO2021
Transmitter Discovery through Radio-Visual Probabilistic Active Sensing
Luca Varotto, Angelo Cenedese
Multi-modal Probabilistic Active Sensing (MMPAS) uses sensor fusion and probabilistic models to control the perception process of robotic sensing platforms. MMPAS is successfully e…
cs.RO2021
Learning to falsify automated driving vehicles with prior knowledge
Andrea Favrin, Vladislav Nenchev, Angelo Cenedese
While automated driving technology has achieved a tremendous progress, the scalable and rigorous testing and verification of safe automated and autonomous driving vehicles remain c…
cs.RO2020★ 3 cited
Probabilistic Radio-Visual Active Sensing for Search and Tracking
L. Varotto, A. Cenedese, A. Cavallaro
Active Search and Tracking for search and rescue missions or collaborative mobile robotics relies on the actuation of a sensing platform to detect and localize a target. In this pa…