11 citations · 59 across the 19 of their papers we have counts for
8 papers · 1 filter
Active Sensing for Search and Tracking: A Review
Luca Varotto, Angelo Cenedese, Andrea Cavallaro
Active Position Estimation (APE) is the task of localizing one or more targets using one or more sensing platforms. APE is a key task for search and rescue missions, wildlife monit…
Nonlinear modeling and feedback control of boom barrier automation
Daniel Cunico, Angelo Cenedese, Luca Zaccarian +1
We address modeling and control of a gate access automation system. A model of the mechatronic system is derived and identified. Then an approximate explicit feedback linearization…
A General Regularized Distributed Solution for System State Estimation from Relative Measurements
Marco Fabris, Giulia Michieletto, Angelo Cenedese
This work presents a novel general regularized distributed solution for the state estimation problem in networked systems. Resting on the graph-based representation of sensor netwo…
Online and Adaptive Parking Availability Mapping: An Uncertainty-Aware Active Sensing Approach for Connected Vehicles
Luca Varotto, Angelo Cenedese
Research on connected vehicles represents a continuously evolving technological domain, fostered by the emerging Internet of Things (IoT) paradigm and the recent advances in intell…
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…
A Proximal Point Approach for Distributed System State Estimation
Marco Fabris, Giulia Michieletto, Angelo Cenedese
System state estimation constitutes a key problem in several applications involving multi-agent system architectures. This rests upon the estimation of the state of each agent in t…
Probabilistic RF-Assisted Camera Wake-Up through Self-Supervised Gaussian Process Regression
Luca Varotto, Angelo Cenedese
Research on wireless sensors represents a continuously evolving technological domain thanks to their high flexibility and scalability, fast and economical deployment, pervasiveness…
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…