Alessandro Gabrielli

Phd student

About Me

I am currently pursuing my PhD in computer science at Politecnico di Milano where I received the Master in computer Engineering in 2015. My interests lie in the field of robotics and machine learning with a particular focus on robotics perception, autonomous car and interaction between autonomous cars and passengers. 
My research is focused on developing an autonomous driving planner in which it is possible to add constraints that allow a car to drive with a style that is comfortable for the passenger. In order to evaluate the comfort of the passenger, physiological sensors that acquire heart’s activity, respiration rate, skin conductance and eyes gaze parameters are used. These physiological signals are analyzed in order to have an objective evaluation of the goodness of the autonomous driving planner. With the information about the passenger’s comfort is possible to know if a set of constraints fit the passenger’s comfort.
I am involved in the IDRIVE lab , an inter-disciplinary lab aiming to analyze and model the interaction between driver, vehicle, infrastructure, and environment. 
I've been involved in some research projects mainly focused on robotics perception, localization and planning.

Pubblication

2019

Marco Paracchini, Lorenzo Marchesi, Klaus Pasquinelli, Marco Marcon, Giulio Fontana, Alessandro Gabrielli, Federica Villa. Remote PhotoPlethysmoGraphy Using SPAD Camera for Automotive Health Monitoring Application . In 2019 AEIT International Conference of Electrical and Electronic Technologies for Automotive (AEIT AUTOMOTIVE) (pp. 1-6).

2018

Pietro Astolfi, Alessandro Gabrielli, Luca Bascetta, Matteo Matteucci. Vineyard Autonomous Navigation in the Echord++ GRAPE Experiment . IFAC Symposium on Information Control Problems in Manufacturing (INCOM 2018).

2017

Daniele Ruscio, Luca Bascetta, Alessandro Gabrielli, Matteo Matteucci, Dedy Ariansyah, Monica Bordegoni, Giandomenico Caruso, Lorenzo Mussone. Collection and Comparison of driver/passenger physiologic and behavioural data in simulation and on-road driving. In 2017 5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS) (pp. 403-408).

Ferran Roure, Germán Moreno, Marcel Soler, Davide Faconti, Daniel Serrano, Pietro Astolfi, Gianluca Bardaro, Alessandro Gabrielli, Luca Bascetta, Matteo Matteucci. GRAPE: Ground Robot for vineyard Monitoring and Protection. ROBOT 2017: Third Iberian Robotics Conference (pp249-260).

Teaching

fundamentals of computer science A.A. 2020/2021

fundamentals of computer science 2019/2020

fundamentals of computer science 2018/2019

fundamentals of computer science 2017/2018

computer architecture A.A. 2016/2017

Contacts

Politecnico di Milano

Building 21 - Floor 1 - Office 14
Via Camillo Golgi, 39 - 20133, Milano - Italy
+39.02.2399.9681 - alessandro.gabrielli@polimi.it