Fabio Tango

Orcid: 0000-0001-7283-4571

According to our database1, Fabio Tango authored at least 39 papers between 2004 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Application of Reinforcement Learning for Intelligent Support Decision System: A Paradigm Towards Safety and Explainability.
Proceedings of the Artificial Intelligence in HCI, 2023

A Synthetic Dataset Generator for Automotive Overtaking Maneuver Detection.
Proceedings of the Applications in Electronics Pervading Industry, Environment and Society, 2023

2022
Can Shared Control Improve Overtaking Performance? Combining Human and Automation Strengths for a Safer Maneuver.
Sensors, 2022

2021
Pedestrian Models for Autonomous Driving Part II: High-Level Models of Human Behavior.
IEEE Trans. Intell. Transp. Syst., 2021

How Imitation Learning and Human Factors Can Be Combined in a Model Predictive Control Algorithm for Adaptive Motion Planning and Control.
Sensors, 2021

A Supervisor Αgent-Based on the Markovian Decision Process Framework to Optimize the Behavior of a Highly Automated System.
Proceedings of the Augmented Cognition, 2021


2020
Human-Vehicle Integration in the Code of Practice for Automated Driving.
Inf., 2020

Pedestrian Models for Autonomous Driving Part II: high level models of human behaviour.
CoRR, 2020

Human-Automation Interaction Through Shared and Traded Control Applications.
Proceedings of the Intelligent Human Systems Integration 2020, 2020

Automation as Driver Companion: Findings of AutoMate Project.
Proceedings of the Intelligent Human Systems Integration 2020, 2020

Development of a Driver-State Adaptive Co-Driver as Enabler for Shared Control and Arbitration.
Proceedings of the HCI International 2020 - Late Breaking Posters, 2020


2019
Real-time detection of driver distraction: random projections for pseudo-inversion-based neural training.
Knowl. Inf. Syst., 2019


2018
Adaptive Artificial Co-pilot as Enabler for Autonomous Vehicles and Intelligent Transportation Systems.
Proceedings of the Tenth International Workshop on Agents in Traffic and Transportation (ATT 2018) co-located with with the Federated Artificial Intelligence Meeting, 2018

2017
Workshop on Human Machine Interaction in Autonomous Vehicles: the Perspective of the Two Current HORIZON 2020 Projects ADAS&ME and AUTOMATE.
Proceedings of the Adjunct Proceedings of the 9th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, 2017

2016
Multi-Agent Traffic Simulation for Development and Validation of Autonomic Car-to-Car Systems.
Proceedings of the Autonomic Road Transport Support Systems, 2016

2015
Artificial Co-Drivers as a Universal Enabling Technology for Future Intelligent Vehicles and Transportation Systems.
IEEE Trans. Intell. Transp. Syst., 2015

2014
Adaptive human machine interface based on the detection of driver's cognitive state using machine learning approach.
Intelligenza Artificiale, 2014

Development and design of a platform for arbitration and sharing control applications.
Proceedings of the XIVth International Conference on Embedded Computer Systems: Architectures, 2014

Object perception for intelligent vehicle applications: A multi-sensor fusion approach.
Proceedings of the 2014 IEEE Intelligent Vehicles Symposium Proceedings, 2014

Cognitive Systems in Intelligent Vehicles - A New Frontier for Autonomous Driving.
Proceedings of the ICINCO 2014 - Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics, Volume 2, Vienna, Austria, 1, 2014

2013
Real-Time Detection System of Driver Distraction Using Machine Learning.
IEEE Trans. Intell. Transp. Syst., 2013

A cooperative driver model for traffic simulations.
Proceedings of the 11th IEEE International Conference on Industrial Informatics, 2013

Fusion framework for moving-object classification.
Proceedings of the 16th International Conference on Information Fusion, 2013

2012
A Reinforcement Learning Approach to Optimize the longitudinal Behavior of a Partial Autonomous Driving Assistance System.
Proceedings of the ECAI 2012, 2012

2011
Development and Application of an Integrated Evaluation Framework for Preventive Safety Applications.
IEEE Trans. Intell. Transp. Syst., 2011

Automation Effects on Driver's Behaviour When Integrating a PADAS and a Distraction Classifier.
Proceedings of the Digital Human Modeling, 2011

Batch reinforcement learning for optimizing longitudinal driving assistance strategies.
Proceedings of the 2011 IEEE Symposium on Computational Intelligence in Vehicles and Transportation Systems, 2011

2010
Supporting Drivers in Keeping Safe Speed and Safe Distance: The SASPENCE Subproject Within the European Framework Programme 6 Integrating Project PReVENT.
IEEE Trans. Intell. Transp. Syst., 2010

Non-intrusive Detection of Driver Distraction using Machine Learning Algorithms.
Proceedings of the ECAI 2010, 2010

2009
Evaluation of Distraction in a Driver-Vehicle-Environment Framework: An Application of Different Data-Mining Techniques.
Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2009

ML Techniques for the Classification of Car-Following Maneuver.
Proceedings of the AI*IA 2009: Emergent Perspectives in Artificial Intelligence, 2009

2008
Advanced multiple objects tracking by fusing radar and image sensor data - Application on a case study.
Proceedings of the 11th International Conference on Information Fusion, 2008

2007
Design of an Adaptive Feedback Based Steering Wheel.
Proceedings of the Ergonomics and Health Aspects of Work with Computers, 2007

Advanced Drivers Assistant Systems in Automation.
Proceedings of the Human-Computer Interaction. Interaction Platforms and Techniques, 2007

2006
Shaping the drivers' interaction: how the new vehicle systems match the technological requirements and the human needs.
Cogn. Technol. Work., 2006

2004
In-car machine-human interaction: how the new vehicle technologies which respond to the vehicles needs could match with the user-centered approach and contribute to shape a user-centered design approach.
Proceedings of the IEEE International Conference on Systems, 2004


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