Search Results - "Tango, Fabio"

Refine Results
  1. 1

    How Imitation Learning and Human Factors Can Be Combined in a Model Predictive Control Algorithm for Adaptive Motion Planning and Control by Karimshoushtari, Milad, Novara, Carlo, Tango, Fabio

    Published in Sensors (Basel, Switzerland) (10-06-2021)
    “…Interest in autonomous vehicles (AVs) has significantly increased in recent years, but despite the huge research efforts carried out in the field of…”
    Get full text
    Journal Article
  2. 2

    Can Shared Control Improve Overtaking Performance? Combining Human and Automation Strengths for a Safer Maneuver by Marcano, Mauricio, Tango, Fabio, Sarabia, Joseba, Chiesa, Silvia, Pérez, Joshué, Díaz, Sergio

    Published in Sensors (Basel, Switzerland) (23-11-2022)
    “…The Shared Control (SC) cooperation scheme, where the driver and automated driving system control the vehicle together, has been gaining attention through the…”
    Get full text
    Journal Article
  3. 3

    From the Concept of Being “the Boss” to the Idea of Being “a Team”: The Adaptive Co-Pilot as the Enabler for a New Cooperative Framework by Marcano, Mauricio, Tango, Fabio, Sarabia, Joseba, Castellano, Andrea, Pérez, Joshué, Irigoyen, Eloy, Díaz, Sergio

    Published in Applied sciences (01-08-2021)
    “…The “classical” SAE LoA for automated driving can present several drawbacks, and the SAE-L2 and SAE-L3, in particular, can lead to the so-called “irony of…”
    Get full text
    Journal Article
  4. 4

    Human–Vehicle Integration in the Code of Practice for Automated Driving by Wolter, Stefan, Caccia Dominioni, Giancarlo, Hergeth, Sebastian, Tango, Fabio, Whitehouse, Stuart, Naujoks, Frederik

    Published in Information (Basel) (01-06-2020)
    “…The advancement of SAE Level 3 automated driving systems requires best practices to guide the development process. In the past, the Code of Practice for the…”
    Get full text
    Journal Article
  5. 5

    Real-Time Detection System of Driver Distraction Using Machine Learning by Tango, Fabio, Botta, M.

    “…There is accumulating evidence that driver distraction is a leading cause of vehicle crashes and incidents. In particular, increased use of so-called…”
    Get full text
    Journal Article
  6. 6

    Pedestrian Models for Autonomous Driving Part II: High-Level Models of Human Behavior by Camara, Fanta, Bellotto, Nicola, Cosar, Serhan, Weber, Florian, Nathanael, Dimitris, Althoff, Matthias, Wu, Jingyuan, Ruenz, Johannes, Dietrich, Andre, Markkula, Gustav, Schieben, Anna, Tango, Fabio, Merat, Natasha, Fox, Charles

    “…Autonomous vehicles (AVs) must share space with pedestrians, both in carriageway cases such as cars at pedestrian crossings and off-carriageway cases such as…”
    Get full text
    Journal Article
  7. 7

    Pedestrians’ perceptions of automated vehicle movements and light-based eHMIs in real world conditions: A test track study by Carlowitz, Stefanie, Madigan, Ruth, Lee, Yee Mun, Tango, Fabio, Merat, Natasha

    “…•Experimental study comparing the effect of two different light-based eHMIs on pedestrian’ crossing decisions in test-track environment.•No effect of the eHMIs…”
    Get full text
    Journal Article
  8. 8

    Artificial Co-Drivers as a Universal Enabling Technology for Future Intelligent Vehicles and Transportation Systems by Da Lio, Mauro, Biral, Francesco, Bertolazzi, Enrico, Galvani, Marco, Bosetti, Paolo, Windridge, David, Saroldi, Andrea, Tango, Fabio

    “…This position paper introduces the concept of artificial "co-drivers" as an enabling technology for future intelligent transportation systems. In Sections I…”
    Get full text
    Journal Article
  9. 9

    Real-time detection of driver distraction: random projections for pseudo-inversion-based neural training by Botta, Marco, Cancelliere, Rossella, Ghignone, Leo, Tango, Fabio, Gallinari, Patrick, Luison, Clara

    Published in Knowledge and information systems (01-09-2019)
    “…There is an accumulating evidence that distracted driving is a leading cause of vehicle crashes and accidents. In order to support safe driving, numerous…”
    Get full text
    Journal Article
  10. 10

    Supporting Drivers in Keeping Safe Speed and Safe Distance: The SASPENCE Subproject Within the European Framework Programme 6 Integrating Project PReVENT by Bertolazzi, E, Biral, F, Da Lio, M, Saroldi, A, Tango, F

    “…This paper describes a novel driver-support system that helps to maintain the correct speed and headway (distance) with respect to lane curvature and other…”
    Get full text
    Journal Article
  11. 11

    Object perception for intelligent vehicle applications: A multi-sensor fusion approach by Vu, Trung-Dung, Aycard, Olivier, Tango, Fabio

    “…The paper addresses the problem of object perception for intelligent vehicle applications with main tasks of detection, tracking and classification of…”
    Get full text
    Conference Proceeding
  12. 12

    Shared and traded control for human-automation interaction: a haptic steering controller and a visual interface by Marcano, Mauricio, Castellano, Andrea, Díaz, Sergio, Pérez, Joshué, Tango, Fabio, Landini, Elisa, Burgio, Paolo

    “…Automated and highly automated vehicles still need to interact with the driver at different cognitive levels. Those who are SAE level 1 or 2 consider the human…”
    Get full text
    Journal Article
  13. 13

    Field tests and machine learning approaches for refining algorithms and correlations of driver’s model parameters by Tango, Fabio, Minin, Luca, Tesauri, Francesco, Montanari, Roberto

    Published in Applied ergonomics (01-03-2010)
    “…This paper describes the field tests on a driving simulator carried out to validate the algorithms and the correlations of dynamic parameters, specifically…”
    Get full text
    Journal Article
  14. 14

    The learning of longitudinal human driving behavior and driver assistance strategies by Eilers, Mark, Möbus, Claus, Tango, Fabio, Pietquin, Olivier

    “…•A new driver assistance system is realized by a Markov Decision Process.•Its warning and intervention strategies are estimated from human behavior traces.•A…”
    Get full text
    Journal Article
  15. 15

    Shaping the drivers’ interaction: how the new vehicle systems match the technological requirements and the human needs by Tango, Fabio, Montanari, Roberto

    Published in Cognition, technology & work (01-09-2006)
    “…Although it is not always possible to derive from statistics the causes of an accident, data clearly show that they are mostly due to a lack of driver's…”
    Get full text
    Journal Article
  16. 16
  17. 17

    A cooperative driver model for traffic simulations by Vokrinek, Jiri, Janovsky, Pavel, Faigl, Jan, Benda, Petr, Tango, Fabio, Pinotti, Daniele

    “…In this paper, a cooperative driver model for a multi-agent traffic simulation is proposed. The model combines maneuver-based trajectory planning of the…”
    Get full text
    Conference Proceeding
  18. 18
  19. 19
  20. 20

    Pedestrian Models for Autonomous Driving Part II: High-Level Models of Human Behavior by Camara, Fanta, Bellotto, Nicola, Cosar, Serhan, Weber, Florian, Nathanael, Dimitris, Althoff, Matthias, Wu, Jingyuan, Ruenz, Johannes, Dietrich, André, Markkula, Gustav, Schieben, Anna, Tango, Fabio, Merat, Natasha, Fox, Charles W

    Published 20-07-2020
    “…Autonomous vehicles (AVs) must share space with pedestrians, both in carriageway cases such as cars at pedestrian crossings and off-carriageway cases such as…”
    Get full text
    Journal Article