Vinicius Trentin was born in São Carlos-SC, Brazil, in 1993. He received the Control and Automation Engineering degree from the Federal University of Santa Maria (Santa Maria-RS, Brazil) in 2018. Since March 2019 he has been working as a predoctoral researcher in the Autopia Group at the Center for Automation and Robotics (CAR). His research interests include machine learning, reachability analysis, and probabilistic models.

2019

  • [DOI] J. F. Medina-Lee, V. Trentin, and J. Villagra, “Framework for motion prediction of vehicles in a simulation environment,” Actas de las xl jornadas de automática, ferrol, 4-6 de septiembre de 2019, p. 520–527, 2019.
    [Bibtex]
    @Article{medina2019framework,
    author = {J. F. {Medina-Lee} and Trentin, Vinicius and Villagra, Jorge},
    title = {Framework for motion prediction of vehicles in a simulation environment},
    journal = {Actas de las XL Jornadas de Autom{\'a}tica, Ferrol, 4-6 de Septiembre de 2019},
    year = {2019},
    pages = {520--527},
    doi = {https://doi.org/10.17979/spudc.9788497497169.520},
    publisher = {Universidade da Coru{\~n}a},
    url = {https://doi.org/10.17979/spudc.9788497497169.520},
    }
  • [PDF] V. Trentin, R. S. Guerra, and G. R. Librelotto, “Contradictions in assessing human morals and the ethical design of autonomous vehicles,” in Xvi latin american robotics symposium and vii brazilian robotics symposium (lars/sbr), Rio Grande, Brazil, 2019-10-25 2019.
    [Bibtex]
    @InProceedings{Trentin2019,
    author = {Vinicius Trentin and Rodrigo S. Guerra and Giovani Rubert Librelotto},
    title = {Contradictions in assessing human morals and the ethical design of autonomous vehicles},
    booktitle = {XVI Latin American Robotics Symposium and VII Brazilian Robotics Symposium (LARS/SBR)},
    year = {2019},
    address = {Rio Grande, Brazil},
    publisher = {IEEE},
    abstract = {Autonomous vehicles (AVs) promise to bring many benefits
    to society, such as safety, an increase of accessibility and life
    quality, among others. Unlike humans, they do not get tired and,
    supposedly, do not fail. However, there might be cases where, due to
    limit visibility, occlusions or even a sensor failure, the system
    might not be capable to detect one or more obstacles along the
    vehicle's path early enough to avoid a crash. Although these
    situations might be rare if one considers a single vehicle, if
    predictions are correct, these AVs are to be adopted in large
    quantities in the near future, making even rare situations more
    commonplace. AVs will have to deal with these forced-choice situations
    in the best possible way. This paper presents a review of the ethical
    discussion regarding the matter of AVs and an analysis of a
    questionnaire implemented by the authors. Our results show evidence
    for several types of contradictory choices made by the subjects, which
    suggest the moral choices do not necessarily follow strict logical
    reasoning.},
    date = {2019-10-25},
    pubstate = {published},
    tppubtype = {inproceedings},
    }