Papers at VEHITS 2020 and FRUCT 2020

I am pleased to announce that we are also successful with conference papers in 2020.

The VEHITS paper summarizes and describes the results, which have been developed together with the consortium partners JIG and RISE in the SCOTT project. In addition, the University of Rostock was involved with a study on the privacy of vehicle data. The paper shows how a data-driven service based on vehicle data can be built step by step and where privacy should be considered.

  • [DOI] Kaiser, C., Stocker, A., Festl, A., Djokic Petrovic, M., Papatheocharous, E., Wallberg, A., Ezquerro, G., Ortigosa Orbe, J., Szilagyi, T., & Fellmann, M.. (2020). A vehicle telematics service for driving style detection: implementation and privacy challenges. Paper presented at the Proceedings of the 6th international conference on vehicle technology and intelligent transport systems – volume 1: VEHITS.
    [Bibtex]
    @conference{vehits2020qcar,
    author={Kaiser, Christian and Stocker, Alexander and Festl, Andreas and Djokic Petrovic, Marija and Papatheocharous, Efi and Wallberg, Anders and Ezquerro, Gonzalo and Ortigosa Orbe, Jordi and Szilagyi, Tom and Fellmann, Michael},
    title={A Vehicle Telematics Service for Driving Style Detection: Implementation and Privacy Challenges},
    booktitle={Proceedings of the 6th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: {VEHITS}},
    year={2020},
    pages={29-36},
    publisher={SciTePress},
    organization={INSTICC},
    doi={10.5220/0009329400290036},
    isbn={978-989-758-419-0},
    }

In the FRUCT paper we were invited to support Friedrich Lindow (University of Rostock) and Alexey Kashevnik (SPIIRAS and University of St. Petersburg, respectively). An existing smartphone app, which collects data while driving, is extended with an AI component to optimize the thresholds for events for each driver individually.

  • Lindow, F., Kashevnik, A., Kaiser, C., & Stocker, A.. (2020). Ai-based driving data analysis for behavior recognition in vehicle cabin. Paper presented at the 2020 25th conference of open innovations association (FRUCT).
    [Bibtex]
    @inproceedings{fruct2020ai,
    title={AI-Based Driving Data Analysis for Behavior Recognition in Vehicle Cabin},
    author={Lindow, Friedrich and Kashevnik, Alexey and Kaiser, Christian and Stocker, Alexander},
    booktitle={2020 25th Conference of Open Innovations Association {(FRUCT)}},
    year={2020},
    organization={IEEE}
    }