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Approach used to merge the different driver monitoring diagnostics in the AutoConduct project
Hélène Tattegrain, Stephanie Coeugnet, Martin Petrov, Franck Mars, Xuguang Wang, Antonio Hidalgo-Munoz, Christophe Jallais, Alexandra Fort, Damien Schnebelen, Georges Beurrier

Approach used to merge the different driver monitoring diagnostics in the AutoConduct project

Science & Mathematics Published 2021 Verification Pending

Overview & Synopsis

Driving automation, either level 3 (including unplanned manual control recovery) or level 4 (fully automated driving on specific road sections), introduces new safetyand acceptance issues. In order to improve road safety by integrating advanced safety technologies, we must ensure that this new technology takes into account the needs and expectations of the drivers, on the one hand, and the predicable changes in user behaviour, on the other hand. A Human Factors working group, bringing together the main French actors of driving automation, has been set up within the NFI plan (investment plan for the future) ?autonomous driving? to prioritize these issues (www.economie.gouv.fr/files/files/PDF/nouvelle-france-industrielle-sept2014.pdf).

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Document Information

Document Title Approach used to merge the different driver monitoring diagnostics in the AutoConduct project
Author / Organization Hélène Tattegrain, Stephanie Coeugnet, Martin Petrov, Franck Mars, Xuguang Wang, Antonio Hidalgo-Munoz, Christophe Jallais, Alexandra Fort, Damien Schnebelen, Georges Beurrier
Subject & Discipline Multidisciplinary Academic Open Research
Categories Science & Mathematics
Publication Year 2021
License / Rights Open Access / Creative Commons
Resource Verification Listed PDF (Verification Pending)
Original Host Website HAL Open Science (hal.science)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-207982
Original Source Link Visit Source Page on hal.science »