Abstract
Numerous efforts have been made to improve safety in vehicles, from passive elements as seat belts, to advanced active systems as electronic stability control systems (ESC), further trends focus on autonomous and cooperative driving. This work presents a novel approach for improving driving safety with an integrated advanced driver assistance system (ADAS) which can use biological signals from the driver and dynamic variables from the vehicle to make control decisions to act either on the driver or the vehicle itself. Its main contribution is the proposal of a systematic approach for modelling hybrid ADAS.
Graphical abstract
The appearance of intelligent transportation systems and smart vehicles, the understanding of human physiological signal, and the revolution of digital technologies and consumer devices has created the opportunity to develop more advanced systems. Its the purpose of this publication to establish a general architecture to model such complex systems in a comprehensive way.
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Acknowledgments
The authors would like to acknowledge the support of Tecnológico de Monterrey through its Research Group Automotive Consortium. Support was also provided from CONACYT by scholarship of Edgar Ledezma.
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Ledezma-Zavala, E., Ramrez-Mendoza, R.A. Towards a new framework for advanced driver assistance systems. Int J Interact Des Manuf 12, 215–223 (2018). https://doi.org/10.1007/s12008-016-0351-2
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DOI: https://doi.org/10.1007/s12008-016-0351-2