An important aspect of Advanced Driver-Assistance Systems is the real-time monitoring of the driver and the interaction with him/her. In this scenario, the proposed work is focused on the development of an innovative system capable of analyzing the driver’s state and interact with him/her in a innovative way. In particular, the driver monitoring is obtained through the implementation of a multimodal approach that exploits deep learning and data fusion techniques while the interaction is achieved through sound signals elaborated with digital signal processing algorithm for the creation of an immersive scenario.
An Innovative System for Driver Monitoring and Vehicle Sound Interaction / Generosi, A.; Bruschi, V.; Cecchi, S.; Dourou, N. A.; Montanari, R.; Mengoni, M.. - (2024), pp. 159-164. (Intervento presentato al convegno 4th IEEE International Workshop on Metrology for Automotive, MetroAutomotive 2024 tenutosi a Palazzo Hercolani, ita nel 2024) [10.1109/METROAUTOMOTIVE61329.2024.10615427].
An Innovative System for Driver Monitoring and Vehicle Sound Interaction
Generosi A.;Bruschi V.;Cecchi S.;Dourou N. A.;Mengoni M.
2024-01-01
Abstract
An important aspect of Advanced Driver-Assistance Systems is the real-time monitoring of the driver and the interaction with him/her. In this scenario, the proposed work is focused on the development of an innovative system capable of analyzing the driver’s state and interact with him/her in a innovative way. In particular, the driver monitoring is obtained through the implementation of a multimodal approach that exploits deep learning and data fusion techniques while the interaction is achieved through sound signals elaborated with digital signal processing algorithm for the creation of an immersive scenario.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
