Simulation of a driving assistant by means of a Multisensory Alert System (MAS)

Alexander V. Medina-Carrión, Esteban F. Ordóñez-Morales, Martin López-Nores, Jack F. Bravo-Torres

Producción científica: Capítulo del libro/informe/acta de congresoContribución de conferenciarevisión exhaustiva

Resumen

This paper presents the design and simulation of a driving assistant established by means of a Multisensory Alert System (MAS). MAS allows to warn the driver about imminent risks, the road situation, the environment surrounding the vehicle and other variables of the vehicle. MAS is established as an integral driving assistance system that enables communication between vehicles (V2V) and with access points located on the road (V2I). MAS is composed of several subsystems that trigger auditory, visual and haptic warnings to better engage the driver's attention according to his or her configuration preferences, resulting in a driving assistant that is much more adaptive to the user's driving profile. MAS indicates visual warnings through a Human Machine Interface (HMI), auditory warnings through the vehicle's speakers and haptic warnings through vibration motors located on the steering wheel and accelerator.

Idioma originalInglés
Título de la publicación alojadaProceedings of the 2022 IEEE 40th Central America and Panama Convention, CONCAPAN 2022
EditorialInstitute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)9781728167152
DOI
EstadoPublicada - 2022
Evento40th IEEE Central America and Panama Convention, CONCAPAN 2022 - Panama City, Panamá
Duración: 9 nov. 202212 nov. 2022

Serie de la publicación

NombreProceedings of the 2022 IEEE 40th Central America and Panama Convention, CONCAPAN 2022

Conferencia

Conferencia40th IEEE Central America and Panama Convention, CONCAPAN 2022
País/TerritorioPanamá
CiudadPanama City
Período9/11/2212/11/22

Nota bibliográfica

Publisher Copyright:
© 2022 IEEE.

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