Abstract
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.
Original language | English |
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Title of host publication | Proceedings of the 2022 IEEE 40th Central America and Panama Convention, CONCAPAN 2022 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9781728167152 |
DOIs | |
State | Published - 2022 |
Event | 40th IEEE Central America and Panama Convention, CONCAPAN 2022 - Panama City, Panama Duration: 9 Nov 2022 → 12 Nov 2022 |
Publication series
Name | Proceedings of the 2022 IEEE 40th Central America and Panama Convention, CONCAPAN 2022 |
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Conference
Conference | 40th IEEE Central America and Panama Convention, CONCAPAN 2022 |
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Country/Territory | Panama |
City | Panama City |
Period | 9/11/22 → 12/11/22 |
Bibliographical note
Publisher Copyright:© 2022 IEEE.
Keywords
- Driving assistant
- Multisensory alert system
- VANET