Microphone array for speaker localization and identification in shared autonomous vehicles

With the current technological transformation in the automotive industry, autonomous vehicles are getting closer to the Society of Automative Engineers (SAE) automation level 5. This level corresponds to the full vehicle automation, where the driving system autonomously monitors and navigates the en...

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Detalhes bibliográficos
Autor principal: Marques, Ivo Cruz (author)
Outros Autores: Sousa, João (author), Sá, Bruno Vilaça (author), Costa, Diogo (author), Sousa, Pedro (author), Pereira, Samuel (author), Santos, Afonso Manuel Macedo (author), Lima, Carlos (author), Hammerschmidt, Niklas (author), Pinto, Sandro (author), Gomes, Tiago Manuel Ribeiro (author)
Formato: article
Idioma:eng
Publicado em: 2022
Assuntos:
Texto completo:https://hdl.handle.net/1822/79083
País:Portugal
Oai:oai:repositorium.sdum.uminho.pt:1822/79083
Descrição
Resumo:With the current technological transformation in the automotive industry, autonomous vehicles are getting closer to the Society of Automative Engineers (SAE) automation level 5. This level corresponds to the full vehicle automation, where the driving system autonomously monitors and navigates the environment. With SAE-level 5, the concept of a Shared Autonomous Vehicle (SAV) will soon become a reality and mainstream. The main purpose of an SAV is to allow unrelated passengers to share an autonomous vehicle without a driver/moderator inside the shared space. However, to ensure their safety and well-being until they reach their final destination, active monitoring of all passengers is required. In this context, this article presents a microphone-based sensor system that is able to localize sound events inside an SAV. The solution is composed of a Micro-Electro-Mechanical System (MEMS) microphone array with a circular geometry connected to an embedded processing platform that resorts to Field-Programmable Gate Array (FPGA) technology to successfully process in the hardware the sound localization algorithms.