Using deep autoencoders for in-vehicle audio anomaly detection

Current developments on self-driving cars has led to an increasing interest on autonomous shared taxicabs. While most self-driving car technologies focus on the outside environment, there is also a need to provide in-vehicle intelligence (e.g., detect health and safety issues related with the curren...

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Detalhes bibliográficos
Autor principal: Pereira, Pedro José (author)
Outros Autores: Coelho, Gabriel José Dias (author), Ribeiro, Alexandrine (author), Matos, Luís Miguel Rocha (author), Nunes, Eduardo Carvalho (author), Ferreira, André (author), Pilastri, André Luiz (author), Cortez, Paulo (author)
Formato: conferencePaper
Idioma:eng
Publicado em: 2021
Assuntos:
Anomaly Detection
Audio Input Representation
Deep Learning
In-vehicle Data
Unsupervised Learning
Autoencoder
Ciências Naturais::Ciências da Computação e da Informação
Science & Technology
Indústria, inovação e infraestruturas
Texto completo:http://hdl.handle.net/1822/73977
País:Portugal
Oai:oai:repositorium.sdum.uminho.pt:1822/73977

Texto Completo

http://hdl.handle.net/1822/73977

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