Estimating Vehicle Movement Direction from Smartphone Accelerometers Using Deep Neural Networks

Estimating Vehicle Movement Direction from Smartphone Accelerometers Using Deep Neural Networks

Characterization of driving maneuvers or driving styles through motion sensors has become a field of great interest. Before now, this characterization used to be carried out with signals coming from extra equipment installed inside the vehicle, such as On-Board Diagnostic (OBD) devices or sensors in...

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Bibliographic Details
Main Authors: Sara Hernández Sánchez, Rubén Fernández Pozo, Luis A. Hernández Gómez
Format: Article
Language:English
Published: MDPI AG 2018-08-01
Series:Sensors
Subjects:
driving characterization
vehicle movement direction (VMD)
accelerometers
Deep Learning
CNN
GRU
t-SNE
PCA
Online Access:http://www.mdpi.com/1424-8220/18/8/2624

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