On the Application of Time Frequency Convolutional Neural Networks to Road Anomalies’ Identification with Accelerometers and Gyroscopes

On the Application of Time Frequency Convolutional Neural Networks to Road Anomalies’ Identification with Accelerometers and Gyroscopes

The detection and identification of road anomalies and obstacles in the road infrastructure has been investigated by the research community using different types of sensors. This paper evaluates the detection and identification of road anomalies/obstacles using the data collected from the Inertial M...

Full description

Bibliographic Details
Main Authors: Gianmarco Baldini, Raimondo Giuliani, Filip Geib
Format: Article
Language:English
Published: MDPI AG 2020-11-01
Series:Sensors
Subjects:
convolutional neural networks
deep learning
time-frequency
Inertial Measurement Unit (IMU)
road anomalies
Online Access:https://www.mdpi.com/1424-8220/20/22/6425

Internet

https://www.mdpi.com/1424-8220/20/22/6425

Similar Items