Driving Behavior Classification Using a ConvLSTM

Driving Behavior Classification Using a ConvLSTM

This work explores the classification of driving behaviors using a hybrid deep learning model that combines Convolutional Neural Networks (CNNs) with Long Short-Term Memory (LSTM) networks (ConvLSTM). Sensor data are collected from a smartphone application and undergo a preprocessing pipeline, inclu...

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Bibliographic Details
Main Authors: Alberto Pingo, João Castro, Paulo Loureiro, Sílvio Mendes, Anabela Bernardino, Rolando Miragaia, Iryna Husyeva
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Future Transportation
Subjects:
artificial intelligence
neural networks
LSTM
RNN
driving classification
Online Access:https://www.mdpi.com/2673-7590/5/2/52
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