Road surface type classification based on inertial sensors and machine learning: A comparison between classical and deep machine learning approaches for multi …

J Menegazzo, A Von Wangenheim - Computing, 2021 - Springer
The demand for several sources of situational data from the traffic environment has
intensified in recent years, through the development of applications in intelligent transport …

Vehicular perception based on inertial sensing: A structured mapping of approaches and methods

J Menegazzo, A von Wangenheim - SN Computer Science, 2020 - Springer
In this paper, we present a structured literature mapping of the state-of-the-art of vehicular
perception methods and approaches using inertial sensors. An in-depth investigation and …

Multi-contextual and multi-aspect analysis for road surface type classification through inertial sensors and deep learning

J Menegazzo… - 2020 X Brazilian …, 2020 - ieeexplore.ieee.org
The demand for a variety of situational data from the traffic environment and its participants
has intensified with the development of applications in Intelligent Transport Systems (ITS) …

[PDF][PDF] A Comprehensive Evaluation of State-of-the-Art Deep Learning Models for Road Surface Type Classification.

N Hnoohom, S Mekruksavanich… - Intelligent Automation & …, 2023 - researchgate.net
In recent years, as intelligent transportation systems (ITS) such as autonomous driving and
advanced driver-assistance systems have become more popular, there has been a rise in …

Speed Bump Detection Through Inertial Sensors and Deep Learning in a Multi-contextual Analysis

J Menegazzo, A von Wangenheim - SN Computer Science, 2022 - Springer
Speed bumps are vertical raisings of the road pavement used to force drivers to slow down
to ensure greater safety in traffic. However, these obstacles have disadvantages in terms of …

Road surface type classification based on inertial sensors and machine learning

M Jeferson - Computing. Archives for Informatics and …, 2021 - search.proquest.com
The demand for several sources of situational data from the traffic environment has
intensified in recent years, through the development of applications in intelligent transport …

Classificação de Qualidade de Superfície de Pista Baseado em Sensoriamento Inercial e Lógica Fuzzy

J Menegazzo, JT Brignoli… - Anais do Computer on …, 2019 - periodicos.univali.br
The quality of terrestrial transport infrastructure has social, economic and environmental
implications. Consequently, the continuous monitoring of your conservation status is …