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) …

Pavement management utilizing mobile crowd sensing

B Tian, Y Yuan, H Zhou, Z Yang - Advances in Civil …, 2020 - Wiley Online Library
Pavement management, which is vital in road transportation and maintenance, is facing
some troubles, such as high costs of labors and machineries, low detecting efficiency, and …

Threshold based efficient road monitoring system using crowdsourcing approach

N Sabir, AA Memon, FK Shaikh - Wireless Personal Communications, 2019 - Springer
This paper describes a road monitoring system using crowdsourcing approach to locate
potholes and speed breakers. The continuous monitoring of the real-time road anomalies …

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 …

[PDF][PDF] Vehicular perception and proprioception based on inertial sensing: a systematic review

J Menegazzo, A Von Wangenheim - Brazilian National Institute for …, 2018 - researchgate.net
Sensory information of vehicular perception has been applied in recent years in a wide
variety of domains such as in supporting decision to intelligent agents in autonomous …

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 …