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 …

On the application of time frequency convolutional neural networks to road anomalies' identification with accelerometers and gyroscopes

G Baldini, R Giuliani, F Geib - Sensors, 2020 - mdpi.com
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 …

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 …

A scalable, self‐supervised calibration and confounder removal model for opportunistic monitoring of road degradation

W Van Hauwermeiren, K Filipan… - … ‐Aided Civil and …, 2022 - Wiley Online Library
Assessing road degradation typically requires specialized hardware (such as laser
profilometers) or labor‐intensive visual inspection. To facilitate large‐scale, timely inspection …

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 …

Evaluation Study of Inertial Positioning in Road Tunnels for Cooperative ITS Applications

AM Rodriguez, N Khademi - 2023 IEEE 26th International …, 2023 - ieeexplore.ieee.org
Global Navigation Satellite Systems (GNSS) are unreliable positioning sources in road
tunnels, as the satellite signals are unable to reach deep inside the tunnels. As innovative …

One-dimensional convolutional neural network model for abnormal driving behaviors detection using smartphone sensors

J Liu, Y Liu, J Lin, D Wei, X Xia, W Ni… - … Systems of AI (INSAI …, 2021 - ieeexplore.ieee.org
Abnormal driving behavior detection (ADBD) is essential to improving driving safety.
Traditional approaches usually extract features manually, resulting in insufficient exploration …

Enhancing the capabilities of electronic performance tracking system for applications in sports

A Waqar - 2022 - ro.ecu.edu.au
The success of electronic technologies has sparked interest in sports amongst coaches,
athletes and sports scientists. Consequently, the sporting world has witnessed a rapid rise in …

Evaluation Study of Inertial Positioning in Road Tunnels for Cooperative ITS Applications

A Martin Rodriguez, N Khademi - 2023 - uis.brage.unit.no
Global Navigation Satellite Systems (GNSS) are unreliable positioning sources in road
tunnels, as the satellite signals are unable to reach deep inside the tunnels. As innovative …