A review of road surface anomaly detection and classification systems based on vibration-based techniques

EA Martinez-Ríos, MR Bustamante-Bello… - Applied Sciences, 2022 - mdpi.com
Road surfaces suffer from sources of deterioration, such as weather conditions, constant
usage, loads, and the age of the infrastructure. These sources of decay generate anomalies …

An exploration of recent intelligent image analysis techniques for visual pavement surface condition assessment

WS Qureshi, SI Hassan, S McKeever, D Power, B Mulry… - Sensors, 2022 - mdpi.com
Road pavement condition assessment is essential for maintenance, asset management, and
budgeting for pavement infrastructure. Countries allocate a substantial annual budget to …

[HTML][HTML] Deep learning framework for intelligent pavement condition rating: A direct classification approach for regional and local roads

WS Qureshi, D Power, I Ullah, B Mulry… - Automation in …, 2023 - Elsevier
Transport authorities rely on pavement characteristics to determine a pavement condition
rating index. However, manually computing ratings can be a tedious, subjective, time …

Estimation of road surface type from brake pressure pulses of ABS

H Yiğit, H Köylü, S Eken - Expert Systems with Applications, 2023 - Elsevier
The ABS braking system uses the coefficient of friction over the slip rate to vary the brake
pressure. For this, it references the friction coefficient-slip graph embedded in the ABS …

Application of advanced deep convolutional neural networks for the recognition of road surface anomalies

DD Van - Engineering, Technology & Applied Science Research, 2023 - etasr.com
The detection of road surface anomalies is a crucial task for modern traffic monitoring
systems. In this paper, we used the YOLOv8 network,-a state-of-the-art convolutional neural …

Identifying the most suitable machine learning approach for a road digital twin

K Chen, M Eskandari Torbaghan, M Chu… - Proceedings of the …, 2022 - icevirtuallibrary.com
Road infrastructure systems have been suffering from ineffective maintenance strategies,
exaggerated by budget restrictions. A more holistic road-asset-management approach …

[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 …

Augmenting driver's situational awareness using smartphones in vanets

R Chhabra, CR Krishna, S Verma - Arabian Journal for Science and …, 2022 - Springer
IEEE 802.11 p is an established standard for Wireless Access in Vehicular Environment
(WAVE) to support Intelligent Transportation System (ITS), which is one of the most …

Supervised learning study on ground classification and state recognition of agricultural robots based on multi-source vibration data fusion

J Guo, S Wang, Y Mao, G Wang, G Wu, Y Wu… - … and Electronics in …, 2024 - Elsevier
In agricultural environments, recognizing the walking ground and state of tracked mobile
robots is a complex and challenging task, influenced by clay conditions and other external …

Evaluation of data representation techniques for vibration based road surface condition classification

E Raslan, MF Alrahmawy, YA Mohammed, AS Tolba - Scientific reports, 2024 - nature.com
The accurate classification of road surface conditions plays a vital role in ensuring road
safety and effective maintenance. Vibration-based techniques have shown promise in this …