Results 31 to 40 of about 28,765 (281)

A review of monitoring systems of pavement condition in paved and unpaved roads

Journal of Traffic and Transportation Engineering (English ed. Online), 2020
The rising number of vehicles on roadways expedites the urge to increase efforts in implementing monitoring systems that look after road pavement conditions.
Amir Shtayat, Sara Moridpour, Berthold Best, Avinash Shroff, Divyajeetsinh Raol   +4 more
doaj   +1 more source

Vision-Based Automated Pavement Distress Inspection: A Review

IEEE Access
Computer vision and image processing have been extensively researched to enhance road inspection systems, particularly for detecting pavement distress and assessing road surface conditions.
Agus Mulyanto, Riri Fitri Sari, Abdul Muis, Ruki Harwahyu   +3 more
doaj   +1 more source

IMPACT OF IMAGE RESOLUTION ON PAVEMENT DISTRESS DETECTION USING PICUCHA METHODOLOGY [PDF]

Civil Engineering Journal, 2016
An accurate and regular survey of the road surface distresses is a key factor for pavement rehabilitation design and management, allowing public managers to maximize the value of the continuously limited budgets for road improvements and maintenance ...
Reus Salini, Bugao Xu, Mena Souliman
doaj   +1 more source

Unmanned aerial vehicle implementation for pavement condition survey

Transportation Engineering, 2023
The Utilization of Unmanned Aerial Vehicle (UAV) as a vehicle for comprehensive and fast road condition data acquisition is expected to minimize or even replace conventional road condition surveys in the field.
Yackob Astor, Yasuyuki Nabesima, Retno Utami, Atmy Verani Rouly Sihombing, Muhammad Adli, Muhammad Rizki Firdaus   +5 more
doaj   +1 more source

Database Development for Pavement Performance Modeling [PDF]

, 2017
Pavement Management System (PMS) is defined as set of tools or methods that can support decision makers in finding the optimum strategies for providing, evaluating, and maintaining pavement condition in acceptable level.
Alharbi, F. (Fawaz), Smadi, O. (Omar)
core   +1 more source

Fine-Grained Detection of Pavement Distress Based on Integrated Data Using Digital Twin

Applied Sciences, 2023
The automated detection of distress such as cracks or potholes is a key basis for assessing the condition of pavements and deciding on their maintenance.
Weidong Wang, Xinyue Xu, Jun Peng, Wenbo Hu, Dingze Wu   +4 more
doaj   +1 more source

Investigating the Feasibility of Integrating Pavement Friction and Texture Depth Data in Modeling for INDOT PMS [PDF]

, 2012
Under INDOT’s current friction testing program, the friction is measured annually on interstates but only once every three years on non-interstate roadways.
Kowalski, Karol J., McDaniel, Rebecca S.
core   +2 more sources

Bioprinting Organs—Science or Fiction?—A Review From Students to Students

Advanced Healthcare Materials, EarlyView.
Bioprinting artificial organs has the potential to revolutionize the medical field. This is a comprehensive review of the bioprinting workflow delving into the latest advancements in bioinks, materials and bioprinting techniques, exploring the critical stages of tissue maturation and functionality.
Nicoletta Murenu, Camilla Mussoni, Mateo S. Andrade Mier, Paula Buettner, Nathaly Chicaiza‐Cabezas, Yi‐Yu Robin Dai, Jessica Faber, Maren Fiedler, Zan Lamberger, Xuen Jen Ng, Vanessa Moessler, Anna Rederer, Jonas Roeder, Sabrina Stecher, Katinka Theis, Jeanette Weigelt, Silvia Budday, Gregor Lang, Natascha Schaefer   +18 more
wiley   +1 more source

Automated Multi-Type Pavement Distress Segmentation and Quantification Using Transformer Networks for Pavement Condition Index Prediction

Applied Sciences
Pavement distress detection is a crucial task when assessing pavement performance conditions. Here, a novel deep-learning method based on a transformer network, referred to as ISTD-DisNet, is proposed for multi-type pavement distress semantic ...
Zaiyan Zhang, Weidong Song, Yangyang Zhuang, Bing Zhang, Jiachen Wu   +4 more
doaj   +1 more source

Attention-Based Multi-Scale Convolutional Neural Network (A+MCNN) for Multi-Class Classification in Road Images

Sensors, 2021
Automated pavement distress recognition is a key step in smart infrastructure assessment. Advances in deep learning and computer vision have improved the automated recognition of pavement distresses in road surface images.
Elham Eslami, Hae-Bum Yun
doaj   +1 more source