Recent computer vision applications for pavement distress and condition assessment

H Ayman, MW Fakhr - Automation in Construction, 2023 - Elsevier
Amidst the unprecedented demographic boom, coupled with climate change, more pressure
is being exerted on road networks. Asset managers are thus in search for time and cost …

[HTML][HTML] Microplastics and road markings: the role of glass beads and loss estimation

TE Burghardt, A Pashkevich, D Babić… - … research part D …, 2022 - Elsevier
Road markings are often listed amongst meaningful contributors to pollution with
microplastics. However, the reported estimates do not address the renewal frequency and its …

Detecting School Zones on Florida's Public Roadways Using Aerial Images and Artificial Intelligence (AI2)

RB Antwi, S Takyi, A Karaer… - Transportation …, 2024 - journals.sagepub.com
Collecting up-to-date roadway geometry data is essential for transportation agencies so they
can undertake planning, maintenance, design, and rehabilitation of roadways. Collection …

Turning Features Detection from Aerial Images: Model Development and Application on Florida's Public Roadways

RB Antwi, M Kimollo, SY Takyi, EE Ozguven, T Sando… - Smart Cities, 2024 - mdpi.com
Advancements in computer vision are rapidly revolutionizing the way traffic agencies gather
roadway geometry data, leading to significant savings in both time and money. Utilizing …

Computer vision-based model for detecting turning lane features on Florida's public roadways from aerial images

RB Antwi, S Takyi, M Kimollo, A Karaer… - Transportation …, 2024 - Taylor & Francis
Efficient collection of roadway geometry data is crucial for effective transportation planning,
maintenance, and design. Current methods involve land-based techniques like field …

Automatic pavement defect detection and classification using RGB-thermal images based on hierarchical residual attention network

C Chen, S Chandra, H Seo - Sensors, 2022 - mdpi.com
A convolutional neural network based on an improved residual structure is proposed to
implement a lightweight classification model for the recognition of complex pavement …

Evaluating Pavement Lane Markings in Metropolitan Road Networks with a Vehicle-Mounted Retroreflectometer and AI-Based Image Processing Techniques

S Lee, BH Cho - Remote Sensing, 2023 - mdpi.com
The objectives of this study were to evaluate pavement lane markings in a metropolitan road
network and to develop a maintenance strategy for safe daytime and night-time driving. To …

[HTML][HTML] Temporary Road Marking Paint for Vehicle Perception Tests

N Katzorke, LM Langwaldt, L Schunggart - Applied Sciences, 2024 - mdpi.com
Featured Application The gained knowledge can be applied by road marking material
manufacturers and automotive proving ground operators to provide road marking scenarios …

Framework for machine learning-based pavement marking inspection and Geohash-based monitoring

Y Kim, K Song, K Kang - International Conference on Transportation …, 2022 - ascelibrary.org
Pavement markings play a critical role in reducing crashes and improving safety on public
roads. Although inspecting pavement markings at the right moment is essential, it is …

Research on non-contact and non-fixed cable force measurement based on smartphone

Y Wang, K Li, Y Chen, S Xu, W Shou - Applied Sciences, 2021 - mdpi.com
Stay cable is the major load-carrying element in cable-stayed bridges. The process of
monitoring cable forces would be beneficial to ensure the safety of bridges. The …