Recent computer vision applications for pavement distress and condition assessment
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 …
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 …
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)
Collecting up-to-date roadway geometry data is essential for transportation agencies so they
can undertake planning, maintenance, design, and rehabilitation of roadways. Collection …
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
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 …
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
Efficient collection of roadway geometry data is crucial for effective transportation planning,
maintenance, and design. Current methods involve land-based techniques like field …
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
A convolutional neural network based on an improved residual structure is proposed to
implement a lightweight classification model for the recognition of complex pavement …
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 …
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 …
manufacturers and automotive proving ground operators to provide road marking scenarios …
Framework for machine learning-based pavement marking inspection and Geohash-based monitoring
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 …
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
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 …
monitoring cable forces would be beneficial to ensure the safety of bridges. The …