Machine learning techniques for pavement condition evaluation
N Sholevar, A Golroo, SR Esfahani - Automation in Construction, 2022 - Elsevier
Pavement management systems play a significant role in country's economy since road
authorities are concerned about preserving their priceless road assets for a longer time to …
authorities are concerned about preserving their priceless road assets for a longer time to …
[HTML][HTML] Road condition monitoring using smart sensing and artificial intelligence: A review
Road condition monitoring (RCM) has been a demanding strategic research area in
maintaining a large network of transport infrastructures. With advancements in computer …
maintaining a large network of transport infrastructures. With advancements in computer …
Edge AI‐Based Automated Detection and Classification of Road Anomalies in VANET Using Deep Learning
Road surface defects are crucial problems for safe and smooth traffic flow. Due to climate
changes, low quality of construction material, large flow of traffic, and heavy vehicles, road …
changes, low quality of construction material, large flow of traffic, and heavy vehicles, road …
Pothole and plain road classification using adaptive mutation dipper throated optimization and transfer learning for self driving cars
Self-driving car plays a crucial role in implementing traffic intelligence. Road smoothness in
front of self-driving cars has a significant impact on the car's driving safety and comfort …
front of self-driving cars has a significant impact on the car's driving safety and comfort …
Computer vision applications in construction safety assurance
Advancements in the development of deep learning and computer vision-based approaches
have the potential to provide managers and engineers with the ability to improve the safety …
have the potential to provide managers and engineers with the ability to improve the safety …
Pothole detection using computer vision and learning
Techniques for identifying potholes on road surfaces aim at developing strategies for real-
time or offline identification of potholes, to support real-time control of a vehicle (for driver …
time or offline identification of potholes, to support real-time control of a vehicle (for driver …
[HTML][HTML] Efficient single and dual axis solar tracking system controllers based on adaptive neural fuzzy inference system
Artificial Intelligence is widely used in solar applications. Adaptive Neural Fuzzy Inference
System (ANFIS) principle is one of the intelligent techniques that is sufficient to be used in …
System (ANFIS) principle is one of the intelligent techniques that is sufficient to be used in …
Scanning electron microscopy (SEM) image segmentation for microstructure analysis of concrete using U-net convolutional neural network
Scanning electron microscopy (SEM) images are used to evaluate the microstructure of the
concrete, there still remains challenges as the current methods are semi-automated, non …
concrete, there still remains challenges as the current methods are semi-automated, non …
Computer vision for road imaging and pothole detection: a state-of-the-art review of systems and algorithms
Computer vision algorithms have been utilized for 3-D road imaging and pothole detection
for over two decades. Nonetheless, there is a lack of systematic survey articles on state-of …
for over two decades. Nonetheless, there is a lack of systematic survey articles on state-of …
[HTML][HTML] Review of laser scanning technologies and their applications for road and railway infrastructure monitoring
M Soilán, A Sánchez-Rodríguez, P del Río-Barral… - Infrastructures, 2019 - mdpi.com
Improving the resilience of infrastructures is key to reduce their risk vulnerability and mitigate
impact from hazards at different levels (eg, from increasing extreme events, driven by climate …
impact from hazards at different levels (eg, from increasing extreme events, driven by climate …