Deep learning for time series forecasting: a survey
Time series forecasting has become a very intensive field of research, which is even
increasing in recent years. Deep neural networks have proved to be powerful and are …
increasing in recent years. Deep neural networks have proved to be powerful and are …
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 …
An automated machine-learning approach for road pothole detection using smartphone sensor data
Road surface monitoring and maintenance are essential for driving comfort, transport safety
and preserving infrastructure integrity. Traditional road condition monitoring is regularly …
and preserving infrastructure integrity. Traditional road condition monitoring is regularly …
Review of recent automated pothole-detection methods
YM Kim, YG Kim, SY Son, SY Lim, BY Choi, DH Choi - Applied Sciences, 2022 - mdpi.com
Potholes, a kind of road defect, can damage vehicles and negatively affect drivers' safe
driving, and in severe cases can lead to traffic accidents. Efficient and preventive …
driving, and in severe cases can lead to traffic accidents. Efficient and preventive …
Convolution neural networks for pothole detection of critical road infrastructure
A well developed and maintained highway infrastructure is essential for the economic and
social prosperity of modern societies. Highway maintenance poses significant challenges …
social prosperity of modern societies. Highway maintenance poses significant challenges …
Multisensory data fusion-based deep learning approach for fault diagnosis of an industrial autonomous transfer vehicle
The integration of Industry 4.0 concepts into today's manufacturing settings has introduced
new technology tools that have already started providing companies an increased level of …
new technology tools that have already started providing companies an increased level of …
RCNet: road classification convolutional neural networks for intelligent vehicle system
DK Dewangan, SP Sahu - Intelligent Service Robotics, 2021 - Springer
Vision-based techniques for intelligent vehicles in heterogeneous road environments are
gaining significant attention from researchers and industrialists. Unfortunately, the …
gaining significant attention from researchers and industrialists. Unfortunately, the …
[HTML][HTML] Deep learning based detection and localization of road accidents from traffic surveillance videos
Real-world traffic surveillance videos need continuous supervision to monitor and take
appropriate actions in case of fatal accidents. However, continuously monitoring them with …
appropriate actions in case of fatal accidents. However, continuously monitoring them with …