Edge-computing video analytics for real-time traffic monitoring in a smart city
The increasing development of urban centers brings serious challenges for traffic
management. In this paper, we introduce a smart visual sensor, developed for a pilot project …
management. In this paper, we introduce a smart visual sensor, developed for a pilot project …
Deep learning serves traffic safety analysis: A forward‐looking review
This paper explores deep learning (DL) methods that are used or have the potential to be
used for traffic video analysis, emphasising driving safety for both autonomous vehicles and …
used for traffic video analysis, emphasising driving safety for both autonomous vehicles and …
[HTML][HTML] Deep learning-based object detection and scene perception under bad weather conditions
Large cities' expanding populations are causing traffic congestion. The maintenance of the
city's road network necessitates ongoing monitoring, growth, and modernization. An …
city's road network necessitates ongoing monitoring, growth, and modernization. An …
Transfer learning-based road damage detection for multiple countries
Many municipalities and road authorities seek to implement automated evaluation of road
damage. However, they often lack technology, know-how, and funds to afford state-of-the-art …
damage. However, they often lack technology, know-how, and funds to afford state-of-the-art …
Traffic flow estimation with data from a video surveillance camera
This study addresses the problem of traffic flow estimation based on the data from a video
surveillance camera. Target problem here is formulated as counting and classifying vehicles …
surveillance camera. Target problem here is formulated as counting and classifying vehicles …
Forecasting the passage time of the queue of highly automated vehicles based on neural networks in the services of cooperative intelligent transport systems
V Shepelev, S Zhankaziev, S Aliukov, V Varkentin… - Mathematics, 2022 - mdpi.com
This study addresses the problem of non-stop passage by vehicles at intersections based on
special processing of data from a road camera or video detector. The basic task in this article …
special processing of data from a road camera or video detector. The basic task in this article …
Real-time monitoring of traffic parameters
K Khazukov, V Shepelev, T Karpeta, S Shabiev… - Journal of Big …, 2020 - Springer
This study deals with the problem of rea-time obtaining quality data on the road traffic
parameters based on the static street video surveillance camera data. The existing road …
parameters based on the static street video surveillance camera data. The existing road …
Cloud versus edge deployment strategies of real-time face recognition inference
Choosing the appropriate deployment strategy for any Deep Learning (DL) project in a
production environment has always been the most challenging problem for industrial …
production environment has always been the most challenging problem for industrial …
Deep Learning-Based Computer Vision Methods for Complex Traffic Environments Perception: A Review
Computer vision applications in intelligent transportation systems (ITS) and autonomous
driving (AD) have gravitated towards deep neural network architectures in recent years …
driving (AD) have gravitated towards deep neural network architectures in recent years …
Strategies in training deep learning models to extract building from multisource images with small training sample sizes
Building extraction from remote sensing data is an important topic in urban studies and the
deep learning methods have an increasing role due to their minimal requirements in training …
deep learning methods have an increasing role due to their minimal requirements in training …