Offloading in fog computing for IoT: Review, enabling technologies, and research opportunities
The digital world is expanding rapidly and advances in networking technologies such as 4G
long-term evolution (LTE), wireless broadband (WiBro), low-power wide area networks …
long-term evolution (LTE), wireless broadband (WiBro), low-power wide area networks …
A systematic review of drone based road traffic monitoring system
Drone deployment has become crucial in a variety of applications, including solutions to
traffic issues in metropolitan areas and highways. On the other hand, data collected via …
traffic issues in metropolitan areas and highways. On the other hand, data collected via …
Deep PCA based real-time incipient fault detection and diagnosis methodology for electrical drive in high-speed trains
H Chen, B Jiang, N Lu, Z Mao - IEEE Transactions on Vehicular …, 2018 - ieeexplore.ieee.org
Incipient fault detection and diagnosis (FDD) is a key technology for enhancing safety and
reliability of high-speed trains. This paper develops a real-time incipient FDD method named …
reliability of high-speed trains. This paper develops a real-time incipient FDD method named …
Domain adaptation from daytime to nighttime: A situation-sensitive vehicle detection and traffic flow parameter estimation framework
Vehicle detection in traffic surveillance images is an important approach to obtain vehicle
data and rich traffic flow parameters. Recently, deep learning based methods have been …
data and rich traffic flow parameters. Recently, deep learning based methods have been …
A real-time vision system for nighttime vehicle detection and traffic surveillance
This paper presents an effective traffic surveillance system for detecting and tracking moving
vehicles in nighttime traffic scenes. The proposed method identifies vehicles by detecting …
vehicles in nighttime traffic scenes. The proposed method identifies vehicles by detecting …
An efficient optimal neural network-based moving vehicle detection in traffic video surveillance system
This paper presents an effective traffic video surveillance system for detecting moving
vehicles in traffic scenes. Moving vehicle identification process on streets is utilized for …
vehicles in traffic scenes. Moving vehicle identification process on streets is utilized for …
QoI-aware multitask-oriented dynamic participant selection with budget constraints
By using increasingly popular smartphones, participatory sensing systems can collect
comprehensive sensory data to retrieve context-aware information for different applications …
comprehensive sensory data to retrieve context-aware information for different applications …
Image-based learning to measure traffic density using a deep convolutional neural network
J Chung, K Sohn - IEEE Transactions on Intelligent …, 2017 - ieeexplore.ieee.org
Existing methodologies to count vehicles from a road image have depended upon both
hand-crafted feature engineering and rule-based algorithms. These require many …
hand-crafted feature engineering and rule-based algorithms. These require many …
[HTML][HTML] 3d-net: Monocular 3d object recognition for traffic monitoring
Abstract Machine Learning has played a major role in various applications including
Autonomous Vehicles and Intelligent Transportation Systems. Utilizing a deep convolutional …
Autonomous Vehicles and Intelligent Transportation Systems. Utilizing a deep convolutional …
[PDF][PDF] Automatic traffic density estimation and vehicle classification for traffic surveillance systems using neural networks
It is important to know the road traffic density real time especially in mega cities for signal
control and effective traffic management. In recent years, video monitoring and surveillance …
control and effective traffic management. In recent years, video monitoring and surveillance …