[HTML][HTML] A survey of applications of artificial intelligence and machine learning in future mobile networks-enabled systems
Different fields have been thriving with the advents in mobile communication systems in
recent years. These fields reap benefits of data collected by Internet of Things (IoT) in next …
recent years. These fields reap benefits of data collected by Internet of Things (IoT) in next …
Convolutional neural networks for 5G-enabled intelligent transportation system: A systematic review
Abstract Modern 5G-enabled Intelligent Transportation System (ITS) provides comfort and
safety to the end users by using various models and techniques most of which are based on …
safety to the end users by using various models and techniques most of which are based on …
Rope3d: The roadside perception dataset for autonomous driving and monocular 3d object detection task
Concurrent perception datasets for autonomous driving are mainly limited to frontal view
with sensors mounted on the vehicle. None of them is designed for the overlooked roadside …
with sensors mounted on the vehicle. None of them is designed for the overlooked roadside …
The devil is in the details: Self-supervised attention for vehicle re-identification
In recent years, the research community has approached the problem of vehicle re-
identification (re-id) with attention-based models, specifically focusing on regions of a …
identification (re-id) with attention-based models, specifically focusing on regions of a …
I-24 MOTION: An instrument for freeway traffic science
Abstract The Interstate-24 MObility Technology Interstate Observation Network (I-24
MOTION) is a new instrument for traffic science located near Nashville, Tennessee. I-24 …
MOTION) is a new instrument for traffic science located near Nashville, Tennessee. I-24 …
Rcooper: A real-world large-scale dataset for roadside cooperative perception
The value of roadside perception which could extend the boundaries of autonomous driving
and traffic management has gradually become more prominent and acknowledged in recent …
and traffic management has gradually become more prominent and acknowledged in recent …
[HTML][HTML] 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 …
Single-camera and inter-camera vehicle tracking and 3D speed estimation based on fusion of visual and semantic features
Tracking of vehicles across multiple cameras with non-overlapping views has been a
challenging task for the intelligent transportation system (ITS). It is mainly because of high …
challenging task for the intelligent transportation system (ITS). It is mainly because of high …
Electricity: An efficient multi-camera vehicle tracking system for intelligent city
City-scale multi-camera vehicle tracking is an important task in the intelligent city and traffic
management. It is quite challenging with large scale variance, frequent occlusion and …
management. It is quite challenging with large scale variance, frequent occlusion and …
A survey of vehicle re-identification based on deep learning
H Wang, J Hou, N Chen - IEEE Access, 2019 - ieeexplore.ieee.org
Vehicle re-identification is one of the core technologies of intelligent transportation systems,
and it is crucial for the construction of smart cities. With the rapid development of deep …
and it is crucial for the construction of smart cities. With the rapid development of deep …