Applications of unmanned aerial vehicle (UAV) in road safety, traffic and highway infrastructure management: Recent advances and challenges
For next-generation smart cities, small UAVs (also known as drones) are vital to incorporate
in airspace for advancing the transportation systems. This paper presents a review of recent …
in airspace for advancing the transportation systems. This paper presents a review of recent …
A review of vision-based traffic semantic understanding in ITSs
J Chen, Q Wang, HH Cheng, W Peng… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
A semantic understanding of road traffic can help people understand road traffic flow
situations and emergencies more accurately and provide a more accurate basis for anomaly …
situations and emergencies more accurately and provide a more accurate basis for anomaly …
Decentralized edge intelligence: A dynamic resource allocation framework for hierarchical federated learning
To enable the large scale and efficient deployment of Artificial Intelligence (AI), the
confluence of AI and Edge Computing has given rise to Edge Intelligence, which leverages …
confluence of AI and Edge Computing has given rise to Edge Intelligence, which leverages …
UAV assistance paradigm: State-of-the-art in applications and challenges
Abstract Unmanned Aerial Vehicles (UAVs) are an emerging technology with the potential to
be used in industries and various sectors of human life to provide a wide range of …
be used in industries and various sectors of human life to provide a wide range of …
On the new era of urban traffic monitoring with massive drone data: The pNEUMA large-scale field experiment
E Barmpounakis, N Geroliminis - Transportation research part C: emerging …, 2020 - Elsevier
The new era of sharing information and “big data” has raised our expectations to make
mobility more predictable and controllable through a better utilization of data and existing …
mobility more predictable and controllable through a better utilization of data and existing …
Towards federated learning in uav-enabled internet of vehicles: A multi-dimensional contract-matching approach
Coupled with the rise of Deep Learning, the wealth of data and enhanced computation
capabilities of Internet of Vehicles (IoV) components enable effective Artificial Intelligence …
capabilities of Internet of Vehicles (IoV) components enable effective Artificial Intelligence …
Unmanned aerial vehicle for internet of everything: Opportunities and challenges
The recent advances in information and communication technology (ICT) have further
extended Internet of Things (IoT) from the sole “things” aspect to the omnipotent role of …
extended Internet of Things (IoT) from the sole “things” aspect to the omnipotent role of …
Optimal coordinated control of multi-renewable-to-hydrogen production system for hydrogen fueling stations
Under the pressure of climate change, the demands for alternative green hydrogen (H 2)
production methods have been on the rise to conform to the global trend of transition to a H …
production methods have been on the rise to conform to the global trend of transition to a H …
High-resolution vehicle trajectory extraction and denoising from aerial videos
In recent years, unmanned aerial vehicle (UAV) has become an increasingly popular tool for
traffic monitoring and data collection on highways due to its advantage of low cost, high …
traffic monitoring and data collection on highways due to its advantage of low cost, high …
When mobile crowd sensing meets UAV: Energy-efficient task assignment and route planning
With the increasing popularity of unmanned aerial vehicles (UAVs), it is foreseen that they
will play an important role in broadening the horizon of mobile crowd sensing (MCS) …
will play an important role in broadening the horizon of mobile crowd sensing (MCS) …