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 …
Networked unmanned aerial vehicles for surveillance and monitoring: A survey
As a typical cyber-physical system, networked unmanned aerial vehicles (UAVs) have
received much attention in recent years. Emerging communication technologies and high …
received much attention in recent years. Emerging communication technologies and high …
Decentralized autonomous navigation of a UAV network for road traffic monitoring
With the increase of population and the fast growth of private vehicle ownership in urban
areas, many roads have become more congested than ever before. The road traffic …
areas, many roads have become more congested than ever before. The road traffic …
Path planning of multiple UAVs with online changing tasks by an ORPFOA algorithm
K Li, F Ge, Y Han, W Xu - Engineering Applications of Artificial …, 2020 - Elsevier
The unmanned aerial vehicle (UAV) is a new type oilfield inspection tool which is
characterized by high flexibility, low cost and high efficiency. In the UAV based oilfield …
characterized by high flexibility, low cost and high efficiency. In the UAV based oilfield …
A robust deep learning approach for automatic iranian vehicle license plate detection and recognition for surveillance systems
The process of detecting vehicles' license plates, along with recognizing the characters
inside them, has always been a challenging issue due to various conditions. These …
inside them, has always been a challenging issue due to various conditions. These …
A dual-population evolutionary algorithm based on adaptive constraint strength for constrained multi-objective optimization
It is challenging to balance convergence and diversity while fully satisfying feasibility when
dealing with constrained multi-objective optimization problems (CMOPs). Overemphasizing …
dealing with constrained multi-objective optimization problems (CMOPs). Overemphasizing …
Navigation of a UAV network for optimal surveillance of a group of ground targets moving along a road
With the rapid increase of vehicles in recent years, traffic surveillance becomes a crucial
issue of traffic management. Since the traditional static sensor-based surveillance system …
issue of traffic management. Since the traditional static sensor-based surveillance system …
Traffic congestion-aware graph-based vehicle rerouting framework from aerial imagery
In digital era, being stranded from very basic telecommunication protocols and internet
makes vehicle rerouting-like crucial tools more difficult or even impossible, especially in …
makes vehicle rerouting-like crucial tools more difficult or even impossible, especially in …
High-resolution traffic sensing with probe autonomous vehicles: A data-driven approach
Recent decades have witnessed the breakthrough of autonomous vehicles (AVs), and the
sensing capabilities of AVs have been dramatically improved. Various sensors installed on …
sensing capabilities of AVs have been dramatically improved. Various sensors installed on …
Modeling and path planning for persistent surveillance by unmanned ground vehicle
T Wang, P Huang, G Dong - IEEE Transactions on Automation …, 2020 - ieeexplore.ieee.org
This article proposes a novel modeling and path planning framework to tackle a new
problem, named road-network persistent surveillance problem (RPSP), in which the …
problem, named road-network persistent surveillance problem (RPSP), in which the …