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 …
Traffic analysis through deep-learning-based image segmentation from UAV streaming
Alongside many traditional as well as novel applications, in the latest years, drones have
been widely adopted as remote sensing platforms for road traffic monitoring in urban areas …
been widely adopted as remote sensing platforms for road traffic monitoring in urban areas …
UAV-based traffic analysis: A universal guiding framework based on literature survey
The Unmanned Aerial Vehicles (UAVs) commonly also known as drones are considered as
one of the most dynamic and multi-dimensional emerging technologies of the modern era …
one of the most dynamic and multi-dimensional emerging technologies of the modern era …
A novel Software-Defined Drone Network (SDDN)-based collision avoidance strategies for on-road traffic monitoring and management
In present road traffic system, drone-network based traffic monitoring using the Internet of
Vehicles (IoVs) is a promising solution. However, camera-based traffic monitoring does not …
Vehicles (IoVs) is a promising solution. However, camera-based traffic monitoring does not …
Monitoring and surveillance of urban road traffic using low altitude drone images: a deep learning approach
In the contemporary era, the global explosion of traffic has created many eye-catching
concerns for policymakers. This not only enhances pollution but also leads to several road …
concerns for policymakers. This not only enhances pollution but also leads to several road …
[PDF][PDF] Applications of drones in infrastructures: Challenges and opportunities
J Fan, MA Saadeghvaziri - International Journal of Mechanical and …, 2019 - researchgate.net
Unmanned aerial vehicles (UAVs), also referred to as drones, equipped with various kinds
of advanced detecting or surveying systems, are effective and low-cost in data acquisition …
of advanced detecting or surveying systems, are effective and low-cost in data acquisition …
Target detection and recognition for traffic congestion in smart cities using deep learning-enabled UAVs: A review and analysis
In smart cities, target detection is one of the major issues in order to avoid traffic congestion.
It is also one of the key topics for military, traffic, civilian, sports, and numerous other …
It is also one of the key topics for military, traffic, civilian, sports, and numerous other …
Real-time traffic analysis using deep learning techniques and UAV based video
In urban environments there are daily issues of traffic congestion which city authorities need
to address. Realtime analysis of traffic flow information is crucial for efficiently managing …
to address. Realtime analysis of traffic flow information is crucial for efficiently managing …
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 …
Urban traffic monitoring and analysis using unmanned aerial vehicles (UAVs): A systematic literature review
Unmanned aerial vehicles (UAVs) are gaining considerable interest in transportation
engineering in order to monitor and analyze traffic. This systematic review surveys the …
engineering in order to monitor and analyze traffic. This systematic review surveys the …