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 …
Traffic management approaches using machine learning and deep learning techniques: A survey
Traffic management is improved in cutting-edge smart cities using technologies such as
machine learning and deep learning to streamline daily tasks and boost productivity …
machine learning and deep learning to streamline daily tasks and boost productivity …
Accurate road user localization in aerial images captured by unmanned aerial vehicles
Unmanned aerial vehicles (UAVs) have become increasingly popular for traffic data
collection. However, the depth relief of road users and the perspective distortion of the …
collection. However, the depth relief of road users and the perspective distortion of the …
Modeling on resource allocation for age-sensitive mobile edge computing using federated multi-agent reinforcement learning
C Wang, T Yao, T Fan, S Peng, C Xu… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Existing mobile-edge computing (MEC) systems are facing the challenges of limited
resources and highly dynamic network environments. How to allocate resources to maintain …
resources and highly dynamic network environments. How to allocate resources to maintain …
A survey on applications of unmanned aerial vehicles using machine learning
Unmanned Aerial Vehicles (UAVs) play an important role in many applications, including
health, transport, telecommunications and safe and rescue operations. Their adoption can …
health, transport, telecommunications and safe and rescue operations. Their adoption can …
UAV-assisted Abnormal Vehicle Behavior Detection in Internet of Vehicles
Q Xu, L Zhao, Z Su - 2021 40th Chinese control conference …, 2021 - ieeexplore.ieee.org
With advantages of low cost, high mobility, and flexible deployment, unmanned aerial
vehicle (UAVs) are employed to efficiently detect abnormal vehicle behaviors (AVBs) in the …
vehicle (UAVs) are employed to efficiently detect abnormal vehicle behaviors (AVBs) in the …
Relative velocity model to locate traffic accident with aerial cameras and YOLOv4
TJ Hng, EL Weilie, CS Wei… - 2021 13th International …, 2021 - ieeexplore.ieee.org
The ambulance response time for trauma incidents depends on location and traffic
conditions. High congestion noticeably increases the ambulance response time, causing …
conditions. High congestion noticeably increases the ambulance response time, causing …
Visual Tracking of Suspicious Entities through Unmanned Aerial Vehicles in Conflicted Areas, Structures and Urban Regions
MAG De Menezes, PFF Rosa… - 2023 Latin American …, 2023 - ieeexplore.ieee.org
In response to security and surveillance needs, unmanned aerial vehicles are being
employed to carry out monitoring and target identification in conflict scenarios, such as areas …
employed to carry out monitoring and target identification in conflict scenarios, such as areas …
Design and Development of a Real-Time Traffic Congestion Analysis System
R Aswathi, U Jahnavi, H Yukta, A Ayush… - 2022 International …, 2022 - ieeexplore.ieee.org
The number of vehicles on the road has drastically increased over the years, and it has
become the need of the hour to monitor and analyze traffic congestion in real-time. With …
become the need of the hour to monitor and analyze traffic congestion in real-time. With …
[引用][C] Veículos Aéreos Não Tripulados para a Vigilância de Áreas Urbanas em Cidades Inteligentes
MAG de Menezes, EM Moreira, HA Sá, PFF Rosa - Workshop Brasileiro de …, 2022 - SBC