Unlocking the future: fostering human–machine collaboration and driving intelligent automation through industry 5.0 in smart cities
A Adel - Smart Cities, 2023 - mdpi.com
In the quest to meet the escalating demands of citizens, future smart cities emerge as crucial
entities. Their role becomes even more vital given the current challenges posed by rapid …
entities. Their role becomes even more vital given the current challenges posed by rapid …
Aerial: A meta review and discussion of challenges toward unmanned aerial vehicle operations in logistics, mobility, and monitoring
There exists a tremendous number of research surveys on various aspects of UAV logistics,
mobility and monitoring tasks in the literature. These surveys have been published in distinct …
mobility and monitoring tasks in the literature. These surveys have been published in distinct …
[HTML][HTML] Vehicle trajectory dataset from drone videos including off-ramp and congested traffic–Analysis of data quality, traffic flow, and accident risk
Vehicle trajectory data have become essential for many research fields, such as traffic flow,
traffic safety, and automated driving. To make trajectory data useable for researchers, an …
traffic safety, and automated driving. To make trajectory data useable for researchers, an …
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 …
[HTML][HTML] A Low-Cost and Lightweight Real-Time Object-Detection Method Based on UAV Remote Sensing in Transportation Systems
Accurate detection of transportation objects is pivotal for enhancing driving safety and
operational efficiency. In the rapidly evolving domain of transportation systems, the …
operational efficiency. In the rapidly evolving domain of transportation systems, the …
A systematic review of UAV applications for map** neglected and underutilised crop species' spatial distribution and health
Timely, accurate spatial information on the health of neglected and underutilised crop
species (NUS) is critical for optimising their production and food and nutrition in develo** …
species (NUS) is critical for optimising their production and food and nutrition in develo** …
[HTML][HTML] Coordination of drones at scale: Decentralized energy-aware swarm intelligence for spatio-temporal sensing
Smart City applications, such as traffic monitoring and disaster response, often use swarms
of intelligent and cooperative drones to efficiently collect sensor data over different areas of …
of intelligent and cooperative drones to efficiently collect sensor data over different areas of …
Flying sensor and edge network-based advanced air mobility systems: reliability analysis and applications for urban monitoring
Typical structures of monitoring systems (MSs) that are used in urban complex objects
(UCOs)(such as large industrial facilities, power facilities, and others) during the post …
(UCOs)(such as large industrial facilities, power facilities, and others) during the post …
UAV sensor data applications with deep neural networks: a comprehensive survey
Abstract The use of Unmanned Aerial Vehicles (UAVs) has become increasingly popular in
recent years, leading to a surge in research on this topic that is widely represented in the …
recent years, leading to a surge in research on this topic that is widely represented in the …
A secure drone-to-drone communication and software defined drone network-enabled traffic monitoring system
This paper proposes a novel lightweight security-enabled distributed software-defined drone
network (SDDN) for traffic monitoring. Security of drone/Unmanned Aerial Vehicles (UAV) …
network (SDDN) for traffic monitoring. Security of drone/Unmanned Aerial Vehicles (UAV) …