Mobile edge computing and machine learning in the internet of unmanned aerial vehicles: a survey

Z Ning, H Hu, X Wang, L Guo, S Guo, G Wang… - ACM Computing …, 2023 - dl.acm.org
Unmanned Aerial Vehicles (UAVs) play an important role in the Internet of Things and form
the paradigm of the Internet of UAVs, due to their characteristics of flexibility, mobility, and …

How simulation helps autonomous driving: A survey of sim2real, digital twins, and parallel intelligence

X Hu, S Li, T Huang, B Tang, R Huai… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Developing autonomous driving technologies necessitates addressing safety and cost
concerns. Both academic research and commercial applications of autonomous driving …

A multi-strategy improved differential evolution algorithm for UAV 3D trajectory planning in complex mountainous environments

M Zhang, Y Han, S Chen, M Liu, Z He, N Pan - Engineering Applications of …, 2023 - Elsevier
In response to the complexity of power repair in mountainous areas and the limitations of
traditional vehicles due to terrain constraints, this study focuses on the three-dimensional …

A cyber-physical social system for autonomous drone trajectory planning in last-mile superchilling delivery

H Liu, YP Tsang, CKM Lee - Transportation Research Part C: Emerging …, 2024 - Elsevier
Logistics drones are theoretically advantageous in automating last-mile delivery activities,
but practically challenging in urban environments, including public concerns about risk of …

[HTML][HTML] Study on an autonomous distribution system for smart parks based on parallel system theory against the background of Industry 5.0

S Ma, H Liu, N Pan, S Wang - Journal of King Saud University-Computer …, 2023 - Elsevier
The autonomous distribution systems used in smart parks against the background of
Industry 5.0 require not only the consideration of the single goal of the economic benefits of …

[HTML][HTML] Industry 5.0: Tracking scientific activity on the most influential industries, associated topics, and future research agenda

L Espina-Romero, J Guerrero-Alcedo, N Goñi Avila… - Sustainability, 2023 - mdpi.com
Industry 5.0 arrived and sounded the alarms, warning entrepreneurs to adopt it as quickly as
possible; the advantage is that this industry is still in its preliminary stages. However, there is …

AI-based energy-efficient path planning of multiple logistics UAVs in intelligent transportation systems

P Du, X He, H Cao, S Garg, G Kaddoum… - Computer …, 2023 - Elsevier
In the context of Industry 5.0, artificial intelligence (AI)-based logistics Unmanned Aerial
Vehicles (UAVs) have been widely applied in intelligent transportation systems due to their …

B-APFDQN: A UAV path planning algorithm based on deep Q-network and artificial potential field

F Kong, Q Wang, S Gao, H Yu - IEEE Access, 2023 - ieeexplore.ieee.org
Deep Q-network (DQN) is one of the standard methods to solve the Unmanned Aerial
Vehicle (UAV) path planning problem. However, the way agent deepens its cognition of the …

Consumer Personalized Gesture Recognition in UAV Based Industry 5.0 Applications

P Paikrao, S Routray, A Mukherjee… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
In the era of Industry 5.0, technology promises the rapid and smart growth of industries to
improve the system performance substantially and be sustainable and more secure. Industry …

UAV trajectory planning for complex open storage environments based on an improved RRT algorithm

J Zhang, Y An, J Cao, S Ouyang, L Wang - IEEE Access, 2023 - ieeexplore.ieee.org
Multi-rotor UAVs (Unmanned Aerial Vehicles) have been increasingly used for hazardous
inspection tasks in complex open-air warehouse storage environments due to their high …