Cooperative motion planning and control for aerial-ground autonomous systems: Methods and applications

R Chai, Y Guo, Z Zuo, K Chen, HS Shin… - Progress in Aerospace …, 2024 - Elsevier
This review article offers an in-depth analysis of cooperative motion planning and control in
aerial-ground autonomous systems, emphasizing their methods and applications. It explores …

Connecting Internet of Drones and urban computing: Methods, protocols and applications

LMS Bine, A Boukerche, LB Ruiz, AAF Loureiro - Computer Networks, 2024 - Elsevier
This comprehensive survey explores the connection between the Internet of Drones (IoD)
and Urban Computing (UC). Drones offer substantial benefits across diverse urban …

[HTML][HTML] Revolutionizing RPAS logistics and reducing CO2 emissions with advanced RPAS technology for delivery systems

A Mahmoodi, L Hashemi, J Laliberte, RC Millar… - Cleaner Logistics and …, 2024 - Elsevier
To manage remotely piloted aircraft system (RPAS) networks effectively, this research
presents a multi-objective location-routing optimization model. This model integrates time …

AiCareBreath: IoT enabled location invariant novel unified model for predicting air pollutants to avoid related respiratory disease

J Borah, S Kumar, N Kumar… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
This article presents a location-invariant air pollution prediction model with good geographic
generalizability. The model uses a light GBR as part of a machine-learning framework to …

Other's shoes also fit well: AI technologies contribute to China's blue skies as well as carbon reduction

Z Chu, P Chen, Z Zhang, Z Chen - Journal of Environmental Management, 2024 - Elsevier
Artificial intelligence (AI) technology represents a disruptive innovation that has garnered
significant interest among researchers for its potential applications in ecological and …

Toward the resilience of UAV swarms with percolation theory under attacks

T Hu, Y Zong, N Lu, B Jiang - Reliability Engineering & System Safety, 2025 - Elsevier
Unmanned aerial swarms have been widely applied across various domains. The security of
swarms against attacks has been of significance. However, there still exists a lack of …

Adaptive Truck Platooning with Drones: A Decentralized Approach for Highway Monitoring

J De Curtò, I de Zarzà, JC Cano, P Manzoni… - Electronics, 2023 - mdpi.com
The increasing demand for efficient and safe transportation systems has led to the
development of autonomous vehicles and vehicle platooning. Truck platooning, in particular …

A swarm anomaly detection model for IoT UAVs based on a multi-modal denoising autoencoder and federated learning

Y Lu, T Yang, C Zhao, W Chen, R Zeng - Computers & Industrial …, 2024 - Elsevier
The widespread application of unmanned aerial vehicle (UAV) swarms has posed unique
challenges for anomaly detection. Multi-modal noise from multi-source heterogeneous …

Strong Electromagnetic Interference and Protection in UAVs

Z Zhang, Y Zhou, Y Zhang, B Qian - Electronics, 2024 - mdpi.com
With the proliferation of unmanned aerial vehicles (UAVs) and the escalating
electromagnetic environment in space, there has been growing attention and research focus …

An Edge and Trustworthy AI UAV System With Self-Adaptivity and Hyperspectral Imaging for Air Quality Monitoring

CH Huang, WT Chen, YC Chang… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
Leveraging the mobility and flexibility of unmanned aerial vehicles (UAVs), the proposed
edge and trustworthy artificial intelligence (AI) UAV system (ETAUS) offers a comprehensive …