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 …

[HTML][HTML] Unmanned aerial vehicles for search and rescue: A survey

M Lyu, Y Zhao, C Huang, H Huang - Remote Sensing, 2023 - mdpi.com
In recent years, unmanned aerial vehicles (UAVs) have gained popularity due to their
flexibility, mobility, and accessibility in various fields, including search and rescue (SAR) …

Convex Optimization-Based Trajectory Planning for Quadrotors Landing on Aerial Vehicle Carriers

Z Shen, G Zhou, H Huang, C Huang… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
This paper presents a novel trajectory planning algorithm for quadrotors landing on aerial
vehicle carriers (AVCs). The algorithm involves a quadrotor trajectory planning method …

[HTML][HTML] Integration of UAVs with public transit for delivery: Quantifying system benefits and policy implications

S Cui, Y Yang, K Gao, H Cui, A Najafi - Transportation Research Part A …, 2024 - Elsevier
The maturation and scalability of unmanned aerial vehicle (UAV) technology offer
transformative opportunities to revolutionize prompt delivery. This study explores integrating …

[HTML][HTML] Path planning of multiple unmanned aerial vehicles covering multiple regions based on minimum consumption ratio

J Chen, R Zhang, H Zhao, J Li, J He - Aerospace, 2023 - mdpi.com
Investigating the path planning of multiple unmanned aerial vehicles (UAVs) covering
multiple regions, this work proposes an effective heuristic method of region coverage path …

Strategies for Optimized UAV Surveillance in Various Tasks and Scenarios: A Review

Z Fang, AV Savkin - Drones, 2024 - mdpi.com
This review paper provides insights into optimization strategies for Unmanned Aerial
Vehicles (UAVs) in a variety of surveillance tasks and scenarios. From basic path planning …

Deep Learning Approach to Drogue Detection for Fixed-Wing UAV Autonomous Aerial Refueling with Visual Camera

Y Liu, H Li, L Wang, J Ai - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
In the unmanned aerial vehicle (UAV) autonomous aerial refueling process, detection and
position feedback of the refueling drogue by the refueling UAV are essential. Given the short …

UGV Charging Stations for UAV-Assisted AoI-Aware Data Collection

K Messaoudi, A Baz, OS Oubbati… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Meeting the stringent requirements of real-time Internet of Things (IoT) is a bit challenging
than expected. Indeed, IoT devices generate massive amounts of data through their sensing …

Safer Conflict-Based Search: Risk-Constrained Optimal Pathfinding for Multiple Connected and Automated Vehicles

Y Liu, H Huang, Q Xu, S Xu… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Coordinating connected and automated vehicles (CAVs) poses challenges in achieving safe
and optimal pathfinding simultaneously. In this paper, we propose safer conflict-based …

A Heuristic Task Allocation Method Based On Overlapping Coalition Formation Game for Heterogeneous UAVs

Y Li, Z Zhang, Z He, Q Sun - IEEE Internet of Things Journal, 2024 - ieeexplore.ieee.org
The demand for heterogeneous unmanned aerial vehicles (UAVs) equipped with various
types and complementary resources to perform complex tasks is increasing. Existing …