Artificial intelligence-based autonomous UAV networks: A survey

NI Sarkar, S Gul - Drones, 2023 - mdpi.com
Recent advancements in unmanned aerial vehicles (UAVs) have proven UAVs to be an
inevitable part of future networking and communications systems. While many researchers …

Coupling an Autonomous UAV With a ML Framework for Sustainable Environmental Monitoring and Remote Sensing

FA Almalki, SM Salem, WM Fawzi… - International Journal …, 2024 - Wiley Online Library
Many countries face problems in monitoring plant problems and monitoring large
environments, as until now, there is no accurate means of aerial monitoring through which …

Multi-robot motion planning under MITL specifications based on time petri nets

S Hustiu, DV Dimarogonas, C Mahulea… - 2023 European …, 2023 - ieeexplore.ieee.org
This paper proposes a high-level path planning strategy under Time Petri net (TPN)
formalism for a multiagent system, which is subject to Metric Interval Temporal Logic (MITL) …

Trajectory planning of unmanned aerial vehicle based on the improved biogeography-based optimization algorithm

Z Xue, X Liu - Advances in Mechanical Engineering, 2021 - journals.sagepub.com
This paper is concerned with trajectory planning for unmanned aerial vehicle in a three-
dimensional complex workspace. Biogeography-based optimization algorithm is widely …

Whitening of greenhouse's roof using drones and Petri net models

S Hustiu, M Kloetzer, A López-Martínez… - 2022 IEEE 27th …, 2022 - ieeexplore.ieee.org
The Unmanned Aerial Vehicles (UAVs), commonly known as drones, are significant in the
agriculture sphere to automate the work such as: data acquisition, crop spraying among …

Safe vehicle motion design with learning for moving in environment with uncertainties

D Tompos, B Németh, T Hegedűs, V Van Tan… - IFAC-PapersOnLine, 2024 - Elsevier
In this paper a motion profile design for unmanned aerial vehicles is proposed which
method is able to guarantee safe collision-free motion. The motivations of the work are …

[PDF][PDF] LTL task decomposition for 3D high-level path planning

S Hustiu, I Hustiu, M Kloetzer, C Mahulea - Journal of Control …, 2021 - ceai.srait.ro
The paper addresses the problem of planning the motion of a team of drones such that a co-
safe Linear Temporal Logic (LTL) formula is accomplished. The high-level formula can …

Optimal path planning for unmanned vehicles using improved ant colony optimization algorithm

H Deng, J Zhu - Neural Computing for Advanced Applications: Second …, 2021 - Springer
To prevent the locally optimal problem and slow convergence problem of unmanned
vehicles (UVs) path planning, an improved ant colony algorithm is proposed by using a …

Mission assignment and 3d path planning for a team of UAVs

S Hustiu, M Kloetzer, C Mahulea - 2021 25th International …, 2021 - ieeexplore.ieee.org
Significant topics for Unmanned Aerial Vehicle (UAV) flight are represented by path
planning and task assignment in a 3D environment. In this paper we propose a …

Collision Free Path Planning for Unmanned Aerial Vehicles in Environments with Dynamic Obstacles

S Hustiu, M Kloetzer, A Burlacu - 2020 24th International …, 2020 - ieeexplore.ieee.org
A relevant problem in unmanned aerial vehicles flight is planning paths in 3D environments.
The problem can be solved using different behaviour constraints and performance criteria …