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 …
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
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) …
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 …
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 …
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
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 …
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
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 …
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 …
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
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 …
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
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 …
The problem can be solved using different behaviour constraints and performance criteria …