Fast Marching Techniques for Teaming UAV’s Applications in Complex Terrain

Author:

Garrido Santiago1ORCID,Muñoz Javier1ORCID,López Blanca1ORCID,Quevedo Fernando1ORCID,Monje Concepción A.1ORCID,Moreno Luis1ORCID

Affiliation:

1. Robotics Lab, Department of Systems Engineering and Automation, Universidad Carlos III de Madrid, Av. Universidad 30, 28911 Madrid, Spain

Abstract

In this paper, we present a study on coverage missions carried out by UAV formations in 3D environments. These missions are designed to be applied in tracking and search and rescue missions, especially in the case of accidents. In this manner, the presented method focuses on the path planning stage, the objective of which is to compute a convenient trajectory to completely cover a certain area in a determined environment. The methodology followed uses a Gaussian mixture to approximate a probability of containment distribution along with the Fast Marching Square (FM2) as path planner. The Gaussians permit to define a zigzag trajectory that optimizes the path. Next, a first 2D geometric path perpendicular to the Voronoi diagram of the Gaussian distribution is calculated, obtained by skeletonization. To this path, the height above the ground is added plus the desired flight height to make it 3D. Finally, the FM2 method for formations is applied to make the path smooth and safe enough to be followed by UAVs. The simulation experiments show that the proposed method achieves good results for the zigzag path in terms of smoothness, safety and distance to cover the desired area through the formation of UAVs.

Funder

EUROPEAN COMMISSION Innovation and Networks Executive Agency

Publisher

MDPI AG

Subject

Artificial Intelligence,Computer Science Applications,Aerospace Engineering,Information Systems,Control and Systems Engineering

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Implementing and Testing a U-Space System: Lessons Learnt;Aerospace;2024-02-23

2. 4D Trajectory Planning Based on Fast Marching Square for UAV Teams;IEEE Transactions on Intelligent Transportation Systems;2023

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