Name
Abstract | ||
|---|---|---|
With the growing in the use of UAVs (Unmanned Aerial Vehicles), it is necessary to develop techniques that allow the generation of feasible paths for these vehicles. These paths take into account the nonholonomic constraints intrinsic to UAVs, such as minimum curvature, minimum torsion and maximum climb (or dive) angle. Thus, this paper proposes the use of genetic algorithms to generate paths for these vehicles in the three-dimensional space, using Bézier curves with several advantages. We consider all these three constraints in order to generate a feasible path for a small fixed-wing aircraft with severe limitations. We show results for this vehicle. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1007/978-3-642-16138-4_23 | SBIA |
Keywords | Field | DocType |
small fixed-wing aircraft,feasible path,zier curve,severe limitation,maximum climb,genetic algorithm,three-dimensional space,minimum curvature,nonholonomic constraint,unmanned aerial vehicles,minimum torsion,feasible uav path planning,bezier curves,three dimensional,path planning | Motion planning,Mathematical optimization,Curvature,Torsion (mechanics),Computer science,Bézier curve,Nonholonomic system,Climb,Genetic algorithm | Conference |
Volume | ISSN | ISBN |
6404 | 0302-9743 | 3-642-16137-5 |
Citations | PageRank | References |
7 | 1.05 | 7 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Douglas Guimarães Macharet | 1 | 49 | 9.22 |
| Armando Alves Neto | 2 | 61 | 11.32 |
| Mario Fernando Montenegro Campos | 3 | 557 | 51.60 |