1. Evolutionary algorithm for positioning cameras networks mounted on UAV
- Author
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David Fofi, Olivier Morel, David Strubel, Naufal M. Saad, Laboratoire d'Electronique, d'Informatique et d'Image UMR CNRS 6306 ( Le2i ), Université de Technologie de Belfort-Montbeliard ( UTBM ) -Centre National de la Recherche Scientifique ( CNRS ) -École Nationale Supérieure d'Arts et Métiers ( ENSAM ) -Université de Bourgogne ( UB ) -AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement, Laboratoire d'Electronique, d'Informatique et d'Image [EA 7508] (Le2i), Université de Technologie de Belfort-Montbeliard (UTBM)-Université de Bourgogne (UB)-École Nationale Supérieure d'Arts et Métiers (ENSAM), Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-Arts et Métiers Sciences et Technologies, and HESAM Université (HESAM)-HESAM Université (HESAM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique (CNRS)
- Subjects
Optimization ,Coverage ,[ INFO ] Computer Science [cs] ,Application ,Computer science ,UAV ,[INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS] ,ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION ,Evolutionary algorithm ,02 engineering and technology ,indoor environment ,genetic algorithms ,Set (abstract data type) ,0203 mechanical engineering ,mobile robots ,Position (vector) ,cameras ,Robot sensing systems ,[ INFO.INFO-TI ] Computer Science [cs]/Image Processing ,Algorithm design and analysis ,0202 electrical engineering, electronic engineering, information engineering ,[INFO]Computer Science [cs] ,Computer vision ,particle swarm optimisation ,[ INFO.INFO-DS ] Computer Science [cs]/Data Structures and Algorithms [cs.DS] ,Genetic Algorithm ,evolutionary algorithm ,cameras networks positioning ,particle swarm optimization ,business.industry ,GA ,PSO ,Shape ,Particle swarm optimization ,Biological cells ,020206 networking & telecommunications ,020302 automobile design & engineering ,Outdoor area ,robot vision ,Cost function ,[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV] ,Satellite ,Algorithm design ,Artificial intelligence ,unmanned aerial vehicles ,autonomous aerial vehicles ,business ,Mosaic ,satellite images - Abstract
International audience; This paper aims to optimize the coverage of a given area from a set of views to allow a complete mosaicing. Among the investigated methods to find the best camera positions, two of them are studied, namely the Particle Swarm Optimization (PSO) and the Genetic Algorithms (GA). After having performed experiments to compare the algorithms, the hybridization of GA and PSO is investigated. To validate the proposed method, it is simulated area of irregular shapes with the cameras mounted on a Unmanned Aerial Vehicles (UAVs). V-REP is used to simulate the UAVs in an indoor environment and satellite images are used for a large outdoor area. The simulation validates the efficiency of the proposed method to find the optimal position of cameras. Then by using the images acquired it is possible to monitor the area and to compute a full mosaic of it.
- Published
- 2017
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