TY  - CONF
Y1  - 2017///
PB  - Institute of Electrical and Electronics Engineers Inc.
SN  - 9781509048045
A1  - Strubel, D.
A1  - Morel, O.
A1  - Saad, N.M.
A1  - Fofi, D.
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85028086101&doi=10.1109%2fIVS.2017.7995961&partnerID=40&md5=dbc41e136e800250852abab9f6e8ed61
EP  - 1763
AV  - none
N1  - cited By 5; Conference of 28th IEEE Intelligent Vehicles Symposium, IV 2017 ; Conference Date: 11 June 2017 Through 14 June 2017; Conference Code:129705
N2  - 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. © 2017 IEEE.
TI  - Evolutionary algorithm for positioning cameras networks mounted on UAV
ID  - scholars8499
SP  - 1758
KW  - Applications; Cameras; Evolutionary algorithms; Intelligent vehicle highway systems; Optimization; Particle swarm optimization (PSO); Unmanned aerial vehicles (UAV); Vehicles
KW  -  Camera positions; Coverage; Ga and pso; Indoor environment; Irregular shape; Mosaic; Optimal position; Satellite images
KW  -  Genetic algorithms
ER  -