eprintid: 8499
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/84/99
datestamp: 2023-11-09 16:20:24
lastmod: 2023-11-09 16:20:24
status_changed: 2023-11-09 16:12:48
type: conference_item
metadata_visibility: show
creators_name: Strubel, D.
creators_name: Morel, O.
creators_name: Saad, N.M.
creators_name: Fofi, D.
title: Evolutionary algorithm for positioning cameras networks mounted on UAV
ispublished: pub
keywords: Applications; Cameras; Evolutionary algorithms; Intelligent vehicle highway systems; Optimization; Particle swarm optimization (PSO); Unmanned aerial vehicles (UAV); Vehicles, Camera positions; Coverage; Ga and pso; Indoor environment; Irregular shape; Mosaic; Optimal position; Satellite images, Genetic algorithms
note: cited By 5; Conference of 28th IEEE Intelligent Vehicles Symposium, IV 2017 ; Conference Date: 11 June 2017 Through 14 June 2017; Conference Code:129705
abstract: 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.
date: 2017
publisher: Institute of Electrical and Electronics Engineers Inc.
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85028086101&doi=10.1109%2fIVS.2017.7995961&partnerID=40&md5=dbc41e136e800250852abab9f6e8ed61
id_number: 10.1109/IVS.2017.7995961
full_text_status: none
publication: IEEE Intelligent Vehicles Symposium, Proceedings
pagerange: 1758-1763
refereed: TRUE
isbn: 9781509048045
citation:   Strubel, D. and Morel, O. and Saad, N.M. and Fofi, D.  (2017) Evolutionary algorithm for positioning cameras networks mounted on UAV.  In: UNSPECIFIED.