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Sensors Placement in Urban Environments Using Genetic Algorithms

Authors:
Oren Gal
Yerach Doytsher

Keywords: Visibility; 3D; Urban environment; Spatial analysis; Genetic algorithm; Sensor coverage

Abstract:
Optimized coverage using multi-sensors is a challenging task, which is becoming more and more complicated in dense and occluded environments such as the urban environments. In this paper, we propose a multi-sensors placement solution for optimized coverage in dense urban environments. Our main contribution is based on a unique concept when facing partially visible objects, such as trees, in an urban scene, extending our previous work and proposing fast and exact 3D visible volumes analysis in urban scenes based on an analytic solution. We consider several 3D models for 3D visibility analysis and present an optimized solution using genetic algorithm, suited to our problem's constraints. We demonstrate the results through simulations with a 3D neighborhood model, taking trees into account.

Pages: 82 to 87

Copyright: Copyright (c) IARIA, 2015

Publication date: February 22, 2015

Published in: conference

ISSN: 2308-393X

ISBN: 978-1-61208-383-4

Location: Lisbon, Portugal

Dates: from February 22, 2015 to February 27, 2015