Spatial Resolution Optimization for Terrain Coverage with UAVs

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

Two-dimensional mapping by unmanned aerial vehicles (UAV) is becoming a wide used technique. This technique is being applied to precision agriculture, 2D inspection, photogrammetry, etc. For all these areas is quite important to acquire the finer spatial resolution as possible. In this paper, we address the problem of computing the configuration of UAV and camera that optimizes the spatial resolution. We consider the constraints of the problem such as overlap and UAV speed. In addition, we model the movement of the vehicle as a stochastic process. This method could assist or replace the step of setting flight parameters, currently done by an expert pilot. To validate the proposed method, we present simulation experiments and a real case of 2D mapping.

Original languageEnglish
Title of host publicationProceedings - 2017 International Conference on Mechatronics, Electronics, and Automotive Engineering, ICMEAE 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages37-42
Number of pages6
ISBN (Electronic)9781538625316
DOIs
StatePublished - 27 Dec 2017
Event2017 International Conference on Mechatronics, Electronics, and Automotive Engineering, ICMEAE 2017 - Cuernavaca, Morelos, Mexico
Duration: 21 Nov 201724 Nov 2017

Publication series

NameProceedings - 2017 International Conference on Mechatronics, Electronics, and Automotive Engineering, ICMEAE 2017
Volume2017-January

Conference

Conference2017 International Conference on Mechatronics, Electronics, and Automotive Engineering, ICMEAE 2017
Country/TerritoryMexico
CityCuernavaca, Morelos
Period21/11/1724/11/17

Keywords

  • Coverage
  • Photogrammetry
  • Spatial resolution

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