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EVALUATION OF OPEN DRONE MAP TOOLKIT FOR GEODETIC GRADE AERIAL DRONE MAPPING - CASE STUDY.

Pawel Burdziakowski

First published: 2017-06-20https://doi.org/10.5593/sgem2017/23/s10.013View metrics

Abstract

An open source toolпїЅs popularity has increased considerably, as well as micro aerial vehicles (MAV) technologies based on open source hardware. An open source software and hardware delivers a wide variety of applications and technology. The worldпїЅs most successful open source projects have their roots in the academy, and now its participation includes a wide variety of academic programs and research. Based on open source technology, a case study has been designed and performed, in order to prove this technology meets geodetic requirements. The study has been performed within tested area, using MAV with construction and design based only on open hardware technology. All image data gathered have been post processed using recently developed open source toolkit for aerial drone mapping пїЅ Open Drone Map. The presented open source approach for digital surface model delivery has been compared with pure commercial approach. The commercial approach, for the same case and area, has been performed by a state of art commercial MAV technology and software. Results show differences between both approaches in data processing, accuracy and digital surface modeling. The paper concludes both process usability and ability to perform a geodetic grade surface modeling within presented case, and foreseen its usability of Open Drone Map toolkit for academic education purposes and researches.

Publication Impact Profile

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  • Citations
  • CrossRef - Citation Indexes: 9
  • Scopus - Citation Indexes: 20
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  • Mendeley - Readers: 61
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Publication details

Title
EVALUATION OF OPEN DRONE MAP TOOLKIT FOR GEODETIC GRADE AERIAL DRONE MAPPING - CASE STUDY.
Authors
Pawel Burdziakowski
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 17th International Multidisciplinary Scientific GeoConference SGEM2017, Informatics, Geoinformatics and Remote Sensing
Publisher
STEF92 Technology
Year
2017
Pages
101-110
SWS Citekey
Burdziakowski201710101110
ISSN
1314-2704
ISBN
978-619-7408-03-4
Language
en
Publication type
Conference Paper
Keywords
aerialmappingphotogrammetryUAVMAV
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Number of times cited according to Crossref: 8

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