Abstract
An open source tool’s 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 world’s 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 – 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.
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- Accepted or Published Version
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- Copyright (2017 International Multidisciplinary Scientific GeoConference & EXPO SGEM)
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- Category:
- Conference activity
- Type:
- publikacja w wydawnictwie zbiorowym recenzowanym (także w materiałach konferencyjnych)
- Title of issue:
- 17 International Multidisciplinary Scientific GeoConference SGEM 2017 :Informatics, geoinformatics and remote sensing strony 101 - 109
- ISSN:
- 1314-2706
- Language:
- English
- Publication year:
- 2017
- Bibliographic description:
- Burdziakowski P.: Evaluation of open drone map toolkit for geodetic grade aerial drone mapping – case study// 17 International Multidisciplinary Scientific GeoConference SGEM 2017 :Informatics, geoinformatics and remote sensing/ Albena: , 2017, s.101-109
- DOI:
- Digital Object Identifier (open in new tab) 10.5593/sgem2017/23/s10.013
- Bibliography: test
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- Verified by:
- Gdańsk University of Technology
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