On accuracy of position estimation from aerial imagery captured by low-flying UAVs
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F17%3APU126418" target="_blank" >RIV/00216305:26230/17:PU126418 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1016/j.ijtst.2017.02.002" target="_blank" >https://doi.org/10.1016/j.ijtst.2017.02.002</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.ijtst.2017.02.002" target="_blank" >10.1016/j.ijtst.2017.02.002</a>
Alternative languages
Result language
angličtina
Original language name
On accuracy of position estimation from aerial imagery captured by low-flying UAVs
Original language description
The application of low-flying Unmanned Aerial Vehicles (UAVs) for traffic monitoring and surveillance requires an estimation of position measurement accuracy of monitored objects. In this work we aim to analyse and provide insight into the accuracy of position estimation of objects based on aerial imagery captured by low flying UAV for the purpose of traffic monitoring. The analysis is focused on data gathered by a low-cost action camera mounted on a multicopter UAV flying above a planar scene. We assume a simple, straightforward method of position estimation of object based on homography mapping between two 2D planes derived from the position of images of landmarks - objects with known real world position. We assume errors caused by inaccuracy of the following values: the landmarks' real world position, the landmarks' and target's real world elevation, and the captured image positions of both the landmarks and the target. Additionally, a geometric deformation of captured frame caused by imperfect camera lenses is considered. The paper further analyses the effect of varying magnitude of errors, camera position, incidence angle and both the landmarks' and the target's positions in the scene or captured frame, and compares the results with real world experiments. The results can be used to estimate the feasibility and applicability of certain solutions to object position estimation. The tool for the calculation of the accuracy of position estimation and locating the most suitable camera pose for a given setup is provided.
Czech name
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Czech description
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Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
International Journal of Transportation Science and Technology
ISSN
2046-0430
e-ISSN
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Volume of the periodical
5
Issue of the periodical within the volume
3
Country of publishing house
CN - CHINA
Number of pages
15
Pages from-to
152-166
UT code for WoS article
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EID of the result in the Scopus database
2-s2.0-85053138363