UAV Photogrammetry for Road Surface Modelling
Recently, the interest of Unmanned Aerial Vehicle application in photogrammetric environment for roads observation and monitoring has increased in many countries, in Lithuania as well. The experimental object for demonstration of capability and efficiency of aerial vehicle-based remote sensing techn...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Riga Technical University Press
2015-06-01
|
| Series: | The Baltic Journal of Road and Bridge Engineering |
| Subjects: | |
| Online Access: | https://bjrbe-journals.rtu.lv/article/view/3431 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1846093508525424640 |
|---|---|
| author | Birutė Ruzgienė Česlovas Aksamitauskas Ignas Daugėla Šarūnas Prokopimas Virgaudas Puodžiukas Donatas Rekus |
| author_facet | Birutė Ruzgienė Česlovas Aksamitauskas Ignas Daugėla Šarūnas Prokopimas Virgaudas Puodžiukas Donatas Rekus |
| author_sort | Birutė Ruzgienė |
| collection | DOAJ |
| description | Recently, the interest of Unmanned Aerial Vehicle application in photogrammetric environment for roads observation and monitoring has increased in many countries, in Lithuania as well. The experimental object for demonstration of capability and efficiency of aerial vehicle-based remote sensing technology for road data collection was a western bypass of Vilnius. The platform of the model UX5 Trimble with mounted camera Sony NEX-5R was applied for gaining images. The implemented means are mobile and not expensive. Photogrammetric technique with software package Business Center Photogrammetry Module was applied for the modelling of images. The correctness of digital surface model generally depends on camera resolution, flight height and accuracy of ground control points. The coordinates of control points were determined using Global Positioning System Trimble R4. Paper demonstrates results of a new technology application possibilities for linear object (road) mapping and accuracy evaluation of spatial models. The road points positioning accuracy investigation was carried out in consideration with geodetic control measurements. The average root mean square error for the points coordinates is 2.94 cm, and standard deviations – 2.78 cm. Analyzing coincidence or mismatches of Vilnius western bypass project data with photogrammetric product, not significant discrepancies of road section features were determined. The cost consideration of Unmanned Aerial Vehicle in conjunction with photogrammetry employment at experimental object is presented. |
| format | Article |
| id | doaj-art-610de9d724694d1aa8fcc667df50da6f |
| institution | Kabale University |
| issn | 1822-427X 1822-4288 |
| language | English |
| publishDate | 2015-06-01 |
| publisher | Riga Technical University Press |
| record_format | Article |
| series | The Baltic Journal of Road and Bridge Engineering |
| spelling | doaj-art-610de9d724694d1aa8fcc667df50da6f2025-01-02T17:11:43ZengRiga Technical University PressThe Baltic Journal of Road and Bridge Engineering1822-427X1822-42882015-06-0110215115810.3846/bjrbe.2015.191875UAV Photogrammetry for Road Surface ModellingBirutė Ruzgienė0Česlovas Aksamitauskas1Ignas Daugėla2Šarūnas Prokopimas3Virgaudas Puodžiukas4Donatas Rekus5Vilnius Gediminas Technical University, Saulėtekio al. 11, 10223 Vilnius, LithuaniaVilnius Gediminas Technical University, Saulėtekio al. 11, 10223 Vilnius, LithuaniaUAB InfoEra, S. Žukausko g. 17, 08234 Vilnius, LithuaniaUAB InfoEra, S. Žukausko g. 17, 08234 Vilnius, LithuaniaVilnius Gediminas Technical University, Saulėtekio al. 11, 10223 Vilnius, LithuaniaKaunas University of Technology, K. Donelaičio g. 73, 94424 Kaunas, LithuaniaRecently, the interest of Unmanned Aerial Vehicle application in photogrammetric environment for roads observation and monitoring has increased in many countries, in Lithuania as well. The experimental object for demonstration of capability and efficiency of aerial vehicle-based remote sensing technology for road data collection was a western bypass of Vilnius. The platform of the model UX5 Trimble with mounted camera Sony NEX-5R was applied for gaining images. The implemented means are mobile and not expensive. Photogrammetric technique with software package Business Center Photogrammetry Module was applied for the modelling of images. The correctness of digital surface model generally depends on camera resolution, flight height and accuracy of ground control points. The coordinates of control points were determined using Global Positioning System Trimble R4. Paper demonstrates results of a new technology application possibilities for linear object (road) mapping and accuracy evaluation of spatial models. The road points positioning accuracy investigation was carried out in consideration with geodetic control measurements. The average root mean square error for the points coordinates is 2.94 cm, and standard deviations – 2.78 cm. Analyzing coincidence or mismatches of Vilnius western bypass project data with photogrammetric product, not significant discrepancies of road section features were determined. The cost consideration of Unmanned Aerial Vehicle in conjunction with photogrammetry employment at experimental object is presented.https://bjrbe-journals.rtu.lv/article/view/3431unmanned aerial vehiclephotogrammetryimage processingorthophotoaccuracyroad observation |
| spellingShingle | Birutė Ruzgienė Česlovas Aksamitauskas Ignas Daugėla Šarūnas Prokopimas Virgaudas Puodžiukas Donatas Rekus UAV Photogrammetry for Road Surface Modelling The Baltic Journal of Road and Bridge Engineering unmanned aerial vehicle photogrammetry image processing orthophoto accuracy road observation |
| title | UAV Photogrammetry for Road Surface Modelling |
| title_full | UAV Photogrammetry for Road Surface Modelling |
| title_fullStr | UAV Photogrammetry for Road Surface Modelling |
| title_full_unstemmed | UAV Photogrammetry for Road Surface Modelling |
| title_short | UAV Photogrammetry for Road Surface Modelling |
| title_sort | uav photogrammetry for road surface modelling |
| topic | unmanned aerial vehicle photogrammetry image processing orthophoto accuracy road observation |
| url | https://bjrbe-journals.rtu.lv/article/view/3431 |
| work_keys_str_mv | AT biruteruzgiene uavphotogrammetryforroadsurfacemodelling AT ceslovasaksamitauskas uavphotogrammetryforroadsurfacemodelling AT ignasdaugela uavphotogrammetryforroadsurfacemodelling AT sarunasprokopimas uavphotogrammetryforroadsurfacemodelling AT virgaudaspuodziukas uavphotogrammetryforroadsurfacemodelling AT donatasrekus uavphotogrammetryforroadsurfacemodelling |