Abstract
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.
Highlights
From about 2007 and up to now, the collection of cartographic data from images taken by sensor integrated in a platform named Unmanned Aerial Vehicle/System (UAV/UAS) has increased significantly
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
25 points were checked, whose coordinates are known from Global Positioning System (GPS) measurements, but not involved in image transformation
Summary
From about 2007 and up to now, the collection of cartographic data from images taken by sensor (digital camera) integrated in a platform named Unmanned Aerial Vehicle/System (UAV/UAS) has increased significantly. The interest of UAV great potential for various applications as well as for road conditions and parameters determination is increasing in many countries, in Lithuania . The UAV describes a platform, which operates remotely controlled, semiautonomous or full autonomously without a pilot sitting in the vehicle. It is a modern and low-cost application compared to the piloted aerial photogrammetry. Classes and categories of UAVs are used for cartographic data collection. With the UAV, due to its small size, can be taken photography very close to an object of very small space; territories that are shielded by trees or water bodies, narrow city streets, road network, etc. (Eisenbeiss 2009; Neitzel, Klonowski 2011; Verhoeven 2009)
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