Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B1, 31-36, 2016
https://doi.org/10.5194/isprs-archives-XLI-B1-31-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
 
02 Jun 2016
DEVELOPING THE STABILIZED MAPPING SYSTEM FOR THE GYROCOPTER – REPORT FROM THE FIRST TESTS
J. Kolecki, M. Prochaska, Z. Kurczyński, P. Piątek, and J. Baranowski ADRAM Ltd. Zabierzów, Poland
Keywords: autogyro, stabilization, LiDAR data quality, trajectory estimation, power spectral density Abstract. The LiDAR mapping carried out using gyrocopters provides a relatively cheap alternative for traditional mapping involving airplanes. The costs of the fuel and the overall maintenance are much lower when compared to planes. At the same time the flight kinematics of the gyrocopter makes it an ideal vehicle for corridor mapping. However a limited payload and a strongly limited space prevent using stabilized platforms dedicated for aerial photogrammetry. As the proper stabilization of the laser scanner during the flight is crucial in order to keep the desirable quality of the LiDAR data, it was decided to develop the prototype of the stabilized, ultra-light mapping platform that can meet the restricted requirements of the gyrocopter. The paper starts with the brief discussion of the legal and practical aspects of the LiDAR data quality, dealing mostly with the influence of the flight imperfections on the point pattern and point density. Afterwards the mapping system prototype is characterized, taking into account three main components: stabilized platform, sensors and control. Subsequently first in-flight tests are described. Though the data are still not perfect mostly due to vibrations, the stabilization provides a substantial improvement of their geometry, reducing both roll and pitch deflections.
Conference paper (PDF, 1249 KB)


Citation: Kolecki, J., Prochaska, M., Kurczyński, Z., Piątek, P., and Baranowski, J.: DEVELOPING THE STABILIZED MAPPING SYSTEM FOR THE GYROCOPTER – REPORT FROM THE FIRST TESTS, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B1, 31-36, https://doi.org/10.5194/isprs-archives-XLI-B1-31-2016, 2016.

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