Volume XLII-4/W10 | Copyright
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4/W10, 143-149, 2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

  12 Sep 2018

12 Sep 2018


A. Petrovsky1, M. Doole2, J. Ellerbroek2, J. M. Hoekstra2, and F. Tomasello3 A. Petrovsky et al.
  • 1Directorate European Civil-Military Aviation, Eurocontrol, 1130, Brussels, Belgium
  • 2Dept. of Control and Simulation, Faculty of Aerospace Engineering, Delft University of Technology, Delft, The Netherlands
  • 3Sciences and Technologies for Air Transport, University Giustino Fortunato, Benevento, Italy; Senior partner of EuroUSC Italia

Keywords: Obstacle data, UTM, U-Space, Aircraft, Drones, Personal air vehicles, Rotorcraft, Helicopters, Aeronautical data quality

Abstract. The objective of this paper is to raise awareness about the significance of collecting and ensuring the quality of the obstacle data required for the safety of air navigation for both manned and unmanned aviation. This information could be of importance to geodetic, CityGML, 3D model and Building Information Management (BIM) community. With the advancement of future air mobility concepts such as drones and Personal Air Vehicles (PAVs), there is an increased demand for obstacle data of higher accuracy, including at Very Low Level (VLL) altitude. The paper presents the requirements pertaining to aviation such that the above mentioned communities could understand the existing complexity. This complexity adheres to the aggregation of quality-assured obstacle data from domains outside the aviation field’s responsibility. It is expected that with model developments (e.g. BIM), new solutions could be identified to support the aviation community with the aggregation of obstacle data of required quality.

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