Challenges with obstacle data for manned and unmanned aviation

A. A. Petrovsky, Malik Doole, Joost Ellerbroek, Jacco Hoekstra, F. Tomasello

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

3 Citations (Scopus)
76 Downloads (Pure)

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.
Original languageEnglish
Title of host publicationThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Subtitle of host publicationhttps://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-4-W10/
PublisherISPRS
Pages143-149
VolumeVolume XLII-4/W10
DOIs
Publication statusPublished - 12 Sep 2018
Event13th 3D GeoInfo Conference - Delft, Netherlands
Duration: 1 Oct 20182 Oct 2018
Conference number: 13
https://3dgeoinfo2018.nl/

Conference

Conference13th 3D GeoInfo Conference
CountryNetherlands
CityDelft
Period1/10/182/10/18
Internet address

Keywords

  • Obstacle data
  • UTM
  • U-Space
  • Aircraft
  • Drones
  • Personal air vehicles
  • Rotorcraft
  • Helicopters
  • Aeronautical data quality

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