Regular aviation does usually not utilize the very low level airspace below 150 m. Even so, this altitude range cannot be exclusively reserved for the operation of unmanned aircraft. Therefore, measures have to be implemented to avoid mid-air collisions, especially with manned aviation. Primarily, the mid-air collision risk is supposed to be reduced on a strategic level preflight by thorough flight route planning and making use of advanced unmanned aircraft system traffic management concepts. Besides, the residual mid-air collision risk is supposed to be reduced on a tactical level through the use of detect and avoid systems, which support remote pilots especially during flights beyond visual line of sight. However, an accepted technical solution for unmanned aircraft does not exist at the moment. On that account, the contribution of this chapter is three-fold. First, we identify suitable detect and avoid system architectures. Second, we review suitable cooperative sensor technologies. Third, we determine the minimum required sensor range in simulations. As a result, we propose a solution for operation in European airspace that is already available: FLARM cooperative sensors onboard the UA surveille the surrounding airspace and the remote pilot tracks intruders and commands avoidance maneuvers.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Detect and Avoid for Unmanned Aircraft in Very Low Level Airspace


    Weitere Titelangaben:

    Research Topics in Aerospace


    Beteiligte:
    Dauer, Johann C. (Herausgeber:in) / Schalk, Lukas Marcel (Autor:in) / Peinecke, Niklas (Autor:in)


    Erscheinungsdatum :

    2021-11-03


    Format / Umfang :

    19 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Very Low-Level Airspace Assessment and Classification for Unmanned Aircraft Operation

    Wu, Qinggang / Zhang, Jianping / Zhong, Yiqian et al. | IEEE | 2021


    Extended Airspace Encounter Models for Unmanned Aircraft Sense and Avoid Safety Evaluation

    Weinert, Andrew J. / Harkleroad, Eric / Griffith, John et al. | AIAA | 2013


    Distributed Bidding-Based Detect-and-Avoid for Multiple Unmanned Aerial Vehicles in National Airspace

    Scott, Drew / Radmanesh, Mohammadreza / Sarim, Mohammad et al. | IEEE | 2019



    Investigating Detect-and-Avoid Surveillance Performance for Unmanned Aircraft Systems

    Park, Chunki / Lee, Seung Man / Mueller, Eric Richard | NTRS | 2014