In recent years, unmanned aerial vehicles (UAVs) have undergone rapid development and are widely utilized in fields such as rescue and goods delivery. Autonomous landing is a key problem for UAVs in these scenarios and this often relies on Global Navigation Satellite System (GNSS) or Real Time Kinematic (RTK). However, these systems require relatively expensive equipment and well conditions for GNSS signals. To achieve precise autonomous landing in the GNSS denied environment, a novel landing pad and pose estimation method based on ArUco markers are designed. We propose a new marker arrangement to facilitate accurate recognition at different distances, and also design an outlier removal method to integrate the results from multiple markers. We evaluate the localization accuracy of our method through various experiments and compare it with another vision-based method. The results indicate that our method improves the landing accuracy of UAVs while maintaining a low computational demand.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    A Marker-Based Method of Autonomous Landing for Unmanned Aerial Vehicles


    Beteiligte:
    Yang, Ruilan (Autor:in) / Qi, Yuhua (Autor:in) / Pan, Chong (Autor:in) / Li, Xiong (Autor:in) / Chen, Hongbo (Autor:in)


    Erscheinungsdatum :

    18.10.2024


    Format / Umfang :

    786971 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    An Autonomous Carrier Landing System for Unmanned Aerial Vehicles

    Boskovic, J. / Redding, J. / American Institute of Aeronautics and Astronautics | British Library Conference Proceedings | 2009


    Hybrid Control of Unmanned Aerial Vehicles for Autonomous Landing

    Koo, Takkuen / Sastry, Shankar | AIAA | 2003


    Unmanned aerial vehicle expandable landing marker system

    CURLANDER JAMES CHRISTOPHER / PORTER BRANDON WILLIAM / VIOLA PAUL et al. | Europäisches Patentamt | 2022

    Freier Zugriff

    LANDING PLATFORM FOR UNMANNED AERIAL VEHICLES

    CASTELLANO ALDAVE JESÚS CARLOS / VILLADANGOS ALONSO JESÚS / ASTRAIN ESCOLA JOSÉ JAVIER | Europäisches Patentamt | 2020

    Freier Zugriff