In the context of Unmanned Aerial Vehicle (UAV) teleoperation, the platform is remotely controlled by a human pilot. In order to provide a better situational awareness to the pilot, haptic feedback can be sent through the controller to indicate the presence of obstacles around the UAV. This feedback makes obstacle avoidance easier for the pilot and complements the visual cues obtained from a camera mounted on the UAV. To compute the feedback, an artificial force field is extended to 3D and modified to correct the situation caused by symmetric obstacles. This feedback is provided by the controller using a new algorithm involving virtual springs. An experimental evaluation of the method using a simulation is carried out including a statistical analysis of the results. This experiment shows that our method can reduce the number of collisions and decrease the operator's workload at a safety cost.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Haptic feedback for obstacle avoidance applied to unmanned aerial vehicles


    Beteiligte:
    Courtois, Hugo (Autor:in) / Aouf, Nabil (Autor:in)


    Erscheinungsdatum :

    2017-06-01


    Format / Umfang :

    4664404 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    MOVING OBSTACLE AVOIDANCE FOR UNMANNED AERIAL VEHICLES

    Lin, Y. / Saripalli, S. / American Helicopter Society | British Library Conference Proceedings | 2013


    Rescue obstacle avoidance unmanned aerial vehicle

    LI XIAOLU / LI ZHENGQIANG | Europäisches Patentamt | 2023

    Freier Zugriff

    Advancements in Obstacle Avoidance Technology for Unmanned Aerial Vehicles (UAVs)

    Mishra, Debani Prasad / Yadav, Priyanshu / Rath, Aashutosh et al. | IEEE | 2024


    Monocular vision-based obstacle detection/avoidance for unmanned aerial vehicles

    Al-Kaff, Abdulla / Qinggang Meng, / Martin, David et al. | IEEE | 2016