With a growing number of drones, the risk of collision with other air traffic or fixed obstacles increases. New safety measures are required to keep the operation of Unmanned Aerial Vehicles (UAVs) safe. One of these measures is the use of a Collision Avoidance System (CAS), a system that helps the drone autonomously detect and avoid obstacles


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    Title :

    Self-Supervised Learning for Visual Obstacle Avoidance : Technical report


    Contributors:

    Publication date :

    2022


    Size :

    1 Online-Ressource (48 p.)



    Type of media :

    Book


    Type of material :

    Electronic Resource


    Language :

    Unknown





    Self-Supervised Learning for Visual Obstacle Avoidance : Technical report

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    Self-Supervised Learning for Visual Obstacle Avoidance : Technical report

    van Dijk, Tom | GWLB - Gottfried Wilhelm Leibniz Bibliothek | 2022

    Free access


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