Self-Supervised Learning for Visual Obstacle Avoidance Technical report

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...

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Bibliografiset tiedot
Päätekijä: van Dijk, Tom (auth)
Aineistotyyppi: Elektroninen Kirjan osa
Kieli:englanti
Julkaistu: Delft TU Delft Open 2022
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Yhteenveto: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.
Ulkoasu:1 electronic resource (48 p.)
ISBN:mg.19
9789463665094
978­94­6366­509­4
Pääsy:Open Access