01429nam 2200361 450 991062957650332120230224125129.0(CKB)5720000000108119(NjHacI)995720000000108119(EXLCZ)99572000000010811920230224d2022 uy 0engur|||||||||||txtrdacontentcrdamediacrrdacarrierSelf-supervised learning for visual obstacle avoidance technical report /Tom van DijkDelft :TU Delft OPEN Publishing,[2022]©20221 online resource (48 pages)94-6366-509-9 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.Self-Supervised Learning for Visual Obstacle Avoidance Drone aircraftDrone aircraft.623.7469Dijk Tom van1281145NjHacINjHaclBOOK9910629576503321Self-supervised learning for visual obstacle avoidance3018221UNINA