Self-Supervised Learning for Visual Obstacle Avoidance

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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Հիմնական հեղինակ: van Dijk, Tom
Ձևաչափ: Online
Լեզու:անգլերեն
Հրապարակվել է: TU Delft OPEN Publishing 2025
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Առցանց հասանելիություն:ONIX_20250522T133704_9789463665094_29
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author van Dijk, Tom
author_browse van Dijk, Tom
author_facet van Dijk, Tom
author_sort van Dijk, Tom
collection Directory of Open Access Books
description 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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institution Directory of Open Access Books
language eng
publishDate 2025
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publisher TU Delft OPEN Publishing
publisherStr TU Delft OPEN Publishing
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spelling doab-20.500.12854ir-1601772025-05-22T11:43:34Z Self-Supervised Learning for Visual Obstacle Avoidance van Dijk, Tom computer vision stereo vision monocular depth estimation obstacle avoidance self-supervised learning unmanned aerial vehicles micro aerial vehicles thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TR Transport technology and trades::TRP Aerospace and aviation technology 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. 2025-05-22T11:43:34Z 2025-05-22T11:43:34Z 2022 book ONIX_20250522T133704_9789463665094_29 9789463665094 https://directory.doabooks.org/handle/20.500.12854/160177 eng none image/jpeg Attribution 4.0 International https://store.printservice.nl/ustorethemes/HR/150/nl-NL/products/4518/Self-Supervised-Learning-for-Visual-Obstacle-Avoidance-Technical-report/ https://books.open.tudelft.nl/home/catalog/view/19/29/120 TU Delft OPEN Publishing 10.34641/mg.19 10.34641/mg.19 6e038278-520e-4e74-a239-d06f0d179364 9789463665094 open access
spellingShingle computer vision
stereo vision
monocular depth estimation
obstacle avoidance
self-supervised learning
unmanned aerial vehicles
micro aerial vehicles
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TR Transport technology and trades::TRP Aerospace and aviation technology
van Dijk, Tom
Self-Supervised Learning for Visual Obstacle Avoidance
title Self-Supervised Learning for Visual Obstacle Avoidance
title_full Self-Supervised Learning for Visual Obstacle Avoidance
title_fullStr Self-Supervised Learning for Visual Obstacle Avoidance
title_full_unstemmed Self-Supervised Learning for Visual Obstacle Avoidance
title_short Self-Supervised Learning for Visual Obstacle Avoidance
title_sort self supervised learning for visual obstacle avoidance
topic computer vision
stereo vision
monocular depth estimation
obstacle avoidance
self-supervised learning
unmanned aerial vehicles
micro aerial vehicles
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TR Transport technology and trades::TRP Aerospace and aviation technology
topic_facet computer vision
stereo vision
monocular depth estimation
obstacle avoidance
self-supervised learning
unmanned aerial vehicles
micro aerial vehicles
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TR Transport technology and trades::TRP Aerospace and aviation technology
url ONIX_20250522T133704_9789463665094_29
work_keys_str_mv AT vandijktom selfsupervisedlearningforvisualobstacleavoidance