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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| Ձևաչափ: | Online |
| Լեզու: | անգլերեն |
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TU Delft OPEN Publishing
2025
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| Խորագրեր: | |
| Առցանց հասանելիություն: | ONIX_20250522T133704_9789463665094_29 |
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| _version_ | 1869526124562743296 |
|---|---|
| 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. |
| format | Online |
| id | doab-20.500.12854ir-160177 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | TU Delft OPEN Publishing |
| publisherStr | TU Delft OPEN Publishing |
| record_format | ojs |
| 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 |