Self-supervised learning for visual obstacle avoidance : : technical report / / Tom van Dijk.
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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| Place / Publishing House: | Delft : : TU Delft OPEN Publishing,, [2022] ©2022 |
| Year of Publication: | 2022 |
| Language: | English |
| Physical Description: | 1 online resource (48 pages) |
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| 100 | 1 | |a Dijk, Tom van, |e author. | |
| 245 | 1 | 0 | |a Self-supervised learning for visual obstacle avoidance : |b technical report / |c Tom van Dijk. |
| 246 | |a Self-Supervised Learning for Visual Obstacle Avoidance | ||
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| 588 | |a Description based on: online resource; title from PDF information screen (TU Delft OPEN Publishing, viewed February 24, 2023). | ||
| 520 | |a 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. | ||
| 650 | 0 | |a Drone aircraft. | |
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